README.md

# Awesome Python  

[![Awesome](https://awesome.re/badge.svg)](https://awesome.re)  ![Last commit](https://img.shields.io/github/last-commit/dylanhogg/awesome-python)  [![License: MIT](https://img.shields.io/badge/license-MIT-green.svg)](https://opensource.org/licenses/MIT)  

Hand-picked awesome Python libraries and frameworks, organised by category 🐍  

Interactive version: [www.awesomepython.org](https://www.awesomepython.org/)  
  
<img src='https://www.awesomepython.org/img/media/github-repo-banner.jpg' />  

Updated 11 Feb 2026 with 1,553 repos

## Categories

- [Newly Created Repositories](#newly-created-repositories) - Awesome Python is regularly updated, and this category lists the most recently created GitHub repositories from all the other repositories here (10 repos)
- [Agentic AI](#agentic-ai) - Agentic AI libraries, frameworks and tools: AI agents, workflows, autonomous decision-making, goal-oriented tasks, and API integrations (109 repos)
- [Code Quality](#code-quality) - Code quality tooling: linters, formatters, pre-commit hooks, unused code removal (14 repos)
- [Crypto and Blockchain](#crypto-and-blockchain) - Cryptocurrency and blockchain libraries: trading bots, API integration, Ethereum virtual machine, solidity (10 repos)
- [Data](#data) - General data libraries: data processing, serialisation, formats, databases, SQL, connectors, web crawlers, data generation/augmentation/checks (81 repos)
- [Debugging](#debugging) - Debugging and tracing tools (3 repos)
- [Diffusion Text to Image](#diffusion-text-to-image) - Text-to-image diffusion model libraries, tools and apps for generating images from natural language (40 repos)
- [Finance](#finance) - Financial and quantitative libraries: investment research tools, market data, algorithmic trading, backtesting, financial derivatives (27 repos)
- [Game Development](#game-development) - Game development tools, engines and libraries (6 repos)
- [GIS](#gis) - Geospatial libraries: raster and vector data formats, interactive mapping and visualisation, computing frameworks for processing images, projections (17 repos)
- [Graph](#graph) - Graphs and network libraries: network analysis, graph machine learning, visualisation (4 repos)
- [GUI](#gui) - Graphical user interface libraries and toolkits (6 repos)
- [Jupyter](#jupyter) - Jupyter and JupyterLab and Notebook tools, libraries and plugins (16 repos)
- [LLMs and ChatGPT](#llms-and-chatgpt) - Large language model and GPT libraries and frameworks: auto-gpt, agents, QnA, chain-of-thought workflows, API integations. Also see the <a href="https://github.com/dylanhogg/awesome-python#natural-language-processing">Natural Language Processing</a> category for crossover (348 repos)
- [Math and Science](#math-and-science) - Mathematical, numerical and scientific libraries (22 repos)
- [Machine Learning - General](#machine-learning---general) - General and classical machine learning libraries. See below for other sections covering specialised ML areas (143 repos)
- [Machine Learning - Deep Learning](#machine-learning---deep-learning) - Machine learning libraries that cross over with deep learning in some way (67 repos)
- [Machine Learning - Interpretability](#machine-learning---interpretability) - Machine learning interpretability libraries. Covers explainability, prediction explainations, dashboards, understanding knowledge development in training (21 repos)
- [Machine Learning - Ops](#machine-learning---ops) - MLOps tools, frameworks and libraries: intersection of machine learning, data engineering and DevOps; deployment, health, diagnostics and governance of ML models (48 repos)
- [Machine Learning - Reinforcement](#machine-learning---reinforcement) - Machine learning libraries and toolkits that cross over with reinforcement learning in some way: agent reinforcement learning, agent environemnts, RLHF (22 repos)
- [Machine Learning - Time Series](#machine-learning---time-series) - Machine learning and classical timeseries libraries: forecasting, seasonality, anomaly detection, econometrics (17 repos)
- [Natural Language Processing](#natural-language-processing) - Natural language processing libraries and toolkits: text processing, topic modelling, tokenisers, chatbots. Also see the <a href="https://github.com/dylanhogg/awesome-python#llms-and-chatgpt">LLMs and ChatGPT</a> category for crossover (72 repos)
- [Packaging](#packaging) - Python packaging, dependency management and bundling (21 repos)
- [Pandas](#pandas) - Pandas and dataframe libraries: data analysis, statistical reporting, pandas GUIs, pandas performance optimisations (18 repos)
- [Performance](#performance) - Performance, parallelisation and low level libraries (19 repos)
- [Profiling](#profiling) - Memory and CPU/GPU profiling tools and libraries (8 repos)
- [Security](#security) - Security related libraries: vulnerability discovery, SQL injection, environment auditing (12 repos)
- [Simulation](#simulation) - Simulation libraries: robotics, economic, agent-based, traffic, physics, astronomy, chemistry, quantum simulation. Also see the <a href="https://github.com/dylanhogg/awesome-python#math-and-science">Maths and Science</a> category for crossover (35 repos)
- [Study](#study) - Miscellaneous study resources: algorithms, general resources, system design, code repos for textbooks, best practices, tutorials (63 repos)
- [Template](#template) - Template tools and libraries: cookiecutter repos, generators, quick-starts (9 repos)
- [Terminal](#terminal) - Terminal and console tools and libraries: CLI tools, terminal based formatters, progress bars (18 repos)
- [Testing](#testing) - Testing libraries: unit testing, load testing, acceptance testing, code coverage, browser automation, plugins (15 repos)
- [Typing](#typing) - Typing libraries: static and run-time type checking, annotations (14 repos)
- [Utility](#utility) - General utility libraries: miscellaneous tools, linters, code formatters, version management, package tools, documentation tools (140 repos)
- [Vizualisation](#vizualisation) - Vizualisation tools and libraries. Application frameworks, 2D/3D plotting, dashboards, WebGL (30 repos)
- [Web](#web) - Web related frameworks and libraries: webapp servers, WSGI, ASGI, asyncio, HTTP, REST, user management (48 repos)


## Newly Created Repositories

Awesome Python is regularly updated, and this category lists the most recently created GitHub repositories from all the other repositories here.  

1. <a href="https://github.com/affaan-m/everything-claude-code">affaan-m/</a><b><a href="https://github.com/affaan-m/everything-claude-code">everything-claude-code</a></b> ⭐ 23,150    
   Complete Claude Code configuration collection - agents, skills, hooks, commands, rules, MCPs. Battle-tested configs from an Anthropic hackathon winner.  

2. <a href="https://github.com/karpathy/llm-council">karpathy/</a><b><a href="https://github.com/karpathy/llm-council">llm-council</a></b> ⭐ 13,742    
   LLM Council works together to answer your hardest questions  

3. <a href="https://github.com/originalankur/maptoposter">originalankur/</a><b><a href="https://github.com/originalankur/maptoposter">maptoposter</a></b> ⭐ 7,190    
   Transform your favorite cities into beautiful, minimalist designs. MapToPoster lets you create and export visually striking map posters with code.  

4. <a href="https://github.com/anthropics/knowledge-work-plugins">anthropics/</a><b><a href="https://github.com/anthropics/knowledge-work-plugins">knowledge-work-plugins</a></b> ⭐ 6,910    
   Knowledge Work Plugins that turn Claude into a specialist for your role, team, and company  

5. <a href="https://github.com/deepseek-ai/engram">deepseek-ai/</a><b><a href="https://github.com/deepseek-ai/engram">Engram</a></b> ⭐ 3,252    
   Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models.  

6. <a href="https://github.com/aiming-lab/simplemem">aiming-lab/</a><b><a href="https://github.com/aiming-lab/simplemem">SimpleMem</a></b> ⭐ 1,871    
   SimpleMem addresses the fundamental challenge of efficient long-term memory for LLM agents through a three-stage pipeline grounded in Semantic Lossless Compression.  

7. <a href="https://github.com/1rgs/nanocode">1rgs/</a><b><a href="https://github.com/1rgs/nanocode">nanocode</a></b> ⭐ 1,669    
   Minimal Claude Code alternative. Single Python file, zero dependencies, ~250 lines.  

8. <a href="https://github.com/alexzhang13/rlm">alexzhang13/</a><b><a href="https://github.com/alexzhang13/rlm">rlm</a></b> ⭐ 1,668    
   Recursive Language Models (RLMs) are a task-agnostic inference paradigm for language models (LMs) to handle near-infinite length contexts  
   🔗 [arxiv.org/abs/2512.24601v1](https://arxiv.org/abs/2512.24601v1)  

9. <a href="https://github.com/agno-agi/dash">agno-agi/</a><b><a href="https://github.com/agno-agi/dash">dash</a></b> ⭐ 1,598    
   Self-learning data agent that grounds its answers in 6 layers of context. Inspired by OpenAI's in-house implementation.  

10. <a href="https://github.com/open-tinker/opentinker">open-tinker/</a><b><a href="https://github.com/open-tinker/opentinker">OpenTinker</a></b> ⭐ 598    
   OpenTinker is an RL-as-a-Service infrastructure for foundation models, providing a flexible environment design framework that supports diverse training scenarios over data and interaction modes.  

## Agentic AI

Agentic AI libraries, frameworks and tools: AI agents, workflows, autonomous decision-making, goal-oriented tasks, and API integrations.  

1. <a href="https://github.com/logspace-ai/langflow">logspace-ai/</a><b><a href="https://github.com/logspace-ai/langflow">langflow</a></b> ⭐ 144,166    
   Langflow is a powerful tool for building and deploying AI-powered agents and workflows.  
   🔗 [www.langflow.org](http://www.langflow.org)  

2. <a href="https://github.com/langgenius/dify">langgenius/</a><b><a href="https://github.com/langgenius/dify">dify</a></b> ⭐ 127,042    
   Production-ready platform for agentic workflow development.  
   🔗 [dify.ai](https://dify.ai)  

3. <a href="https://github.com/langchain-ai/langchain">langchain-ai/</a><b><a href="https://github.com/langchain-ai/langchain">langchain</a></b> ⭐ 124,984    
   🦜🔗 The platform for reliable agents.  
   🔗 [docs.langchain.com/oss/python/langchain](https://docs.langchain.com/oss/python/langchain/)  

4. <a href="https://github.com/browser-use/browser-use">browser-use/</a><b><a href="https://github.com/browser-use/browser-use">browser-use</a></b> ⭐ 76,464    
   Browser use is the easiest way to connect your AI agents with the browser.  
   🔗 [browser-use.com](https://browser-use.com)  

5. <a href="https://github.com/github/spec-kit">github/</a><b><a href="https://github.com/github/spec-kit">spec-kit</a></b> ⭐ 64,735    
   Toolkit to help you get started with Spec-Driven Development: specifications become executable, directly generating working implementations  

6. <a href="https://github.com/geekan/metagpt">geekan/</a><b><a href="https://github.com/geekan/metagpt">MetaGPT</a></b> ⭐ 63,365    
   🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming  
   🔗 [mgx.dev](https://mgx.dev/)  

7. <a href="https://github.com/microsoft/autogen">microsoft/</a><b><a href="https://github.com/microsoft/autogen">autogen</a></b> ⭐ 53,832    
   AutoGen is a framework for creating multi-agent AI applications that can act autonomously or work alongside humans.  
   🔗 [microsoft.github.io/autogen](https://microsoft.github.io/autogen/)  

8. <a href="https://github.com/run-llama/llama_index">run-llama/</a><b><a href="https://github.com/run-llama/llama_index">llama_index</a></b> ⭐ 46,554    
   LlamaIndex is the leading framework for building LLM-powered agents over your data.  
   🔗 [developers.llamaindex.ai](https://developers.llamaindex.ai)  

9. <a href="https://github.com/mem0ai/mem0">mem0ai/</a><b><a href="https://github.com/mem0ai/mem0">mem0</a></b> ⭐ 45,890    
   Enhances AI assistants and agents with an intelligent memory layer, enabling personalized AI interactions  
   🔗 [mem0.ai](https://mem0.ai)  

10. <a href="https://github.com/crewaiinc/crewai">crewaiinc/</a><b><a href="https://github.com/crewaiinc/crewai">crewAI</a></b> ⭐ 43,083    
   Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.  
   🔗 [crewai.com](https://crewai.com)  

11. <a href="https://github.com/agno-agi/agno">agno-agi/</a><b><a href="https://github.com/agno-agi/agno">agno</a></b> ⭐ 37,137    
   Build, run, manage multi-agent systems.  
   🔗 [docs.agno.com](https://docs.agno.com)  

12. <a href="https://github.com/openbmb/chatdev">openbmb/</a><b><a href="https://github.com/openbmb/chatdev">ChatDev</a></b> ⭐ 28,989    
   ChatDev stands as a virtual software company that operates through various intelligent agents holding different roles, including Chief Executive Officer, Chief Product Officer etc  
   🔗 [arxiv.org/abs/2307.07924](https://arxiv.org/abs/2307.07924)  

13. <a href="https://github.com/stanford-oval/storm">stanford-oval/</a><b><a href="https://github.com/stanford-oval/storm">storm</a></b> ⭐ 27,814    
   An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.  
   🔗 [storm.genie.stanford.edu](http://storm.genie.stanford.edu)  

14. <a href="https://github.com/composiohq/composio">composiohq/</a><b><a href="https://github.com/composiohq/composio">composio</a></b> ⭐ 26,428    
   Composio equips your AI agents & LLMs with 100+ high-quality integrations via function calling  
   🔗 [docs.composio.dev](https://docs.composio.dev)  

15. <a href="https://github.com/huggingface/smolagents">huggingface/</a><b><a href="https://github.com/huggingface/smolagents">smolagents</a></b> ⭐ 25,075    
   🤗 smolagents: a barebones library for agents that think in code.  
   🔗 [huggingface.co/docs/smolagents](https://huggingface.co/docs/smolagents)  

16. <a href="https://github.com/assafelovic/gpt-researcher">assafelovic/</a><b><a href="https://github.com/assafelovic/gpt-researcher">gpt-researcher</a></b> ⭐ 24,993    
   An LLM agent that conducts deep research (local and web) on any given topic and generates a long report with citations.  
   🔗 [gptr.dev](https://gptr.dev)  

17. <a href="https://github.com/fosowl/agenticseek">fosowl/</a><b><a href="https://github.com/fosowl/agenticseek">agenticSeek</a></b> ⭐ 24,539    
   A 100% local alternative to Manus AI, this voice-enabled AI assistant autonomously browses the web, writes code, and plans tasks while keeping all data on your device.  
   🔗 [agenticseek.tech](http://agenticseek.tech)  

18. <a href="https://github.com/microsoft/omniparser">microsoft/</a><b><a href="https://github.com/microsoft/omniparser">OmniParser</a></b> ⭐ 24,265    
   OmniParser is a comprehensive method for parsing user interface screenshots into structured and easy-to-understand elements  

19. <a href="https://github.com/langchain-ai/langgraph">langchain-ai/</a><b><a href="https://github.com/langchain-ai/langgraph">langgraph</a></b> ⭐ 23,696    
   LangGraph is a library for building stateful, multi-actor applications with LLMs, built on top of (and intended to be used with) LangChain.  
   🔗 [docs.langchain.com/oss/python/langgraph](https://docs.langchain.com/oss/python/langgraph/)  

20. <a href="https://github.com/yoheinakajima/babyagi">yoheinakajima/</a><b><a href="https://github.com/yoheinakajima/babyagi">babyagi</a></b> ⭐ 22,094    
   GPT-4 powered task-driven autonomous agent  
   🔗 [babyagi.org](https://babyagi.org/)  

21. <a href="https://github.com/a2aproject/a2a">a2aproject/</a><b><a href="https://github.com/a2aproject/a2a">A2A</a></b> ⭐ 21,577    
   An open protocol enabling communication and interoperability between opaque agentic applications.  
   🔗 [a2a-protocol.org](https://a2a-protocol.org/)  

22. <a href="https://github.com/openai/swarm">openai/</a><b><a href="https://github.com/openai/swarm">swarm</a></b> ⭐ 20,819    
   A framework exploring ergonomic, lightweight multi-agent orchestration.  

23. <a href="https://github.com/letta-ai/letta">letta-ai/</a><b><a href="https://github.com/letta-ai/letta">letta</a></b> ⭐ 20,805    
   Letta (formerly MemGPT) is a framework for creating LLM services with memory.  
   🔗 [docs.letta.com](https://docs.letta.com/)  

24. <a href="https://github.com/nirdiamant/genai_agents">nirdiamant/</a><b><a href="https://github.com/nirdiamant/genai_agents">GenAI_Agents</a></b> ⭐ 19,499    
   Tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive AI systems.  

25. <a href="https://github.com/bytedance/deer-flow">bytedance/</a><b><a href="https://github.com/bytedance/deer-flow">deer-flow</a></b> ⭐ 19,381    
   DeerFlow is a community-driven Deep Research framework, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.  
   🔗 [deerflow.tech](https://deerflow.tech)  

26. <a href="https://github.com/unity-technologies/ml-agents">unity-technologies/</a><b><a href="https://github.com/unity-technologies/ml-agents">ml-agents</a></b> ⭐ 19,065    
   The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.  
   🔗 [unity.com/products/machine-learning-agents](https://unity.com/products/machine-learning-agents)  

27. <a href="https://github.com/camel-ai/owl">camel-ai/</a><b><a href="https://github.com/camel-ai/owl">owl</a></b> ⭐ 18,929    
   🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation  

28. <a href="https://github.com/openai/openai-agents-python">openai/</a><b><a href="https://github.com/openai/openai-agents-python">openai-agents-python</a></b> ⭐ 18,502    
   A lightweight yet powerful framework for building multi-agent workflows. It is provider-agnostic, supporting the OpenAI Responses and Chat Completions APIs, as well as 100+ other LLMs.  
   🔗 [openai.github.io/openai-agents-python](https://openai.github.io/openai-agents-python/)  

29. <a href="https://github.com/dzhng/deep-research">dzhng/</a><b><a href="https://github.com/dzhng/deep-research">deep-research</a></b> ⭐ 18,372    
   An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models.  

30. <a href="https://github.com/alibaba-nlp/deepresearch">alibaba-nlp/</a><b><a href="https://github.com/alibaba-nlp/deepresearch">DeepResearch</a></b> ⭐ 18,035    
   Tongyi Deep Research, the Leading Open-source Deep Research Agent  
   🔗 [tongyi-agent.github.io/blog/introducing-tongyi-deep-research](https://tongyi-agent.github.io/blog/introducing-tongyi-deep-research/)  

31. <a href="https://github.com/google-gemini/gemini-fullstack-langgraph-quickstart">google-gemini/</a><b><a href="https://github.com/google-gemini/gemini-fullstack-langgraph-quickstart">gemini-fullstack-langgraph-quickstart</a></b> ⭐ 17,758    
   Demonstrates a fullstack application using a React and LangGraph-powered backend agent. The agent is designed to perform comprehensive research on a user's query.  
   🔗 [ai.google.dev/gemini-api/docs/google-search](https://ai.google.dev/gemini-api/docs/google-search)  

32. <a href="https://github.com/emcie-co/parlant">emcie-co/</a><b><a href="https://github.com/emcie-co/parlant">parlant</a></b> ⭐ 17,579    
   LLM agents built for control. Designed for real-world use. Deployed in minutes.  
   🔗 [www.parlant.io](https://www.parlant.io)  

33. <a href="https://github.com/google/adk-python">google/</a><b><a href="https://github.com/google/adk-python">adk-python</a></b> ⭐ 17,293    
   An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.  
   🔗 [google.github.io/adk-docs](https://google.github.io/adk-docs/)  

34. <a href="https://github.com/agentscope-ai/agentscope">agentscope-ai/</a><b><a href="https://github.com/agentscope-ai/agentscope">agentscope</a></b> ⭐ 15,850    
   AgentScope: Agent-Oriented Programming for Building LLM Applications  
   🔗 [doc.agentscope.io](https://doc.agentscope.io/)  

35. <a href="https://github.com/camel-ai/camel">camel-ai/</a><b><a href="https://github.com/camel-ai/camel">camel</a></b> ⭐ 15,751    
   🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org  
   🔗 [docs.camel-ai.org](https://docs.camel-ai.org/)  

36. <a href="https://github.com/pydantic/pydantic-ai">pydantic/</a><b><a href="https://github.com/pydantic/pydantic-ai">pydantic-ai</a></b> ⭐ 14,427    
   PydanticAI is a Python Agent Framework designed to make it less painful to build production grade applications with Generative AI.  
   🔗 [ai.pydantic.dev](https://ai.pydantic.dev)  

37. <a href="https://github.com/asyncfuncai/deepwiki-open">asyncfuncai/</a><b><a href="https://github.com/asyncfuncai/deepwiki-open">deepwiki-open</a></b> ⭐ 13,812    
   Custom implementation of DeepWiki, automatically creates beautiful, interactive wikis for any GitHub, GitLab, or BitBucket repository  
   🔗 [asyncfunc.mintlify.app](https://asyncfunc.mintlify.app/)  

38. <a href="https://github.com/smol-ai/developer">smol-ai/</a><b><a href="https://github.com/smol-ai/developer">developer</a></b> ⭐ 12,205    
   the first library to let you embed a developer agent in your own app!  
   🔗 [twitter.com/smolmodels](https://twitter.com/SmolModels)  

39. <a href="https://github.com/sakanaai/ai-scientist">sakanaai/</a><b><a href="https://github.com/sakanaai/ai-scientist">AI-Scientist</a></b> ⭐ 11,987    
   The AI Scientist, the first comprehensive system for fully automatic scientific discovery, enabling Foundation Models such as Large Language Models (LLMs) to perform research independently.  

40. <a href="https://github.com/microsoft/agent-lightning">microsoft/</a><b><a href="https://github.com/microsoft/agent-lightning">agent-lightning</a></b> ⭐ 11,622    
   A structured way to train your agents with Automatic Prompt Optimization (APO). Just like you train a machine learning model on data, you can train an agent on a task dataset.  
   🔗 [microsoft.github.io/agent-lightning](https://microsoft.github.io/agent-lightning/)  

41. <a href="https://github.com/ag-ui-protocol/ag-ui">ag-ui-protocol/</a><b><a href="https://github.com/ag-ui-protocol/ag-ui">ag-ui</a></b> ⭐ 11,565    
   AG-UI: the Agent-User Interaction Protocol. Bring Agents into Frontend Applications.  
   🔗 [ag-ui.com](https://ag-ui.com)  

42. <a href="https://github.com/langchain-ai/open_deep_research">langchain-ai/</a><b><a href="https://github.com/langchain-ai/open_deep_research">open_deep_research</a></b> ⭐ 10,301    
   Open Deep Research is an open source assistant that automates research and produces customizable reports on any topic  

43. <a href="https://github.com/microsoft/magentic-ui">microsoft/</a><b><a href="https://github.com/microsoft/magentic-ui">magentic-ui</a></b> ⭐ 9,609    
   A prototype of a human-centered interface powered by a multi-agent system that can browse and perform actions on the web, generate and execute code  
   🔗 [www.microsoft.com/en-us/research/blog/magentic-ui-an-experimental-human-centered-web-agent](https://www.microsoft.com/en-us/research/blog/magentic-ui-an-experimental-human-centered-web-agent/)  

44. <a href="https://github.com/humanlayer/humanlayer">humanlayer/</a><b><a href="https://github.com/humanlayer/humanlayer">humanlayer</a></b> ⭐ 8,911    
   HumanLayer is an API and SDK that enables AI Agents to contact humans for help, feedback, and approvals.  
   🔗 [humanlayer.dev/code](https://humanlayer.dev/code)  

45. <a href="https://github.com/meta-llama/llama-stack">meta-llama/</a><b><a href="https://github.com/meta-llama/llama-stack">llama-stack</a></b> ⭐ 8,246    
   Llama Stack standardizes the building blocks needed to bring genai applications to market. These blocks cover model training and fine-tuning, evaluation, and running AI agents in production  
   🔗 [llamastack.github.io](https://llamastack.github.io)  

46. <a href="https://github.com/upsonic/upsonic">upsonic/</a><b><a href="https://github.com/upsonic/upsonic">Upsonic</a></b> ⭐ 7,750    
   Upsonic is a reliability-focused framework designed for real-world applications. It enables trusted agent workflows in your organization through advanced reliability features, including verification layers, triangular architecture, validator agents, and output evaluation systems.  
   🔗 [docs.upsonic.ai](https://docs.upsonic.ai)  

47. <a href="https://github.com/zilliztech/deep-searcher">zilliztech/</a><b><a href="https://github.com/zilliztech/deep-searcher">deep-searcher</a></b> ⭐ 7,506    
   DeepSearcher combines reasoning LLMs and VectorDBs o perform search, evaluation, and reasoning based on private data, providing highly accurate answer and comprehensive report  
   🔗 [zilliztech.github.io/deep-searcher](https://zilliztech.github.io/deep-searcher/)  

48. <a href="https://github.com/awslabs/agent-squad">awslabs/</a><b><a href="https://github.com/awslabs/agent-squad">agent-squad</a></b> ⭐ 7,280    
   Flexible, lightweight open-source framework for orchestrating multiple AI agents to handle complex conversations  
   🔗 [awslabs.github.io/agent-squad](https://awslabs.github.io/agent-squad/)  

49. <a href="https://github.com/x-plug/mobileagent">x-plug/</a><b><a href="https://github.com/x-plug/mobileagent">MobileAgent</a></b> ⭐ 7,035    
    Mobile-Agent: The Powerful GUI Agent Family  

50. <a href="https://github.com/mnotgod96/appagent">mnotgod96/</a><b><a href="https://github.com/mnotgod96/appagent">AppAgent</a></b> ⭐ 6,478    
   AppAgent: Multimodal Agents as Smartphone Users, an LLM-based multimodal agent framework designed to operate smartphone apps.  
   🔗 [appagent-official.github.io](https://appagent-official.github.io/)  

51. <a href="https://github.com/samsungsailmontreal/tinyrecursivemodels">samsungsailmontreal/</a><b><a href="https://github.com/samsungsailmontreal/tinyrecursivemodels">TinyRecursiveModels</a></b> ⭐ 6,275    
   A recursive reasoning model that achieves amazing scores ARC-AGI-1 and ARC-AGI-2 with a tiny 7M parameters neural network  

52. <a href="https://github.com/prefecthq/marvin">prefecthq/</a><b><a href="https://github.com/prefecthq/marvin">marvin</a></b> ⭐ 6,055    
   an ambient intelligence library  
   🔗 [marvin.mintlify.app](https://marvin.mintlify.app)  

53. <a href="https://github.com/openai/openai-cs-agents-demo">openai/</a><b><a href="https://github.com/openai/openai-cs-agents-demo">openai-cs-agents-demo</a></b> ⭐ 5,903    
   Demo of a Customer Service Agent interface built on top of the OpenAI Agents SDK  

54. <a href="https://github.com/pyspur-dev/pyspur">pyspur-dev/</a><b><a href="https://github.com/pyspur-dev/pyspur">pyspur</a></b> ⭐ 5,660    
   A visual playground for agentic workflows: Iterate over your agents 10x faster  
   🔗 [pyspur.dev](https://pyspur.dev)  

55. <a href="https://github.com/kyegomez/swarms">kyegomez/</a><b><a href="https://github.com/kyegomez/swarms">swarms</a></b> ⭐ 5,638    
   The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai  
   🔗 [docs.swarms.world](https://docs.swarms.world)  

56. <a href="https://github.com/brainblend-ai/atomic-agents">brainblend-ai/</a><b><a href="https://github.com/brainblend-ai/atomic-agents">atomic-agents</a></b> ⭐ 5,516    
   Atomic Agents provides a set of tools and agents that can be combined to create powerful applications. It is built on top of Instructor and leverages the power of Pydantic for data and schema validation and serialization.  

57. <a href="https://github.com/crewaiinc/crewai-examples">crewaiinc/</a><b><a href="https://github.com/crewaiinc/crewai-examples">crewAI-examples</a></b> ⭐ 5,436    
   A collection of examples that show how to use CrewAI framework to automate workflows.  

58. <a href="https://github.com/landing-ai/vision-agent">landing-ai/</a><b><a href="https://github.com/landing-ai/vision-agent">vision-agent</a></b> ⭐ 5,206    
   VisionAgent is a library that helps you utilize agent frameworks to generate code to solve your vision task  

59. <a href="https://github.com/codelion/openevolve">codelion/</a><b><a href="https://github.com/codelion/openevolve">openevolve</a></b> ⭐ 5,203    
   Evolutionary coding agent (like AlphaEvolve) enabling automated scientific and algorithmic discovery  

60. <a href="https://github.com/strands-agents/sdk-python">strands-agents/</a><b><a href="https://github.com/strands-agents/sdk-python">sdk-python</a></b> ⭐ 4,940    
   A model-driven approach to building AI agents in just a few lines of code.  
   🔗 [strandsagents.com](https://strandsagents.com)  

61. <a href="https://github.com/rowboatlabs/rowboat">rowboatlabs/</a><b><a href="https://github.com/rowboatlabs/rowboat">rowboat</a></b> ⭐ 4,321    
   Local-first AI coworker, with memory  
   🔗 [www.rowboatlabs.com](https://www.rowboatlabs.com)  

62. <a href="https://github.com/meta-llama/llama-agentic-system">meta-llama/</a><b><a href="https://github.com/meta-llama/llama-agentic-system">llama-stack-apps</a></b> ⭐ 4,289    
   Agentic components of the Llama Stack APIs  

63. <a href="https://github.com/tencentcloudadp/youtu-agent">tencentcloudadp/</a><b><a href="https://github.com/tencentcloudadp/youtu-agent">youtu-agent</a></b> ⭐ 4,279    
   A flexible, high-performance framework for building, running, and evaluating autonomous agents  
   🔗 [tencentcloudadp.github.io/youtu-agent](https://tencentcloudadp.github.io/youtu-agent/)  

64. <a href="https://github.com/ag2ai/ag2">ag2ai/</a><b><a href="https://github.com/ag2ai/ag2">ag2</a></b> ⭐ 4,082    
   AG2 (formerly AutoGen) is an open-source programming framework for building AI agents and facilitating cooperation among multiple agents to solve tasks.  
   🔗 [ag2.ai](https://ag2.ai)  

65. <a href="https://github.com/joshuac215/agent-service-toolkit">joshuac215/</a><b><a href="https://github.com/joshuac215/agent-service-toolkit">agent-service-toolkit</a></b> ⭐ 4,034    
   A full toolkit for running an AI agent service built with LangGraph, FastAPI and Streamlit.  
   🔗 [agent-service-toolkit.streamlit.app](https://agent-service-toolkit.streamlit.app)  

66. <a href="https://github.com/going-doer/paper2code">going-doer/</a><b><a href="https://github.com/going-doer/paper2code">Paper2Code</a></b> ⭐ 4,000    
   A multi-agent LLM system that transforms paper into a code repository. It follows a three-stage pipeline: planning, analysis, and code generation, each handled by specialized agents.  

67. <a href="https://github.com/getzep/zep">getzep/</a><b><a href="https://github.com/getzep/zep">zep</a></b> ⭐ 3,999    
   Zep is a memory platform for AI agents that learns from user interactions and business data  
   🔗 [help.getzep.com](https://help.getzep.com)  

68. <a href="https://github.com/langroid/langroid">langroid/</a><b><a href="https://github.com/langroid/langroid">langroid</a></b> ⭐ 3,849    
   Harness LLMs with Multi-Agent Programming  
   🔗 [langroid.github.io/langroid](https://langroid.github.io/langroid/)  

69. <a href="https://github.com/openmanus/openmanus-rl">openmanus/</a><b><a href="https://github.com/openmanus/openmanus-rl">OpenManus-RL</a></b> ⭐ 3,836    
   OpenManus-RL is an open-source initiative collaboratively led by Ulab-UIUC and MetaGPT. This project is an extended version of the original OpenManus initiative.  

70. <a href="https://github.com/i-am-bee/beeai-framework">i-am-bee/</a><b><a href="https://github.com/i-am-bee/beeai-framework">beeai-framework</a></b> ⭐ 3,069    
   Build production-ready AI agents in both Python and Typescript.  
   🔗 [framework.beeai.dev](http://framework.beeai.dev)  

71. <a href="https://github.com/facebookresearch/pearl">facebookresearch/</a><b><a href="https://github.com/facebookresearch/pearl">Pearl</a></b> ⭐ 2,971    
   A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.   

72. <a href="https://github.com/cheshire-cat-ai/core">cheshire-cat-ai/</a><b><a href="https://github.com/cheshire-cat-ai/core">core</a></b> ⭐ 2,951    
   AI agent microservice  
   🔗 [cheshirecat.ai](https://cheshirecat.ai)  

73. <a href="https://github.com/vllm-project/semantic-router">vllm-project/</a><b><a href="https://github.com/vllm-project/semantic-router">semantic-router</a></b> ⭐ 2,907    
   An Mixture-of-Models router that directs OpenAI API requests to the most suitable models from a defined pool based on Semantic Understanding  
   🔗 [vllm-semantic-router.com](https://vllm-semantic-router.com)  

74. <a href="https://github.com/om-ai-lab/omagent">om-ai-lab/</a><b><a href="https://github.com/om-ai-lab/omagent">OmAgent</a></b> ⭐ 2,624    
   OmAgent is python library for building multimodal language agents with ease. We try to keep the library simple without too much overhead like other agent framework.  
   🔗 [om-agent.com](https://om-agent.com)  

75. <a href="https://github.com/swe-agent/mini-swe-agent">swe-agent/</a><b><a href="https://github.com/swe-agent/mini-swe-agent">mini-swe-agent</a></b> ⭐ 2,606    
   The 100 line AI agent that solves GitHub issues or helps you in your command line  
   🔗 [mini-swe-agent.com](https://mini-swe-agent.com)  

76. <a href="https://github.com/griptape-ai/griptape">griptape-ai/</a><b><a href="https://github.com/griptape-ai/griptape">griptape</a></b> ⭐ 2,458    
   Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.   
   🔗 [www.griptape.ai](https://www.griptape.ai)  

77. <a href="https://github.com/langchain-ai/executive-ai-assistant">langchain-ai/</a><b><a href="https://github.com/langchain-ai/executive-ai-assistant">executive-ai-assistant</a></b> ⭐ 2,161    
   Executive AI Assistant (EAIA) is an AI agent that attempts to do the job of an Executive Assistant (EA).  

78. <a href="https://github.com/btahir/open-deep-research">btahir/</a><b><a href="https://github.com/btahir/open-deep-research">open-deep-research</a></b> ⭐ 2,119    
   Open source alternative to Gemini Deep Research. Generate reports with AI based on search results.  
   🔗 [opendeepresearch.vercel.app](https://opendeepresearch.vercel.app)  

79. <a href="https://github.com/agentops-ai/agentstack">agentops-ai/</a><b><a href="https://github.com/agentops-ai/agentstack">AgentStack</a></b> ⭐ 2,086    
   AgentStack scaffolds your agent stack - The tech stack that collectively is your agent  

80. <a href="https://github.com/run-llama/llama_deploy">run-llama/</a><b><a href="https://github.com/run-llama/llama_deploy">llama_deploy</a></b> ⭐ 2,071    
   Async-first framework for deploying, scaling, and productionizing agentic multi-service systems based on workflows from llama_index.  
   🔗 [docs.llamaindex.ai/en/stable/module_guides/llama_deploy](https://docs.llamaindex.ai/en/stable/module_guides/llama_deploy/)  

81. <a href="https://github.com/sakanaai/ai-scientist-v2">sakanaai/</a><b><a href="https://github.com/sakanaai/ai-scientist-v2">AI-Scientist-v2</a></b> ⭐ 2,034    
   The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search  

82. <a href="https://github.com/openautocoder/agentless">openautocoder/</a><b><a href="https://github.com/openautocoder/agentless">Agentless</a></b> ⭐ 2,002    
   Agentless🐱:  an agentless approach to automatically solve software development problems  

83. <a href="https://github.com/weaviate/elysia">weaviate/</a><b><a href="https://github.com/weaviate/elysia">elysia</a></b> ⭐ 1,867    
   Elysia is an agentic platform designed to use tools in a decision tree. A decision agent decides which tools to use dynamically based on its environment and context.  

84. <a href="https://github.com/jd-opensource/oxygent">jd-opensource/</a><b><a href="https://github.com/jd-opensource/oxygent">OxyGent</a></b> ⭐ 1,831    
   OxyGent is a modular multi-agent framework that lets you build, deploy, and evolve AI teams  
   🔗 [oxygent.jd.com](https://oxygent.jd.com)  

85. <a href="https://github.com/msoedov/agentic_security">msoedov/</a><b><a href="https://github.com/msoedov/agentic_security">agentic_security</a></b> ⭐ 1,749    
   An open-source vulnerability scanner for Agent Workflows and LLMs. Protecting AI systems from jailbreaks, fuzzing, and multimodal attacks.  
   🔗 [agentic-security.vercel.app](https://agentic-security.vercel.app)  

86. <a href="https://github.com/agno-agi/dash">agno-agi/</a><b><a href="https://github.com/agno-agi/dash">dash</a></b> ⭐ 1,598    
   Self-learning data agent that grounds its answers in 6 layers of context. Inspired by OpenAI's in-house implementation.  

87. <a href="https://github.com/szczyglis-dev/py-gpt">szczyglis-dev/</a><b><a href="https://github.com/szczyglis-dev/py-gpt">py-gpt</a></b> ⭐ 1,559    
   Desktop AI Assistant powered by GPT-5, GPT-4, o1, o3, Gemini, Claude, Ollama, DeepSeek, Perplexity, Grok, Bielik, chat, vision, voice, RAG, image and video generation, agents, tools, MCP, plugins, speech synthesis and recognition, web search, memory, presets, assistants,and more. Linux, Windows, Mac  
   🔗 [pygpt.net](https://pygpt.net)  

88. <a href="https://github.com/agentera/agently">agentera/</a><b><a href="https://github.com/agentera/agently">Agently</a></b> ⭐ 1,530    
   Agently is a development framework that helps developers build AI agent native application really fast.  
   🔗 [agently.tech](http://agently.tech)  

89. <a href="https://github.com/shengranhu/adas">shengranhu/</a><b><a href="https://github.com/shengranhu/adas">ADAS</a></b> ⭐ 1,498    
   Automated Design of Agentic Systems using Meta Agent Search to show agents can invent novel and powerful agent designs  
   🔗 [www.shengranhu.com/adas](https://www.shengranhu.com/ADAS/)  

90. <a href="https://github.com/link-agi/autoagents">link-agi/</a><b><a href="https://github.com/link-agi/autoagents">AutoAgents</a></b> ⭐ 1,456    
   [IJCAI 2024] Generate different roles for GPTs to form a collaborative entity for complex tasks.  
   🔗 [huggingface.co/spaces/linksoul/autoagents](https://huggingface.co/spaces/LinkSoul/AutoAgents)  

91. <a href="https://github.com/prefecthq/controlflow">prefecthq/</a><b><a href="https://github.com/prefecthq/controlflow">ControlFlow</a></b> ⭐ 1,388    
   ControlFlow provides a structured, developer-focused framework for defining workflows and delegating work to LLMs, without sacrificing control or transparency  
   🔗 [controlflow.ai](https://controlflow.ai)  

92. <a href="https://github.com/langchain-ai/langgraph-swarm-py">langchain-ai/</a><b><a href="https://github.com/langchain-ai/langgraph-swarm-py">langgraph-swarm-py</a></b> ⭐ 1,351    
   A library for creating swarm-style multi-agent systems using LangGraph. A swarm is a type of multi-agent architecture where agents dynamically hand off control to one another based on their specializations  
   🔗 [langchain-ai.github.io/langgraph/concepts/multi_agent](https://langchain-ai.github.io/langgraph/concepts/multi_agent/)  

93. <a href="https://github.com/bytedance-seed/m3-agent">bytedance-seed/</a><b><a href="https://github.com/bytedance-seed/m3-agent">m3-agent</a></b> ⭐ 1,214    
   Seeing, Listening, Remembering, and Reasoning: A Multimodal Agent with Long-Term Memory  

94. <a href="https://github.com/k-dense-ai/karpathy">k-dense-ai/</a><b><a href="https://github.com/k-dense-ai/karpathy">karpathy</a></b> ⭐ 1,186    
   An agentic Machine Learning Engineer that trains state-of-the-art ML models using Claude Code SDK and Google ADK  
   🔗 [k-dense.ai](https://k-dense.ai)  

95. <a href="https://github.com/plurai-ai/intellagent">plurai-ai/</a><b><a href="https://github.com/plurai-ai/intellagent">intellagent</a></b> ⭐ 1,161    
   Simulate interactions, analyze performance, and gain actionable insights for conversational agents. Test, evaluate, and optimize your agent to ensure reliable real-world deployment.  
   🔗 [intellagent-doc.plurai.ai](https://intellagent-doc.plurai.ai/)  

96. <a href="https://github.com/google-deepmind/concordia">google-deepmind/</a><b><a href="https://github.com/google-deepmind/concordia">concordia</a></b> ⭐ 1,155    
   Concordia is a library to facilitate construction and use of generative agent-based models to simulate interactions of agents in grounded physical, social, or digital space.  

97. <a href="https://github.com/strnad/crewai-studio">strnad/</a><b><a href="https://github.com/strnad/crewai-studio">CrewAI-Studio</a></b> ⭐ 1,144    
   agentic,gui,automation  

98. <a href="https://github.com/thudm/cogagent">thudm/</a><b><a href="https://github.com/thudm/cogagent">CogAgent</a></b> ⭐ 1,124    
   An open-sourced end-to-end VLM-based GUI Agent  

99. <a href="https://github.com/victordibia/autogen-ui">victordibia/</a><b><a href="https://github.com/victordibia/autogen-ui">autogen-ui</a></b> ⭐ 981    
   Web UI for AutoGen (A Framework Multi-Agent LLM Applications)  

100. <a href="https://github.com/thytu/agentarium">thytu/</a><b><a href="https://github.com/thytu/agentarium">Agentarium</a></b> ⭐ 933    
   Framework for managing and orchestrating AI agents with ease. Agentarium provides a flexible and intuitive way to create, manage, and coordinate interactions between multiple AI agents in various environments.  

101. <a href="https://github.com/alpha-innovator/internagent">alpha-innovator/</a><b><a href="https://github.com/alpha-innovator/internagent">InternAgent</a></b> ⭐ 840    
   When Agent Becomes the Scientist – Building Closed-Loop System from Hypothesis to Verification  
   🔗 [discovery.intern-ai.org.cn/home](https://discovery.intern-ai.org.cn/home)  

102. <a href="https://github.com/deedy/mac_computer_use">deedy/</a><b><a href="https://github.com/deedy/mac_computer_use">mac_computer_use</a></b> ⭐ 831    
   A fork of Anthropic Computer Use that you can run on Mac computers to give Claude and other AI models autonomous access to your computer.  
   🔗 [x.com/deedydas/status/1849481225041559910](https://x.com/deedydas/status/1849481225041559910)  

103. <a href="https://github.com/codingmoh/open-codex">codingmoh/</a><b><a href="https://github.com/codingmoh/open-codex">open-codex</a></b> ⭐ 665    
   Open Codex is a fully open-source command-line AI assistant inspired by OpenAI Codex, supporting local language models like phi-4-mini and full integration with Ollama.  

104. <a href="https://github.com/salesforceairesearch/agentlite">salesforceairesearch/</a><b><a href="https://github.com/salesforceairesearch/agentlite">AgentLite</a></b> ⭐ 641    
   AgentLite is a research-oriented library designed for building and advancing LLM-based task-oriented agent systems. It simplifies the implementation of new agent/multi-agent architectures, enabling easy orchestration of multiple agents through a manager agent.  

105. <a href="https://github.com/quantalogic/quantalogic">quantalogic/</a><b><a href="https://github.com/quantalogic/quantalogic">quantalogic</a></b> ⭐ 461    
   QuantaLogic is a ReAct (Reasoning & Action) framework for building advanced AI agents. The cli version include coding capabilities comparable to Aider.  

106. <a href="https://github.com/agentscope-ai/agentscope-runtime">agentscope-ai/</a><b><a href="https://github.com/agentscope-ai/agentscope-runtime">agentscope-runtime</a></b> ⭐ 375    
   AgentScope Runtime: secure sandboxed tool execution and scalable agent deployment  
   🔗 [runtime.agentscope.io](https://runtime.agentscope.io/)  

107. <a href="https://github.com/mannaandpoem/openmanus">mannaandpoem/</a><b><a href="https://github.com/mannaandpoem/openmanus">OpenManus</a></b> ⭐ 306    
   Open source version of Manus, the general AI agent  

108. <a href="https://github.com/sakanaai/ai-scientist-iclr2025-workshop-experiment">sakanaai/</a><b><a href="https://github.com/sakanaai/ai-scientist-iclr2025-workshop-experiment">AI-Scientist-ICLR2025-Workshop-Experiment</a></b> ⭐ 279    
   A paper produced by The AI Scientist passed a peer-review process at a workshop in a top machine learning conference  

109. <a href="https://github.com/prithivirajdamodaran/route0x">prithivirajdamodaran/</a><b><a href="https://github.com/prithivirajdamodaran/route0x">Route0x</a></b> ⭐ 119    
   A production-grade query routing solution, leveraging LLMs while optimizing for cost per query  

## Code Quality

Code quality tooling: linters, formatters, pre-commit hooks, unused code removal.  

1. <a href="https://github.com/astral-sh/ruff">astral-sh/</a><b><a href="https://github.com/astral-sh/ruff">ruff</a></b> ⭐ 45,341    
   An extremely fast Python linter and code formatter, written in Rust.  
   🔗 [docs.astral.sh/ruff](https://docs.astral.sh/ruff)  

2. <a href="https://github.com/psf/black">psf/</a><b><a href="https://github.com/psf/black">black</a></b> ⭐ 41,322    
   The uncompromising Python code formatter  
   🔗 [black.readthedocs.io/en/stable](https://black.readthedocs.io/en/stable/)  

3. <a href="https://github.com/pre-commit/pre-commit">pre-commit/</a><b><a href="https://github.com/pre-commit/pre-commit">pre-commit</a></b> ⭐ 14,844    
   A framework for managing and maintaining multi-language pre-commit hooks.  
   🔗 [pre-commit.com](https://pre-commit.com)  

4. <a href="https://github.com/google/yapf">google/</a><b><a href="https://github.com/google/yapf">yapf</a></b> ⭐ 13,977    
   A formatter for Python files  

5. <a href="https://github.com/sqlfluff/sqlfluff">sqlfluff/</a><b><a href="https://github.com/sqlfluff/sqlfluff">sqlfluff</a></b> ⭐ 9,443    
   A modular SQL linter and auto-formatter with support for multiple dialects and templated code.  
   🔗 [www.sqlfluff.com](https://www.sqlfluff.com)  

6. <a href="https://github.com/pycqa/isort">pycqa/</a><b><a href="https://github.com/pycqa/isort">isort</a></b> ⭐ 6,893    
   A Python utility / library to sort imports.  
   🔗 [pycqa.github.io/isort](https://pycqa.github.io/isort/)  

7. <a href="https://github.com/davidhalter/jedi">davidhalter/</a><b><a href="https://github.com/davidhalter/jedi">jedi</a></b> ⭐ 6,100    
   Awesome autocompletion, static analysis and refactoring library for python  
   🔗 [jedi.readthedocs.io](http://jedi.readthedocs.io)  

8. <a href="https://github.com/pycqa/pylint">pycqa/</a><b><a href="https://github.com/pycqa/pylint">pylint</a></b> ⭐ 5,638    
   It's not just a linter that annoys you!  
   🔗 [pylint.readthedocs.io/en/latest](https://pylint.readthedocs.io/en/latest/)  

9. <a href="https://github.com/jendrikseipp/vulture">jendrikseipp/</a><b><a href="https://github.com/jendrikseipp/vulture">vulture</a></b> ⭐ 4,291    
   Find dead Python code  

10. <a href="https://github.com/asottile/pyupgrade">asottile/</a><b><a href="https://github.com/asottile/pyupgrade">pyupgrade</a></b> ⭐ 4,031    
   A tool (and pre-commit hook) to automatically upgrade syntax for newer versions of the language.  

11. <a href="https://github.com/pycqa/flake8">pycqa/</a><b><a href="https://github.com/pycqa/flake8">flake8</a></b> ⭐ 3,752    
   flake8 is a python tool that glues together pycodestyle, pyflakes, mccabe, and third-party plugins to check the style and quality of some python code.  
   🔗 [flake8.pycqa.org](https://flake8.pycqa.org)  

12. <a href="https://github.com/wemake-services/wemake-python-styleguide">wemake-services/</a><b><a href="https://github.com/wemake-services/wemake-python-styleguide">wemake-python-styleguide</a></b> ⭐ 2,813    
   The strictest and most opinionated python linter ever!  
   🔗 [wemake-python-styleguide.rtfd.io](https://wemake-python-styleguide.rtfd.io)  

13. <a href="https://github.com/python-lsp/python-lsp-server">python-lsp/</a><b><a href="https://github.com/python-lsp/python-lsp-server">python-lsp-server</a></b> ⭐ 2,467    
   Fork of the python-language-server project, maintained by the Spyder IDE team and the community  

14. <a href="https://github.com/tconbeer/sqlfmt">tconbeer/</a><b><a href="https://github.com/tconbeer/sqlfmt">sqlfmt</a></b> ⭐ 504    
   sqlfmt formats your dbt SQL files so you don't have to  
   🔗 [sqlfmt.com](https://sqlfmt.com)  

## Crypto and Blockchain

Cryptocurrency and blockchain libraries: trading bots, API integration, Ethereum virtual machine, solidity.  

1. <a href="https://github.com/freqtrade/freqtrade">freqtrade/</a><b><a href="https://github.com/freqtrade/freqtrade">freqtrade</a></b> ⭐ 46,244    
   Free, open source crypto trading bot  
   🔗 [www.freqtrade.io](https://www.freqtrade.io)  

2. <a href="https://github.com/ccxt/ccxt">ccxt/</a><b><a href="https://github.com/ccxt/ccxt">ccxt</a></b> ⭐ 40,661    
   A cryptocurrency trading API with more than 100 exchanges in JavaScript / TypeScript / Python / C# / PHP / Go   
   🔗 [docs.ccxt.com](https://docs.ccxt.com)  

3. <a href="https://github.com/crytic/slither">crytic/</a><b><a href="https://github.com/crytic/slither">slither</a></b> ⭐ 6,100    
   Static Analyzer for Solidity and Vyper  
   🔗 [blog.trailofbits.com/2018/10/19/slither-a-solidity-static-analysis-framework](https://blog.trailofbits.com/2018/10/19/slither-a-solidity-static-analysis-framework/)  

4. <a href="https://github.com/ethereum/web3.py">ethereum/</a><b><a href="https://github.com/ethereum/web3.py">web3.py</a></b> ⭐ 5,472    
   A python interface for interacting with the Ethereum blockchain and ecosystem.  
   🔗 [web3py.readthedocs.io](http://web3py.readthedocs.io)  

5. <a href="https://github.com/ethereum/consensus-specs">ethereum/</a><b><a href="https://github.com/ethereum/consensus-specs">consensus-specs</a></b> ⭐ 3,876    
   Ethereum Proof-of-Stake Consensus Specifications  
   🔗 [ethereum.github.io/consensus-specs](https://ethereum.github.io/consensus-specs/)  

6. <a href="https://github.com/cyberpunkmetalhead/binance-volatility-trading-bot">cyberpunkmetalhead/</a><b><a href="https://github.com/cyberpunkmetalhead/binance-volatility-trading-bot">Binance-volatility-trading-bot</a></b> ⭐ 3,490    
   This is a fully functioning Binance trading bot that measures the volatility of every coin on Binance and places trades with the highest gaining coins If you like this project consider donating though the Brave browser to allow me to continuously improve the script.  

7. <a href="https://github.com/bmoscon/cryptofeed">bmoscon/</a><b><a href="https://github.com/bmoscon/cryptofeed">cryptofeed</a></b> ⭐ 2,674    
   Cryptocurrency Exchange Websocket Data Feed Handler  

8. <a href="https://github.com/binance/binance-public-data">binance/</a><b><a href="https://github.com/binance/binance-public-data">binance-public-data</a></b> ⭐ 2,193    
   Details on how to get Binance public data  

9. <a href="https://github.com/coinbase/agentkit">coinbase/</a><b><a href="https://github.com/coinbase/agentkit">agentkit</a></b> ⭐ 1,042    
   AgentKit is Coinbase Developer Platform's framework for easily enabling AI agents to take actions onchain. It is designed to be framework-agnostic, so you can use it with any AI framework, and wallet-agnostic  
   🔗 [docs.cdp.coinbase.com/agentkit/docs/welcome](https://docs.cdp.coinbase.com/agentkit/docs/welcome)  

10. <a href="https://github.com/dylanhogg/awesome-crypto">dylanhogg/</a><b><a href="https://github.com/dylanhogg/awesome-crypto">awesome-crypto</a></b> ⭐ 83    
   A list of awesome crypto and blockchain projects  
   🔗 [www.awesomecrypto.xyz](https://www.awesomecrypto.xyz/)  

## Data

General data libraries: data processing, serialisation, formats, databases, SQL, connectors, web crawlers, data generation/augmentation/checks.  

1. <a href="https://github.com/microsoft/markitdown">microsoft/</a><b><a href="https://github.com/microsoft/markitdown">markitdown</a></b> ⭐ 85,645    
   A utility for converting files to Markdown, supports: PDF, PPT, Word, Excel, Images etc  

2. <a href="https://github.com/scrapy/scrapy">scrapy/</a><b><a href="https://github.com/scrapy/scrapy">scrapy</a></b> ⭐ 59,530    
   Scrapy, a fast high-level web crawling & scraping framework for Python.  
   🔗 [scrapy.org](https://scrapy.org)  

3. <a href="https://github.com/pathwaycom/pathway">pathwaycom/</a><b><a href="https://github.com/pathwaycom/pathway">pathway</a></b> ⭐ 57,882    
   Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.  
   🔗 [pathway.com](https://pathway.com)  

4. <a href="https://github.com/ds4sd/docling">ds4sd/</a><b><a href="https://github.com/ds4sd/docling">docling</a></b> ⭐ 50,964    
   Docling parses documents and exports them to the desired format with ease and speed.  
   🔗 [docling-project.github.io/docling](https://docling-project.github.io/docling)  

5. <a href="https://github.com/apache/spark">apache/</a><b><a href="https://github.com/apache/spark">spark</a></b> ⭐ 42,688    
   Apache Spark - A unified analytics engine for large-scale data processing  
   🔗 [spark.apache.org](https://spark.apache.org/)  

6. <a href="https://github.com/mindsdb/mindsdb">mindsdb/</a><b><a href="https://github.com/mindsdb/mindsdb">mindsdb</a></b> ⭐ 38,308    
   Federated Query Engine for AI - The only MCP Server you'll ever need  
   🔗 [mindsdb.com](https://mindsdb.com)  

7. <a href="https://github.com/jaidedai/easyocr">jaidedai/</a><b><a href="https://github.com/jaidedai/easyocr">EasyOCR</a></b> ⭐ 28,818    
   Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.  
   🔗 [www.jaided.ai](https://www.jaided.ai)  

8. <a href="https://github.com/qdrant/qdrant">qdrant/</a><b><a href="https://github.com/qdrant/qdrant">qdrant</a></b> ⭐ 28,373    
   Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/  
   🔗 [qdrant.tech](https://qdrant.tech)  

9. <a href="https://github.com/getredash/redash">getredash/</a><b><a href="https://github.com/getredash/redash">redash</a></b> ⭐ 28,172    
   Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.  
   🔗 [redash.io](http://redash.io/)  

10. <a href="https://github.com/humansignal/label-studio">humansignal/</a><b><a href="https://github.com/humansignal/label-studio">label-studio</a></b> ⭐ 26,250    
   Label Studio is an open source data labeling tool. It lets you label data types like audio, text, images, videos, and time series with a simple and straightforward UI and export to various model formats.  
   🔗 [labelstud.io](https://labelstud.io)  

11. <a href="https://github.com/chroma-core/chroma">chroma-core/</a><b><a href="https://github.com/chroma-core/chroma">chroma</a></b> ⭐ 25,709    
   Open-source search and retrieval database for AI applications.  
   🔗 [www.trychroma.com](https://www.trychroma.com/)  

12. <a href="https://github.com/airbytehq/airbyte">airbytehq/</a><b><a href="https://github.com/airbytehq/airbyte">airbyte</a></b> ⭐ 20,539    
   The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.  
   🔗 [airbyte.com](https://airbyte.com)  

13. <a href="https://github.com/joke2k/faker">joke2k/</a><b><a href="https://github.com/joke2k/faker">faker</a></b> ⭐ 19,043    
   Faker is a Python package that generates fake data for you.  
   🔗 [faker.readthedocs.io](https://faker.readthedocs.io)  

14. <a href="https://github.com/avaiga/taipy">avaiga/</a><b><a href="https://github.com/avaiga/taipy">taipy</a></b> ⭐ 19,023    
   Turns Data and AI algorithms into production-ready web applications in no time.  
   🔗 [www.taipy.io](https://www.taipy.io)  

15. <a href="https://github.com/tiangolo/sqlmodel">tiangolo/</a><b><a href="https://github.com/tiangolo/sqlmodel">sqlmodel</a></b> ⭐ 17,536    
   SQL databases in Python, designed for simplicity, compatibility, and robustness.  
   🔗 [sqlmodel.tiangolo.com](https://sqlmodel.tiangolo.com/)  

16. <a href="https://github.com/binux/pyspider">binux/</a><b><a href="https://github.com/binux/pyspider">pyspider</a></b> ⭐ 17,032    
   A Powerful Spider(Web Crawler) System in Python.  
   🔗 [docs.pyspider.org](http://docs.pyspider.org/)  

17. <a href="https://github.com/apache/arrow">apache/</a><b><a href="https://github.com/apache/arrow">arrow</a></b> ⭐ 16,429    
   Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics  
   🔗 [arrow.apache.org](https://arrow.apache.org/)  

18. <a href="https://github.com/twintproject/twint">twintproject/</a><b><a href="https://github.com/twintproject/twint">twint</a></b> ⭐ 16,295    
   An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.  

19. <a href="https://github.com/weaviate/weaviate">weaviate/</a><b><a href="https://github.com/weaviate/weaviate">weaviate</a></b> ⭐ 15,466    
   Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.  
   🔗 [weaviate.io/developers/weaviate](https://weaviate.io/developers/weaviate/)  

20. <a href="https://github.com/cyclotruc/gitingest">cyclotruc/</a><b><a href="https://github.com/cyclotruc/gitingest">gitingest</a></b> ⭐ 13,754    
   Turn any Git repository into a prompt-friendly text ingest for LLMs.  
   🔗 [gitingest.com](https://gitingest.com)  

21. <a href="https://github.com/redis/redis-py">redis/</a><b><a href="https://github.com/redis/redis-py">redis-py</a></b> ⭐ 13,436    
   Redis Python client  

22. <a href="https://github.com/s0md3v/photon">s0md3v/</a><b><a href="https://github.com/s0md3v/photon">Photon</a></b> ⭐ 12,622    
   Incredibly fast crawler designed for OSINT.  

23. <a href="https://github.com/googleapis/genai-toolbox">googleapis/</a><b><a href="https://github.com/googleapis/genai-toolbox">genai-toolbox</a></b> ⭐ 12,598    
   MCP Toolbox for Databases is an open source MCP server for databases. Develop tools easier, faster, and more securely by handling connection pooling, authentication.  
   🔗 [googleapis.github.io/genai-toolbox/getting-started/introduction](https://googleapis.github.io/genai-toolbox/getting-started/introduction/)  

24. <a href="https://github.com/coleifer/peewee">coleifer/</a><b><a href="https://github.com/coleifer/peewee">peewee</a></b> ⭐ 11,909    
   a small, expressive orm -- supports postgresql, mysql, sqlite and cockroachdb  
   🔗 [docs.peewee-orm.com](http://docs.peewee-orm.com/)  

25. <a href="https://github.com/sqlalchemy/sqlalchemy">sqlalchemy/</a><b><a href="https://github.com/sqlalchemy/sqlalchemy">sqlalchemy</a></b> ⭐ 11,420    
   The Database Toolkit for Python  
   🔗 [www.sqlalchemy.org](https://www.sqlalchemy.org)  

26. <a href="https://github.com/simonw/datasette">simonw/</a><b><a href="https://github.com/simonw/datasette">datasette</a></b> ⭐ 10,709    
   An open source multi-tool for exploring and publishing data  
   🔗 [datasette.io](https://datasette.io)  

27. <a href="https://github.com/gristlabs/grist-core">gristlabs/</a><b><a href="https://github.com/gristlabs/grist-core">grist-core</a></b> ⭐ 10,465    
   Grist is the evolution of spreadsheets.  
   🔗 [www.getgrist.com](https://www.getgrist.com)  

28. <a href="https://github.com/voxel51/fiftyone">voxel51/</a><b><a href="https://github.com/voxel51/fiftyone">fiftyone</a></b> ⭐ 10,272    
   Refine high-quality datasets and visual AI models  
   🔗 [fiftyone.ai](https://fiftyone.ai)  

29. <a href="https://github.com/bigscience-workshop/petals">bigscience-workshop/</a><b><a href="https://github.com/bigscience-workshop/petals">petals</a></b> ⭐ 9,880    
   🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading  
   🔗 [petals.dev](https://petals.dev)  

30. <a href="https://github.com/yzhao062/pyod">yzhao062/</a><b><a href="https://github.com/yzhao062/pyod">pyod</a></b> ⭐ 9,685    
   A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques  
   🔗 [pyod.readthedocs.io](http://pyod.readthedocs.io)  

31. <a href="https://github.com/tobymao/sqlglot">tobymao/</a><b><a href="https://github.com/tobymao/sqlglot">sqlglot</a></b> ⭐ 8,843    
   Python SQL Parser and Transpiler  
   🔗 [sqlglot.com](https://sqlglot.com/)  

32. <a href="https://github.com/lancedb/lancedb">lancedb/</a><b><a href="https://github.com/lancedb/lancedb">lancedb</a></b> ⭐ 8,604    
   Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.  
   🔗 [lancedb.com/docs](https://lancedb.com/docs)  

33. <a href="https://github.com/kaggle/kaggle-api">kaggle/</a><b><a href="https://github.com/kaggle/kaggle-api">kaggle-api</a></b> ⭐ 7,106    
   Official Kaggle API  

34. <a href="https://github.com/alirezamika/autoscraper">alirezamika/</a><b><a href="https://github.com/alirezamika/autoscraper">autoscraper</a></b> ⭐ 7,076    
   A Smart, Automatic, Fast and Lightweight Web Scraper for Python  

35. <a href="https://github.com/ibis-project/ibis">ibis-project/</a><b><a href="https://github.com/ibis-project/ibis">ibis</a></b> ⭐ 6,360    
   Ibis is a Python library that provides a lightweight, universal interface for data wrangling. It helps Python users explore and transform data of any size, stored anywhere.  
   🔗 [ibis-project.org](https://ibis-project.org)  

36. <a href="https://github.com/madmaze/pytesseract">madmaze/</a><b><a href="https://github.com/madmaze/pytesseract">pytesseract</a></b> ⭐ 6,301    
   A Python wrapper for Google Tesseract  

37. <a href="https://github.com/vi3k6i5/flashtext">vi3k6i5/</a><b><a href="https://github.com/vi3k6i5/flashtext">flashtext</a></b> ⭐ 5,701    
   Extract Keywords from sentence or Replace keywords in sentences.  

38. <a href="https://github.com/rapidai/rapidocr">rapidai/</a><b><a href="https://github.com/rapidai/rapidocr">RapidOCR</a></b> ⭐ 5,700    
   📄 Awesome OCR multiple programing languages toolkits based on ONNXRuntime, OpenVINO, PaddlePaddle and PyTorch.  
   🔗 [rapidai.github.io/rapidocrdocs](https://rapidai.github.io/RapidOCRDocs)  

39. <a href="https://github.com/airbnb/knowledge-repo">airbnb/</a><b><a href="https://github.com/airbnb/knowledge-repo">knowledge-repo</a></b> ⭐ 5,540    
   A next-generation curated knowledge sharing platform for data scientists and other technical professions.  

40. <a href="https://github.com/superduperdb/superduperdb">superduperdb/</a><b><a href="https://github.com/superduperdb/superduperdb">superduper</a></b> ⭐ 5,251    
   Superduper: End-to-end framework for building custom AI applications and agents.  
   🔗 [superduper.io](https://superduper.io)  

41. <a href="https://github.com/adbar/trafilatura">adbar/</a><b><a href="https://github.com/adbar/trafilatura">trafilatura</a></b> ⭐ 5,219    
   Python & Command-line tool to gather text and metadata on the Web: Crawling, scraping, extraction, output as CSV, JSON, HTML, MD, TXT, XML  
   🔗 [trafilatura.readthedocs.io](https://trafilatura.readthedocs.io)  

42. <a href="https://github.com/giskard-ai/giskard">giskard-ai/</a><b><a href="https://github.com/giskard-ai/giskard">giskard-oss</a></b> ⭐ 5,083    
   🐢 Open-Source Evaluation & Testing library for LLM Agents  
   🔗 [docs.giskard.ai](https://docs.giskard.ai)  

43. <a href="https://github.com/facebookresearch/augly">facebookresearch/</a><b><a href="https://github.com/facebookresearch/augly">AugLy</a></b> ⭐ 5,072    
   A data augmentations library for audio, image, text, and video.  
   🔗 [ai.facebook.com/blog/augly-a-new-data-augmentation-library-to-help-build-more-robust-ai-models](https://ai.facebook.com/blog/augly-a-new-data-augmentation-library-to-help-build-more-robust-ai-models/)  

44. <a href="https://github.com/dlt-hub/dlt">dlt-hub/</a><b><a href="https://github.com/dlt-hub/dlt">dlt</a></b> ⭐ 4,828    
   data load tool (dlt) is an open source Python library that makes data loading easy 🛠️   
   🔗 [dlthub.com/docs](https://dlthub.com/docs)  

45. <a href="https://github.com/lk-geimfari/mimesis">lk-geimfari/</a><b><a href="https://github.com/lk-geimfari/mimesis">mimesis</a></b> ⭐ 4,773    
   Mimesis is a fast Python library for generating fake data in multiple languages.  
   🔗 [mimesis.name](https://mimesis.name)  

46. <a href="https://github.com/jazzband/tablib">jazzband/</a><b><a href="https://github.com/jazzband/tablib">tablib</a></b> ⭐ 4,753    
   Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.  
   🔗 [tablib.readthedocs.io](https://tablib.readthedocs.io/)  

47. <a href="https://github.com/amundsen-io/amundsen">amundsen-io/</a><b><a href="https://github.com/amundsen-io/amundsen">amundsen</a></b> ⭐ 4,719    
   Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.  
   🔗 [www.amundsen.io/amundsen](https://www.amundsen.io/amundsen/)  

48. <a href="https://github.com/mangiucugna/json_repair">mangiucugna/</a><b><a href="https://github.com/mangiucugna/json_repair">json_repair</a></b> ⭐ 4,417    
   A python module to repair invalid JSON from LLMs  
   🔗 [pypi.org/project/json-repair](https://pypi.org/project/json-repair/)  

49. <a href="https://github.com/rom1504/img2dataset">rom1504/</a><b><a href="https://github.com/rom1504/img2dataset">img2dataset</a></b> ⭐ 4,345    
   Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.  

50. <a href="https://github.com/mlabonne/llm-datasets">mlabonne/</a><b><a href="https://github.com/mlabonne/llm-datasets">llm-datasets</a></b> ⭐ 4,190    
   Curated list of datasets and tools for post-training.  
   🔗 [mlabonne.github.io/blog](https://mlabonne.github.io/blog)  

51. <a href="https://github.com/deepchecks/deepchecks">deepchecks/</a><b><a href="https://github.com/deepchecks/deepchecks">deepchecks</a></b> ⭐ 3,968    
   Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.  
   🔗 [docs.deepchecks.com/stable](https://docs.deepchecks.com/stable)  

52. <a href="https://github.com/sqlalchemy/alembic">sqlalchemy/</a><b><a href="https://github.com/sqlalchemy/alembic">alembic</a></b> ⭐ 3,909    
   A database migrations tool for SQLAlchemy.  

53. <a href="https://github.com/run-llama/llama-hub">run-llama/</a><b><a href="https://github.com/run-llama/llama-hub">llama-hub</a></b> ⭐ 3,483    
   A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain  
   🔗 [llamahub.ai](https://llamahub.ai/)  

54. <a href="https://github.com/sdv-dev/sdv">sdv-dev/</a><b><a href="https://github.com/sdv-dev/sdv">SDV</a></b> ⭐ 3,394    
   Synthetic data generation for tabular data  
   🔗 [docs.sdv.dev/sdv](https://docs.sdv.dev/sdv)  

55. <a href="https://github.com/docarray/docarray">docarray/</a><b><a href="https://github.com/docarray/docarray">docarray</a></b> ⭐ 3,110    
   Represent, send, store and search multimodal data  
   🔗 [docs.docarray.org](https://docs.docarray.org/)  

56. <a href="https://github.com/datafold/data-diff">datafold/</a><b><a href="https://github.com/datafold/data-diff">data-diff</a></b> ⭐ 2,992    
   Compare tables within or across databases  
   🔗 [docs.datafold.com](https://docs.datafold.com)  

57. <a href="https://github.com/huggingface/datatrove">huggingface/</a><b><a href="https://github.com/huggingface/datatrove">datatrove</a></b> ⭐ 2,848    
   DataTrove is a library to process, filter and deduplicate text data at a very large scale. It provides a set of prebuilt commonly used processing blocks with a framework to easily add custom functionality  

58. <a href="https://github.com/pynamodb/pynamodb">pynamodb/</a><b><a href="https://github.com/pynamodb/pynamodb">PynamoDB</a></b> ⭐ 2,643    
   A pythonic interface to Amazon's DynamoDB  
   🔗 [pynamodb.readthedocs.io](http://pynamodb.readthedocs.io)  

59. <a href="https://github.com/aminalaee/sqladmin">aminalaee/</a><b><a href="https://github.com/aminalaee/sqladmin">sqladmin</a></b> ⭐ 2,620    
   SQLAlchemy Admin for FastAPI and Starlette  
   🔗 [aminalaee.github.io/sqladmin](https://aminalaee.github.io/sqladmin/)  

60. <a href="https://github.com/pikepdf/pikepdf">pikepdf/</a><b><a href="https://github.com/pikepdf/pikepdf">pikepdf</a></b> ⭐ 2,616    
   A Python library for reading and writing PDF, powered by QPDF  
   🔗 [pikepdf.readthedocs.io](https://pikepdf.readthedocs.io/)  

61. <a href="https://github.com/sfu-db/connector-x">sfu-db/</a><b><a href="https://github.com/sfu-db/connector-x">connector-x</a></b> ⭐ 2,537    
   Fastest library to load data from DB to DataFrames in Rust and Python  
   🔗 [sfu-db.github.io/connector-x](https://sfu-db.github.io/connector-x)  

62. <a href="https://github.com/uqfoundation/dill">uqfoundation/</a><b><a href="https://github.com/uqfoundation/dill">dill</a></b> ⭐ 2,423    
   serialize all of Python  
   🔗 [dill.rtfd.io](http://dill.rtfd.io)  

63. <a href="https://github.com/milvus-io/bootcamp">milvus-io/</a><b><a href="https://github.com/milvus-io/bootcamp">bootcamp</a></b> ⭐ 2,360    
   Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.  
   🔗 [milvus.io](https://milvus.io)  

64. <a href="https://github.com/emirozer/fake2db">emirozer/</a><b><a href="https://github.com/emirozer/fake2db">fake2db</a></b> ⭐ 2,352    
   Generate fake but valid data filled databases for test purposes using most popular patterns(AFAIK). Current support is sqlite, mysql, postgresql, mongodb, redis, couchdb.  

65. <a href="https://github.com/accenture/ampligraph">accenture/</a><b><a href="https://github.com/accenture/ampligraph">AmpliGraph</a></b> ⭐ 2,227    
   Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org  

66. <a href="https://github.com/collerek/ormar">collerek/</a><b><a href="https://github.com/collerek/ormar">ormar</a></b> ⭐ 1,794    
   python async orm with fastapi in mind and pydantic validation  
   🔗 [collerek.github.io/ormar](https://collerek.github.io/ormar/)  

67. <a href="https://github.com/huggingface/aisheets">huggingface/</a><b><a href="https://github.com/huggingface/aisheets">aisheets</a></b> ⭐ 1,621    
   Build, enrich, and transform datasets using AI models with no code. Deploy locally or on the Hub with access to thousands of open models.  
   🔗 [huggingface.co/spaces/aisheets/sheets](https://huggingface.co/spaces/aisheets/sheets)  

68. <a href="https://github.com/d-star-ai/dsrag">d-star-ai/</a><b><a href="https://github.com/d-star-ai/dsrag">dsRAG</a></b> ⭐ 1,551    
   A retrieval engine for unstructured data. It is especially good at handling challenging queries over dense text, like financial reports, legal documents, and academic papers.  

69. <a href="https://github.com/quixio/quix-streams">quixio/</a><b><a href="https://github.com/quixio/quix-streams">quix-streams</a></b> ⭐ 1,513    
   Python Streaming DataFrames for Kafka  
   🔗 [docs.quix.io](https://docs.quix.io)  

70. <a href="https://github.com/meta-llama/synthetic-data-kit">meta-llama/</a><b><a href="https://github.com/meta-llama/synthetic-data-kit">synthetic-data-kit</a></b> ⭐ 1,474    
   Tool for generating high-quality synthetic datasets to fine-tune LLMs. Generate Reasoning Traces, QA Pairs, save them to a fine-tuning format with a simple CLI.  
   🔗 [pypi.org/project/synthetic-data-kit](https://pypi.org/project/synthetic-data-kit/)  

71. <a href="https://github.com/igorbenav/fastcrud">igorbenav/</a><b><a href="https://github.com/igorbenav/fastcrud">fastcrud</a></b> ⭐ 1,467    
   FastCRUD is a Python package for FastAPI, offering robust async CRUD operations and flexible endpoint creation utilities.  
   🔗 [benavlabs.github.io/fastcrud](https://benavlabs.github.io/fastcrud/)  

72. <a href="https://github.com/mchong6/jojogan">mchong6/</a><b><a href="https://github.com/mchong6/jojogan">JoJoGAN</a></b> ⭐ 1,439    
   Official PyTorch repo for JoJoGAN: One Shot Face Stylization  

73. <a href="https://github.com/apache/iceberg-python">apache/</a><b><a href="https://github.com/apache/iceberg-python">iceberg-python</a></b> ⭐ 984    
   PyIceberg is a Python library for programmatic access to Iceberg table metadata as well as to table data in Iceberg format.  
   🔗 [py.iceberg.apache.org](https://py.iceberg.apache.org/)  

74. <a href="https://github.com/weaviate/recipes">weaviate/</a><b><a href="https://github.com/weaviate/recipes">recipes</a></b> ⭐ 934    
   This repository shares end-to-end notebooks on how to use various Weaviate features and integrations!  

75. <a href="https://github.com/ibm/data-prep-kit">ibm/</a><b><a href="https://github.com/ibm/data-prep-kit">data-prep-kit</a></b> ⭐ 892    
   Data Prep Kit is a community project to democratize and accelerate unstructured data preparation for LLM app developers  
   🔗 [data-prep-kit.github.io/data-prep-kit](https://data-prep-kit.github.io/data-prep-kit/)  

76. <a href="https://github.com/macbre/sql-metadata">macbre/</a><b><a href="https://github.com/macbre/sql-metadata">sql-metadata</a></b> ⭐ 879    
   Uses tokenized query returned by python-sqlparse and generates query metadata  
   🔗 [pypi.python.org/pypi/sql-metadata](https://pypi.python.org/pypi/sql-metadata)  

77. <a href="https://github.com/stackloklabs/promptwright">stackloklabs/</a><b><a href="https://github.com/stackloklabs/promptwright">deepfabric</a></b> ⭐ 824    
   Promptwright is a Python library designed for generating large synthetic datasets using LLMs  
   🔗 [docs.deepfabric.dev](http://docs.deepfabric.dev)  

78. <a href="https://github.com/nvidia-nemo/datadesigner">nvidia-nemo/</a><b><a href="https://github.com/nvidia-nemo/datadesigner">DataDesigner</a></b> ⭐ 653    
   Create synthetic datasets that go beyond simple LLM prompting. Covers diverse statistical distributions, meaningful correlations between fields, or validated high-quality outputs.  
   🔗 [nvidia-nemo.github.io/datadesigner](https://nvidia-nemo.github.io/DataDesigner/)  

79. <a href="https://github.com/koaning/bulk">koaning/</a><b><a href="https://github.com/koaning/bulk">bulk</a></b> ⭐ 598    
   Bulk is a quick UI developer tool to apply some bulk labels.  

80. <a href="https://github.com/titan-systems/titan">titan-systems/</a><b><a href="https://github.com/titan-systems/titan">titan</a></b> ⭐ 478    
   Snowflake infrastructure-as-code. Provision environments, automate deploys, CI/CD. Manage RBAC, users, roles, and data access. Declarative Python Resource API.  

81. <a href="https://github.com/pmgraham/datagrunt">pmgraham/</a><b><a href="https://github.com/pmgraham/datagrunt">datagrunt</a></b> ⭐ 10    
   Datagrunt is a Python library designed to simplify the way you work with CSV files. It provides a streamlined approach to reading, processing, and transforming your data into various formats, making data manipulation efficient and intuitive.  
   🔗 [www.datagrunt.io](https://www.datagrunt.io)  

## Debugging

Debugging and tracing tools.  

1. <a href="https://github.com/cool-rr/pysnooper">cool-rr/</a><b><a href="https://github.com/cool-rr/pysnooper">PySnooper</a></b> ⭐ 16,596    
   Never use print for debugging again  

2. <a href="https://github.com/gruns/icecream">gruns/</a><b><a href="https://github.com/gruns/icecream">icecream</a></b> ⭐ 10,003    
   🍦 Never use print() to debug again.  

3. <a href="https://github.com/shobrook/rebound">shobrook/</a><b><a href="https://github.com/shobrook/rebound">rebound</a></b> ⭐ 4,135    
   Instant Stack Overflow results whenever an exception is thrown  

## Diffusion Text to Image

Text-to-image diffusion model libraries, tools and apps for generating images from natural language.  

1. <a href="https://github.com/automatic1111/stable-diffusion-webui">automatic1111/</a><b><a href="https://github.com/automatic1111/stable-diffusion-webui">stable-diffusion-webui</a></b> ⭐ 160,173    
   Stable Diffusion web UI  

2. <a href="https://github.com/comfyanonymous/comfyui">comfyanonymous/</a><b><a href="https://github.com/comfyanonymous/comfyui">ComfyUI</a></b> ⭐ 101,251    
   The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.  
   🔗 [www.comfy.org](https://www.comfy.org/)  

3. <a href="https://github.com/compvis/stable-diffusion">compvis/</a><b><a href="https://github.com/compvis/stable-diffusion">stable-diffusion</a></b> ⭐ 72,246    
   A latent text-to-image diffusion model  
   🔗 [ommer-lab.com/research/latent-diffusion-models](https://ommer-lab.com/research/latent-diffusion-models/)  

4. <a href="https://github.com/lllyasviel/controlnet">lllyasviel/</a><b><a href="https://github.com/lllyasviel/controlnet">ControlNet</a></b> ⭐ 33,589    
   Let us control diffusion models!  

5. <a href="https://github.com/huggingface/diffusers">huggingface/</a><b><a href="https://github.com/huggingface/diffusers">diffusers</a></b> ⭐ 32,569    
   🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.  
   🔗 [huggingface.co/docs/diffusers](https://huggingface.co/docs/diffusers)  

6. <a href="https://github.com/stability-ai/generative-models">stability-ai/</a><b><a href="https://github.com/stability-ai/generative-models">generative-models</a></b> ⭐ 26,844    
   Generative Models by Stability AI  

7. <a href="https://github.com/invoke-ai/invokeai">invoke-ai/</a><b><a href="https://github.com/invoke-ai/invokeai">InvokeAI</a></b> ⭐ 26,601    
   Invoke is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, and serves as the foundation for multiple commercial products.  
   🔗 [invoke-ai.github.io/invokeai](https://invoke-ai.github.io/InvokeAI/)  

8. <a href="https://github.com/openbmb/minicpm-v">openbmb/</a><b><a href="https://github.com/openbmb/minicpm-v">MiniCPM-V</a></b> ⭐ 22,680    
   MiniCPM-V 4.5: A GPT-4o Level MLLM for Single Image, Multi Image and High-FPS Video Understanding on Your Phone  

9. <a href="https://github.com/apple/ml-stable-diffusion">apple/</a><b><a href="https://github.com/apple/ml-stable-diffusion">ml-stable-diffusion</a></b> ⭐ 17,782    
   Stable Diffusion with Core ML on Apple Silicon  

10. <a href="https://github.com/borisdayma/dalle-mini">borisdayma/</a><b><a href="https://github.com/borisdayma/dalle-mini">dalle-mini</a></b> ⭐ 14,813    
   DALL·E Mini - Generate images from a text prompt  
   🔗 [www.craiyon.com](https://www.craiyon.com)  

11. <a href="https://github.com/compvis/latent-diffusion">compvis/</a><b><a href="https://github.com/compvis/latent-diffusion">latent-diffusion</a></b> ⭐ 13,801    
   High-Resolution Image Synthesis with Latent Diffusion Models  

12. <a href="https://github.com/divamgupta/diffusionbee-stable-diffusion-ui">divamgupta/</a><b><a href="https://github.com/divamgupta/diffusionbee-stable-diffusion-ui">diffusionbee-stable-diffusion-ui</a></b> ⭐ 13,497    
   Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.  
   🔗 [diffusionbee.com](https://diffusionbee.com)  

13. <a href="https://github.com/facebookresearch/dinov2">facebookresearch/</a><b><a href="https://github.com/facebookresearch/dinov2">dinov2</a></b> ⭐ 12,286    
   PyTorch code and models for the DINOv2 self-supervised learning method.  

14. <a href="https://github.com/instantid/instantid">instantid/</a><b><a href="https://github.com/instantid/instantid">InstantID</a></b> ⭐ 11,900    
   InstantID: Zero-shot Identity-Preserving Generation in Seconds 🔥  
   🔗 [instantid.github.io](https://instantid.github.io/)  

15. <a href="https://github.com/lucidrains/dalle2-pytorch">lucidrains/</a><b><a href="https://github.com/lucidrains/dalle2-pytorch">DALLE2-pytorch</a></b> ⭐ 11,337    
   Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network,  in Pytorch  

16. <a href="https://github.com/opengvlab/internvl">opengvlab/</a><b><a href="https://github.com/opengvlab/internvl">InternVL</a></b> ⭐ 9,736    
   [CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o.  接近GPT-4o表现的开源多模态对话模型  
   🔗 [internvl.readthedocs.io/en/latest](https://internvl.readthedocs.io/en/latest/)  

17. <a href="https://github.com/idea-research/groundingdino">idea-research/</a><b><a href="https://github.com/idea-research/groundingdino">GroundingDINO</a></b> ⭐ 9,626    
   [ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"  
   🔗 [arxiv.org/abs/2303.05499](https://arxiv.org/abs/2303.05499)  

18. <a href="https://github.com/ashawkey/stable-dreamfusion">ashawkey/</a><b><a href="https://github.com/ashawkey/stable-dreamfusion">stable-dreamfusion</a></b> ⭐ 8,795    
   Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.  

19. <a href="https://github.com/carson-katri/dream-textures">carson-katri/</a><b><a href="https://github.com/carson-katri/dream-textures">dream-textures</a></b> ⭐ 8,108    
   Stable Diffusion built-in to Blender  

20. <a href="https://github.com/xavierxiao/dreambooth-stable-diffusion">xavierxiao/</a><b><a href="https://github.com/xavierxiao/dreambooth-stable-diffusion">Dreambooth-Stable-Diffusion</a></b> ⭐ 7,754    
   Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion  

21. <a href="https://github.com/timothybrooks/instruct-pix2pix">timothybrooks/</a><b><a href="https://github.com/timothybrooks/instruct-pix2pix">instruct-pix2pix</a></b> ⭐ 6,869    
   PyTorch implementation of InstructPix2Pix, an instruction-based image editing model, based on the original CompVis/stable_diffusion repo.  

22. <a href="https://github.com/openai/consistency_models">openai/</a><b><a href="https://github.com/openai/consistency_models">consistency_models</a></b> ⭐ 6,469    
   Official repo for consistency models.  

23. <a href="https://github.com/salesforce/blip">salesforce/</a><b><a href="https://github.com/salesforce/blip">BLIP</a></b> ⭐ 5,643    
   PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation    

24. <a href="https://github.com/nateraw/stable-diffusion-videos">nateraw/</a><b><a href="https://github.com/nateraw/stable-diffusion-videos">stable-diffusion-videos</a></b> ⭐ 4,654    
   Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts  

25. <a href="https://github.com/lkwq007/stablediffusion-infinity">lkwq007/</a><b><a href="https://github.com/lkwq007/stablediffusion-infinity">stablediffusion-infinity</a></b> ⭐ 3,888    
   Outpainting with Stable Diffusion on an infinite canvas  

26. <a href="https://github.com/jina-ai/discoart">jina-ai/</a><b><a href="https://github.com/jina-ai/discoart">discoart</a></b> ⭐ 3,834    
   🪩 Create Disco Diffusion artworks in one line  

27. <a href="https://github.com/openai/improved-diffusion">openai/</a><b><a href="https://github.com/openai/improved-diffusion">improved-diffusion</a></b> ⭐ 3,783    
   Release for Improved Denoising Diffusion Probabilistic Models  

28. <a href="https://github.com/open-compass/vlmevalkit">open-compass/</a><b><a href="https://github.com/open-compass/vlmevalkit">VLMEvalKit</a></b> ⭐ 3,741    
   Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks  
   🔗 [huggingface.co/spaces/opencompass/open_vlm_leaderboard](https://huggingface.co/spaces/opencompass/open_vlm_leaderboard)  

29. <a href="https://github.com/mlc-ai/web-stable-diffusion">mlc-ai/</a><b><a href="https://github.com/mlc-ai/web-stable-diffusion">web-stable-diffusion</a></b> ⭐ 3,712    
   Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.   
   🔗 [mlc.ai/web-stable-diffusion](https://mlc.ai/web-stable-diffusion)  

30. <a href="https://github.com/openai/glide-text2im">openai/</a><b><a href="https://github.com/openai/glide-text2im">glide-text2im</a></b> ⭐ 3,682    
   GLIDE: a diffusion-based text-conditional image synthesis model  

31. <a href="https://github.com/google-research/big_vision">google-research/</a><b><a href="https://github.com/google-research/big_vision">big_vision</a></b> ⭐ 3,333    
   Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.  

32. <a href="https://github.com/saharmor/dalle-playground">saharmor/</a><b><a href="https://github.com/saharmor/dalle-playground">dalle-playground</a></b> ⭐ 2,749    
   A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini)  

33. <a href="https://github.com/stability-ai/stability-sdk">stability-ai/</a><b><a href="https://github.com/stability-ai/stability-sdk">stability-sdk</a></b> ⭐ 2,434    
   SDK for interacting with stability.ai APIs (e.g. stable diffusion inference)  
   🔗 [platform.stability.ai](https://platform.stability.ai/)  

34. <a href="https://github.com/thudm/cogvlm2">thudm/</a><b><a href="https://github.com/thudm/cogvlm2">CogVLM2</a></b> ⭐ 2,427    
   GPT4V-level open-source multi-modal model based on Llama3-8B  

35. <a href="https://github.com/coyote-a/ultimate-upscale-for-automatic1111">coyote-a/</a><b><a href="https://github.com/coyote-a/ultimate-upscale-for-automatic1111">ultimate-upscale-for-automatic1111</a></b> ⭐ 1,765    
   Ultimate SD Upscale extension for AUTOMATIC1111 Stable Diffusion web UI  

36. <a href="https://github.com/divamgupta/stable-diffusion-tensorflow">divamgupta/</a><b><a href="https://github.com/divamgupta/stable-diffusion-tensorflow">stable-diffusion-tensorflow</a></b> ⭐ 1,613    
   Stable Diffusion in TensorFlow / Keras  

37. <a href="https://github.com/nvlabs/prismer">nvlabs/</a><b><a href="https://github.com/nvlabs/prismer">prismer</a></b> ⭐ 1,309    
   The implementation of "Prismer: A Vision-Language Model with Multi-Task Experts".  
   🔗 [shikun.io/projects/prismer](https://shikun.io/projects/prismer)  

38. <a href="https://github.com/chenyangqiqi/fatezero">chenyangqiqi/</a><b><a href="https://github.com/chenyangqiqi/fatezero">FateZero</a></b> ⭐ 1,159    
   [ICCV 2023 Oral] "FateZero: Fusing Attentions for Zero-shot Text-based Video Editing"  
   🔗 [fate-zero-edit.github.io](http://fate-zero-edit.github.io/)  

39. <a href="https://github.com/tanelp/tiny-diffusion">tanelp/</a><b><a href="https://github.com/tanelp/tiny-diffusion">tiny-diffusion</a></b> ⭐ 978    
   A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.  

40. <a href="https://github.com/gojasper/flash-diffusion">gojasper/</a><b><a href="https://github.com/gojasper/flash-diffusion">flash-diffusion</a></b> ⭐ 650    
   ⚡ Flash Diffusion ⚡: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation (AAAI 2025 Oral)  
   🔗 [gojasper.github.io/flash-diffusion-project](https://gojasper.github.io/flash-diffusion-project/)  

## Finance

Financial and quantitative libraries: investment research tools, market data, algorithmic trading, backtesting, financial derivatives.  

1. <a href="https://github.com/openbb-finance/openbbterminal">openbb-finance/</a><b><a href="https://github.com/openbb-finance/openbbterminal">OpenBB</a></b> ⭐ 59,275    
   Financial data platform for analysts, quants and AI agents.  
   🔗 [openbb.co](https://openbb.co)  

2. <a href="https://github.com/virattt/ai-hedge-fund">virattt/</a><b><a href="https://github.com/virattt/ai-hedge-fund">ai-hedge-fund</a></b> ⭐ 45,480    
   AI-powered hedge fund. The goal of this project is to explore the use of AI to make trading decisions.  

3. <a href="https://github.com/microsoft/qlib">microsoft/</a><b><a href="https://github.com/microsoft/qlib">qlib</a></b> ⭐ 35,948    
   Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD...  
   🔗 [qlib.readthedocs.io/en/latest](https://qlib.readthedocs.io/en/latest/)  

4. <a href="https://github.com/ranaroussi/yfinance">ranaroussi/</a><b><a href="https://github.com/ranaroussi/yfinance">yfinance</a></b> ⭐ 20,973    
   Download market data from Yahoo! Finance's API  
   🔗 [ranaroussi.github.io/yfinance](https://ranaroussi.github.io/yfinance)  

5. <a href="https://github.com/mementum/backtrader">mementum/</a><b><a href="https://github.com/mementum/backtrader">backtrader</a></b> ⭐ 20,206    
   Python Backtesting library for trading strategies  
   🔗 [www.backtrader.com](https://www.backtrader.com)  

6. <a href="https://github.com/quantopian/zipline">quantopian/</a><b><a href="https://github.com/quantopian/zipline">zipline</a></b> ⭐ 19,357    
   Zipline, a Pythonic Algorithmic Trading Library  
   🔗 [www.zipline.io](https://www.zipline.io)  

7. <a href="https://github.com/ai4finance-foundation/fingpt">ai4finance-foundation/</a><b><a href="https://github.com/ai4finance-foundation/fingpt">FinGPT</a></b> ⭐ 18,450    
   FinGPT: Open-Source Financial Large Language Models!  Revolutionize 🔥    We release the trained model on HuggingFace.  
   🔗 [ai4finance.org](https://ai4finance.org)  

8. <a href="https://github.com/quantconnect/lean">quantconnect/</a><b><a href="https://github.com/quantconnect/lean">Lean</a></b> ⭐ 16,011    
   Lean Algorithmic Trading Engine by QuantConnect (Python, C#)  
   🔗 [lean.io](https://lean.io)  

9. <a href="https://github.com/ai4finance-foundation/finrl">ai4finance-foundation/</a><b><a href="https://github.com/ai4finance-foundation/finrl">FinRL</a></b> ⭐ 13,790    
   FinRL®:  Financial Reinforcement Learning. 🔥  
   🔗 [ai4finance.org](https://ai4finance.org)  

10. <a href="https://github.com/ta-lib/ta-lib-python">ta-lib/</a><b><a href="https://github.com/ta-lib/ta-lib-python">ta-lib-python</a></b> ⭐ 11,640    
   Python wrapper for TA-Lib (http://ta-lib.org/).  
   🔗 [ta-lib.github.io/ta-lib-python](http://ta-lib.github.io/ta-lib-python)  

11. <a href="https://github.com/shiyu-coder/kronos">shiyu-coder/</a><b><a href="https://github.com/shiyu-coder/kronos">Kronos</a></b> ⭐ 10,153    
   Open-source foundation model for financial candlesticks, trained on data from over 45 global exchanges  

12. <a href="https://github.com/goldmansachs/gs-quant">goldmansachs/</a><b><a href="https://github.com/goldmansachs/gs-quant">gs-quant</a></b> ⭐ 9,845    
   Python toolkit for quantitative finance  
   🔗 [developer.gs.com/discover/products/gs-quant](https://developer.gs.com/discover/products/gs-quant/)  

13. <a href="https://github.com/kernc/backtesting.py">kernc/</a><b><a href="https://github.com/kernc/backtesting.py">backtesting.py</a></b> ⭐ 7,825    
   🔎 📈 🐍 💰  Backtest trading strategies in Python.  
   🔗 [kernc.github.io/backtesting.py](https://kernc.github.io/backtesting.py/)  

14. <a href="https://github.com/ranaroussi/quantstats">ranaroussi/</a><b><a href="https://github.com/ranaroussi/quantstats">quantstats</a></b> ⭐ 6,619    
   Portfolio analytics for quants, written in Python  

15. <a href="https://github.com/polakowo/vectorbt">polakowo/</a><b><a href="https://github.com/polakowo/vectorbt">vectorbt</a></b> ⭐ 6,524    
   Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.   
   🔗 [vectorbt.dev](https://vectorbt.dev)  

16. <a href="https://github.com/quantopian/pyfolio">quantopian/</a><b><a href="https://github.com/quantopian/pyfolio">pyfolio</a></b> ⭐ 6,207    
   Portfolio and risk analytics in Python  
   🔗 [quantopian.github.io/pyfolio](https://quantopian.github.io/pyfolio)  

17. <a href="https://github.com/borisbanushev/stockpredictionai">borisbanushev/</a><b><a href="https://github.com/borisbanushev/stockpredictionai">stockpredictionai</a></b> ⭐ 5,400    
          In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Networ...  

18. <a href="https://github.com/google/tf-quant-finance">google/</a><b><a href="https://github.com/google/tf-quant-finance">tf-quant-finance</a></b> ⭐ 5,194    
   High-performance TensorFlow library for quantitative finance.  

19. <a href="https://github.com/gbeced/pyalgotrade">gbeced/</a><b><a href="https://github.com/gbeced/pyalgotrade">pyalgotrade</a></b> ⭐ 4,635    
   Python Algorithmic Trading Library  
   🔗 [gbeced.github.io/pyalgotrade](http://gbeced.github.io/pyalgotrade/)  

20. <a href="https://github.com/matplotlib/mplfinance">matplotlib/</a><b><a href="https://github.com/matplotlib/mplfinance">mplfinance</a></b> ⭐ 4,272    
   Financial Markets Data Visualization using Matplotlib  
   🔗 [pypi.org/project/mplfinance](https://pypi.org/project/mplfinance/)  

21. <a href="https://github.com/quantopian/alphalens">quantopian/</a><b><a href="https://github.com/quantopian/alphalens">alphalens</a></b> ⭐ 4,103    
   Performance analysis of predictive (alpha) stock factors  
   🔗 [quantopian.github.io/alphalens](http://quantopian.github.io/alphalens)  

22. <a href="https://github.com/zvtvz/zvt">zvtvz/</a><b><a href="https://github.com/zvtvz/zvt">zvt</a></b> ⭐ 3,913    
   modular quant framework.  
   🔗 [zvt.readthedocs.io/en/latest](https://zvt.readthedocs.io/en/latest/)  

23. <a href="https://github.com/cuemacro/finmarketpy">cuemacro/</a><b><a href="https://github.com/cuemacro/finmarketpy">finmarketpy</a></b> ⭐ 3,701    
   Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)  
   🔗 [www.cuemacro.com](http://www.cuemacro.com)  

24. <a href="https://github.com/domokane/financepy">domokane/</a><b><a href="https://github.com/domokane/financepy">FinancePy</a></b> ⭐ 2,755    
   A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.   

25. <a href="https://github.com/blankly-finance/blankly">blankly-finance/</a><b><a href="https://github.com/blankly-finance/blankly">blankly</a></b> ⭐ 2,400    
   🚀 💸  Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.  
   🔗 [package.blankly.finance](https://package.blankly.finance)  

26. <a href="https://github.com/cuemacro/findatapy">cuemacro/</a><b><a href="https://github.com/cuemacro/findatapy">findatapy</a></b> ⭐ 1,968    
   Python library to download market data via Bloomberg, Eikon, Quandl, Yahoo etc.  

27. <a href="https://github.com/ivebotunac/primoagent">ivebotunac/</a><b><a href="https://github.com/ivebotunac/primoagent">PrimoAgent</a></b> ⭐ 268    
   PrimoAgent is an multi agent AI stock analysis system built on LangGraph architecture that orchestrates four specialized agents to provide comprehensive daily trading insights and next-day price predictions  
   🔗 [primoinvesting.com](https://primoinvesting.com/)  

## Game Development

Game development tools, engines and libraries.  

1. <a href="https://github.com/kitao/pyxel">kitao/</a><b><a href="https://github.com/kitao/pyxel">pyxel</a></b> ⭐ 16,976    
   A retro game engine for Python  

2. <a href="https://github.com/microsoft/trellis">microsoft/</a><b><a href="https://github.com/microsoft/trellis">TRELLIS</a></b> ⭐ 11,630    
   A large 3D asset generation model. It takes in text or image prompts and generates high-quality 3D assets in various formats, such as Radiance Fields, 3D Gaussians, and meshes.  
   🔗 [trellis3d.github.io](https://trellis3d.github.io)  

3. <a href="https://github.com/pygame/pygame">pygame/</a><b><a href="https://github.com/pygame/pygame">pygame</a></b> ⭐ 8,579    
   🐍🎮 pygame (the library) is a Free and Open Source python programming language library for making multimedia applications like games built on top of the excellent SDL library. C, Python, Native, OpenGL.  
   🔗 [www.pygame.org](https://www.pygame.org)  

4. <a href="https://github.com/panda3d/panda3d">panda3d/</a><b><a href="https://github.com/panda3d/panda3d">panda3d</a></b> ⭐ 5,025    
   Powerful, mature open-source cross-platform game engine for Python and C++, developed by Disney and CMU  
   🔗 [www.panda3d.org](https://www.panda3d.org/)  

5. <a href="https://github.com/pyglet/pyglet">pyglet/</a><b><a href="https://github.com/pyglet/pyglet">pyglet</a></b> ⭐ 2,148    
   pyglet is a cross-platform windowing and multimedia library for Python, for developing games and other visually rich applications.  
   🔗 [pyglet.org](http://pyglet.org)  

6. <a href="https://github.com/pythonarcade/arcade">pythonarcade/</a><b><a href="https://github.com/pythonarcade/arcade">arcade</a></b> ⭐ 1,959    
   Easy to use Python library for creating 2D arcade games.  
   🔗 [arcade.academy](http://arcade.academy)  

## GIS

Geospatial libraries: raster and vector data formats, interactive mapping and visualisation, computing frameworks for processing images, projections.  

1. <a href="https://github.com/domlysz/blendergis">domlysz/</a><b><a href="https://github.com/domlysz/blendergis">BlenderGIS</a></b> ⭐ 8,737    
   Blender addons to make the bridge between Blender and geographic data  

2. <a href="https://github.com/python-visualization/folium">python-visualization/</a><b><a href="https://github.com/python-visualization/folium">folium</a></b> ⭐ 7,308    
   Python Data. Leaflet.js Maps.   
   🔗 [python-visualization.github.io/folium](https://python-visualization.github.io/folium/)  

3. <a href="https://github.com/originalankur/maptoposter">originalankur/</a><b><a href="https://github.com/originalankur/maptoposter">maptoposter</a></b> ⭐ 7,190    
   Transform your favorite cities into beautiful, minimalist designs. MapToPoster lets you create and export visually striking map posters with code.  

4. <a href="https://github.com/osgeo/gdal">osgeo/</a><b><a href="https://github.com/osgeo/gdal">gdal</a></b> ⭐ 5,729    
   GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.  
   🔗 [gdal.org](https://gdal.org)  

5. <a href="https://github.com/gboeing/osmnx">gboeing/</a><b><a href="https://github.com/gboeing/osmnx">osmnx</a></b> ⭐ 5,549    
   Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.  
   🔗 [osmnx.readthedocs.io](https://osmnx.readthedocs.io)  

6. <a href="https://github.com/geopandas/geopandas">geopandas/</a><b><a href="https://github.com/geopandas/geopandas">geopandas</a></b> ⭐ 5,027    
   Python tools for geographic data  
   🔗 [geopandas.org](http://geopandas.org/)  

7. <a href="https://github.com/shapely/shapely">shapely/</a><b><a href="https://github.com/shapely/shapely">shapely</a></b> ⭐ 4,358    
   Manipulation and analysis of geometric objects  
   🔗 [shapely.readthedocs.io/en/stable](https://shapely.readthedocs.io/en/stable/)  

8. <a href="https://github.com/opengeos/segment-geospatial">opengeos/</a><b><a href="https://github.com/opengeos/segment-geospatial">segment-geospatial</a></b> ⭐ 3,863    
   A Python package for segmenting geospatial data with the Segment Anything Model (SAM)  
   🔗 [samgeo.gishub.org](https://samgeo.gishub.org)  

9. <a href="https://github.com/giswqs/geemap">giswqs/</a><b><a href="https://github.com/giswqs/geemap">geemap</a></b> ⭐ 3,856    
   A Python package for interactive geospatial analysis and visualization with Google Earth Engine.  
   🔗 [geemap.org](https://geemap.org)  

10. <a href="https://github.com/microsoft/torchgeo">microsoft/</a><b><a href="https://github.com/microsoft/torchgeo">torchgeo</a></b> ⭐ 3,841    
   TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data  
   🔗 [www.osgeo.org/projects/torchgeo](https://www.osgeo.org/projects/torchgeo/)  

11. <a href="https://github.com/opengeos/leafmap">opengeos/</a><b><a href="https://github.com/opengeos/leafmap">leafmap</a></b> ⭐ 3,656    
   A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment  
   🔗 [leafmap.org](https://leafmap.org)  

12. <a href="https://github.com/holoviz/datashader">holoviz/</a><b><a href="https://github.com/holoviz/datashader">datashader</a></b> ⭐ 3,501    
   Quickly and accurately render even the largest data.  
   🔗 [datashader.org](http://datashader.org)  

13. <a href="https://github.com/rasterio/rasterio">rasterio/</a><b><a href="https://github.com/rasterio/rasterio">rasterio</a></b> ⭐ 2,474    
   Rasterio reads and writes geospatial raster datasets  
   🔗 [rasterio.readthedocs.io](https://rasterio.readthedocs.io/)  

14. <a href="https://github.com/plant99/felicette">plant99/</a><b><a href="https://github.com/plant99/felicette">felicette</a></b> ⭐ 1,831    
   Satellite imagery for dummies.  

15. <a href="https://github.com/microsoft/globalmlbuildingfootprints">microsoft/</a><b><a href="https://github.com/microsoft/globalmlbuildingfootprints">GlobalMLBuildingFootprints</a></b> ⭐ 1,772    
   Worldwide building footprints derived from satellite imagery   

16. <a href="https://github.com/pysal/pysal">pysal/</a><b><a href="https://github.com/pysal/pysal">pysal</a></b> ⭐ 1,458    
   PySAL: Python Spatial Analysis Library Meta-Package  
   🔗 [pysal.org/pysal](http://pysal.org/pysal)  

17. <a href="https://github.com/residentmario/geoplot">residentmario/</a><b><a href="https://github.com/residentmario/geoplot">geoplot</a></b> ⭐ 1,190    
   High-level geospatial data visualization library for Python.  
   🔗 [residentmario.github.io/geoplot/index.html](https://residentmario.github.io/geoplot/index.html)  

## Graph

Graphs and network libraries: network analysis, graph machine learning, visualisation.  

1. <a href="https://github.com/networkx/networkx">networkx/</a><b><a href="https://github.com/networkx/networkx">networkx</a></b> ⭐ 16,546    
   Network Analysis in Python  
   🔗 [networkx.org](https://networkx.org)  

2. <a href="https://github.com/stellargraph/stellargraph">stellargraph/</a><b><a href="https://github.com/stellargraph/stellargraph">stellargraph</a></b> ⭐ 3,044    
   StellarGraph - Machine Learning on Graphs  
   🔗 [stellargraph.readthedocs.io](https://stellargraph.readthedocs.io/)  

3. <a href="https://github.com/microsoft/graspologic">microsoft/</a><b><a href="https://github.com/microsoft/graspologic">graspologic</a></b> ⭐ 961    
   graspologic is a package for graph statistical algorithms  
   🔗 [graspologic-org.github.io/graspologic](https://graspologic-org.github.io/graspologic/)  

4. <a href="https://github.com/dylanhogg/llmgraph">dylanhogg/</a><b><a href="https://github.com/dylanhogg/llmgraph">llmgraph</a></b> ⭐ 496    
   Create knowledge graphs with LLMs  

## GUI

Graphical user interface libraries and toolkits.  

1. <a href="https://github.com/hoffstadt/dearpygui">hoffstadt/</a><b><a href="https://github.com/hoffstadt/dearpygui">DearPyGui</a></b> ⭐ 15,133    
   Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies  
   🔗 [dearpygui.readthedocs.io/en/latest](https://dearpygui.readthedocs.io/en/latest/)  

2. <a href="https://github.com/pysimplegui/pysimplegui">pysimplegui/</a><b><a href="https://github.com/pysimplegui/pysimplegui">PySimpleGUI</a></b> ⭐ 13,713    
   Python GUIs for Humans! PySimpleGUI is the top-rated Python application development environment. Launched in 2018 and actively developed, maintained, and supported in 2024. Transforms tkinter, Qt, WxPython, and Remi into a simple, intuitive, and fun experience for both hobbyists and expert users.  
   🔗 [www.pysimplegui.com](https://www.PySimpleGUI.com)  

3. <a href="https://github.com/parthjadhav/tkinter-designer">parthjadhav/</a><b><a href="https://github.com/parthjadhav/tkinter-designer">Tkinter-Designer</a></b> ⭐ 10,170    
   An easy and fast way to create a Python GUI 🐍  

4. <a href="https://github.com/samuelcolvin/fastui">samuelcolvin/</a><b><a href="https://github.com/samuelcolvin/fastui">FastUI</a></b> ⭐ 8,947    
   FastUI is a new way to build web application user interfaces defined by declarative Python code.  
   🔗 [fastui-demo.onrender.com](https://fastui-demo.onrender.com)  

5. <a href="https://github.com/r0x0r/pywebview">r0x0r/</a><b><a href="https://github.com/r0x0r/pywebview">pywebview</a></b> ⭐ 5,687    
   Build GUI for your Python program with JavaScript, HTML, and CSS  
   🔗 [pywebview.flowrl.com](https://pywebview.flowrl.com)  

6. <a href="https://github.com/beeware/toga">beeware/</a><b><a href="https://github.com/beeware/toga">toga</a></b> ⭐ 5,291    
   A Python native, OS native GUI toolkit.  
   🔗 [toga.readthedocs.io/en/latest](https://toga.readthedocs.io/en/latest/)  

## Jupyter

Jupyter and JupyterLab and Notebook tools, libraries and plugins.  

1. <a href="https://github.com/marimo-team/marimo">marimo-team/</a><b><a href="https://github.com/marimo-team/marimo">marimo</a></b> ⭐ 18,645    
   A reactive Python notebook: run a cell or interact with a UI element, and marimo automatically runs dependent cells, keeping code and outputs consistent. marimo notebooks are stored as pure Python, executable as scripts, and deployable as apps.  
   🔗 [marimo.io](https://marimo.io)  

2. <a href="https://github.com/jupyterlab/jupyterlab">jupyterlab/</a><b><a href="https://github.com/jupyterlab/jupyterlab">jupyterlab</a></b> ⭐ 14,996    
   JupyterLab computational environment.  
   🔗 [jupyterlab.readthedocs.io](https://jupyterlab.readthedocs.io/)  

3. <a href="https://github.com/jupyter/notebook">jupyter/</a><b><a href="https://github.com/jupyter/notebook">notebook</a></b> ⭐ 12,908    
   Jupyter Interactive Notebook  
   🔗 [jupyter-notebook.readthedocs.io](https://jupyter-notebook.readthedocs.io/)  

4. <a href="https://github.com/garrettj403/scienceplots">garrettj403/</a><b><a href="https://github.com/garrettj403/scienceplots">SciencePlots</a></b> ⭐ 8,518    
   Matplotlib styles for scientific plotting  

5. <a href="https://github.com/mwouts/jupytext">mwouts/</a><b><a href="https://github.com/mwouts/jupytext">jupytext</a></b> ⭐ 7,096    
   Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts  
   🔗 [jupytext.readthedocs.io](https://jupytext.readthedocs.io)  

6. <a href="https://github.com/nteract/papermill">nteract/</a><b><a href="https://github.com/nteract/papermill">papermill</a></b> ⭐ 6,358    
   📚 Parameterize, execute, and analyze notebooks  
   🔗 [papermill.readthedocs.io/en/latest](http://papermill.readthedocs.io/en/latest/)  

7. <a href="https://github.com/voila-dashboards/voila">voila-dashboards/</a><b><a href="https://github.com/voila-dashboards/voila">voila</a></b> ⭐ 5,886    
   Voilà turns Jupyter notebooks into standalone web applications  
   🔗 [voila.readthedocs.io](https://voila.readthedocs.io)  

8. <a href="https://github.com/connorferster/handcalcs">connorferster/</a><b><a href="https://github.com/connorferster/handcalcs">handcalcs</a></b> ⭐ 5,801    
   Python library for converting Python calculations into rendered latex.  

9. <a href="https://github.com/jupyterlite/jupyterlite">jupyterlite/</a><b><a href="https://github.com/jupyterlite/jupyterlite">jupyterlite</a></b> ⭐ 4,738    
   Wasm powered Jupyter running in the browser 💡  
   🔗 [jupyterlite.rtfd.io/en/stable/try/lab](https://jupyterlite.rtfd.io/en/stable/try/lab)  

10. <a href="https://github.com/executablebooks/jupyter-book">executablebooks/</a><b><a href="https://github.com/executablebooks/jupyter-book">jupyter-book</a></b> ⭐ 4,207    
   Create beautiful, publication-quality books and documents from computational content.  
   🔗 [jupyterbook.org](https://jupyterbook.org)  

11. <a href="https://github.com/jupyterlab/jupyterlab-desktop">jupyterlab/</a><b><a href="https://github.com/jupyterlab/jupyterlab-desktop">jupyterlab-desktop</a></b> ⭐ 4,180    
   JupyterLab desktop application, based on Electron.  

12. <a href="https://github.com/jupyterlab/jupyter-ai">jupyterlab/</a><b><a href="https://github.com/jupyterlab/jupyter-ai">jupyter-ai</a></b> ⭐ 4,094    
   A generative AI extension for JupyterLab  
   🔗 [jupyter-ai.readthedocs.io](https://jupyter-ai.readthedocs.io/)  

13. <a href="https://github.com/mito-ds/monorepo">mito-ds/</a><b><a href="https://github.com/mito-ds/monorepo">mito</a></b> ⭐ 2,609    
   Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet  
   🔗 [trymito.io](https://trymito.io)  

14. <a href="https://github.com/deepnote/deepnote">deepnote/</a><b><a href="https://github.com/deepnote/deepnote">deepnote</a></b> ⭐ 2,585    
   Deepnote is a successor of Jupyter. It uses the Deepnote kernel which is more powerful but still backwards compatible so you can seamlessly move between both, but adds an AI agent, sleek UI, new block types, and native data integrations.  
   🔗 [deepnote.com/?utm_source=github&utm_medium=github&utm_campaign=github&utm_content=readme_main](https://deepnote.com/?utm_source=github&utm_medium=github&utm_campaign=github&utm_content=readme_main)  

15. <a href="https://github.com/koaning/drawdata">koaning/</a><b><a href="https://github.com/koaning/drawdata">drawdata</a></b> ⭐ 1,608    
   Draw datasets from within Python notebooks.  
   🔗 [koaning.github.io/drawdata](https://koaning.github.io/drawdata/)  

16. <a href="https://github.com/infuseai/colab-xterm">infuseai/</a><b><a href="https://github.com/infuseai/colab-xterm">colab-xterm</a></b> ⭐ 477    
   Open a terminal in colab, including the free tier.  

## LLMs and ChatGPT

Large language model and GPT libraries and frameworks: auto-gpt, agents, QnA, chain-of-thought workflows, API integations. Also see the <a href="https://github.com/dylanhogg/awesome-python#natural-language-processing">Natural Language Processing</a> category for crossover.  

1. <a href="https://github.com/significant-gravitas/autogpt">significant-gravitas/</a><b><a href="https://github.com/significant-gravitas/autogpt">AutoGPT</a></b> ⭐ 181,398    
   AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.  
   🔗 [agpt.co](https://agpt.co)  

2. <a href="https://github.com/open-webui/open-webui">open-webui/</a><b><a href="https://github.com/open-webui/open-webui">open-webui</a></b> ⭐ 121,671    
   Open WebUI is an extensible, feature-rich, and user-friendly self-hosted AI platform designed to operate entirely offline. It supports various LLM runners like Ollama and OpenAI-compatible APIs, with built-in inference engine for RAG  
   🔗 [openwebui.com](https://openwebui.com)  

3. <a href="https://github.com/deepseek-ai/deepseek-v3">deepseek-ai/</a><b><a href="https://github.com/deepseek-ai/deepseek-v3">DeepSeek-V3</a></b> ⭐ 101,281    
   A strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token.  

4. <a href="https://github.com/ggerganov/llama.cpp">ggerganov/</a><b><a href="https://github.com/ggerganov/llama.cpp">llama.cpp</a></b> ⭐ 93,624    
   LLM inference in C/C++  

5. <a href="https://github.com/nomic-ai/gpt4all">nomic-ai/</a><b><a href="https://github.com/nomic-ai/gpt4all">gpt4all</a></b> ⭐ 77,052    
   GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.  
   🔗 [nomic.ai/gpt4all](https://nomic.ai/gpt4all)  

6. <a href="https://github.com/modelcontextprotocol/servers">modelcontextprotocol/</a><b><a href="https://github.com/modelcontextprotocol/servers">servers</a></b> ⭐ 77,017    
   A collection of reference implementations for the Model Context Protocol (MCP), as well as references to community built servers  
   🔗 [modelcontextprotocol.io](https://modelcontextprotocol.io)  

7. <a href="https://github.com/infiniflow/ragflow">infiniflow/</a><b><a href="https://github.com/infiniflow/ragflow">ragflow</a></b> ⭐ 72,047    
   RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs  
   🔗 [ragflow.io](https://ragflow.io)  

8. <a href="https://github.com/vllm-project/vllm">vllm-project/</a><b><a href="https://github.com/vllm-project/vllm">vllm</a></b> ⭐ 68,388    
   A high-throughput and memory-efficient inference and serving engine for LLMs  
   🔗 [vllm.ai](https://vllm.ai)  

9. <a href="https://github.com/hiyouga/llama-factory">hiyouga/</a><b><a href="https://github.com/hiyouga/llama-factory">LlamaFactory</a></b> ⭐ 66,357    
   Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)  
   🔗 [llamafactory.readthedocs.io](https://llamafactory.readthedocs.io)  

10. <a href="https://github.com/xtekky/gpt4free">xtekky/</a><b><a href="https://github.com/xtekky/gpt4free">gpt4free</a></b> ⭐ 65,698    
   The official gpt4free repository | various collection of powerful language models | o4, o3 and deepseek r1, gpt-4.1, gemini 2.5  
   🔗 [t.me/g4f_channel](https://t.me/g4f_channel)  

11. <a href="https://github.com/killianlucas/open-interpreter">killianlucas/</a><b><a href="https://github.com/killianlucas/open-interpreter">open-interpreter</a></b> ⭐ 61,792    
   A natural language interface for computers  
   🔗 [openinterpreter.com](http://openinterpreter.com/)  

12. <a href="https://github.com/facebookresearch/llama">facebookresearch/</a><b><a href="https://github.com/facebookresearch/llama">llama</a></b> ⭐ 59,082    
   Inference code for Llama models  

13. <a href="https://github.com/unclecode/crawl4ai">unclecode/</a><b><a href="https://github.com/unclecode/crawl4ai">crawl4ai</a></b> ⭐ 58,929    
   AI-ready web crawling tailored for LLMs, AI agents, and data pipelines. Open source, flexible, and built for real-time performance, Crawl4AI empowers developers with unmatched speed, precision, and deployment ease.  
   🔗 [crawl4ai.com](https://crawl4ai.com)  

14. <a href="https://github.com/imartinez/privategpt">imartinez/</a><b><a href="https://github.com/imartinez/privategpt">private-gpt</a></b> ⭐ 57,072    
   Interact with your documents using the power of GPT, 100% privately, no data leaks  
   🔗 [privategpt.dev](https://privategpt.dev)  

15. <a href="https://github.com/gpt-engineer-org/gpt-engineer">gpt-engineer-org/</a><b><a href="https://github.com/gpt-engineer-org/gpt-engineer">gpt-engineer</a></b> ⭐ 55,205    
   CLI platform to experiment with codegen. Precursor to: https://lovable.dev  

16. <a href="https://github.com/pathwaycom/llm-app">pathwaycom/</a><b><a href="https://github.com/pathwaycom/llm-app">llm-app</a></b> ⭐ 54,566    
   Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.  
   🔗 [pathway.com/developers/templates](https://pathway.com/developers/templates/)  

17. <a href="https://github.com/karpathy/nanogpt">karpathy/</a><b><a href="https://github.com/karpathy/nanogpt">nanoGPT</a></b> ⭐ 52,283    
   The simplest, fastest repository for training/finetuning medium-sized GPTs.  

18. <a href="https://github.com/xai-org/grok-1">xai-org/</a><b><a href="https://github.com/xai-org/grok-1">grok-1</a></b> ⭐ 51,370    
   This repository contains JAX example code for loading and running the Grok-1 open-weights model.  

19. <a href="https://github.com/unslothai/unsloth">unslothai/</a><b><a href="https://github.com/unslothai/unsloth">unsloth</a></b> ⭐ 51,098    
   Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek, Qwen, Llama, Gemma, TTS 2x faster with 70% less VRAM.  
   🔗 [unsloth.ai/docs](https://unsloth.ai/docs)  

20. <a href="https://github.com/oobabooga/text-generation-webui">oobabooga/</a><b><a href="https://github.com/oobabooga/text-generation-webui">text-generation-webui</a></b> ⭐ 45,923    
   The definitive Web UI for local AI, with powerful features and easy setup.  
   🔗 [oobabooga.gumroad.com/l/deep_reason](https://oobabooga.gumroad.com/l/deep_reason)  

21. <a href="https://github.com/hpcaitech/colossalai">hpcaitech/</a><b><a href="https://github.com/hpcaitech/colossalai">ColossalAI</a></b> ⭐ 41,330    
   Making large AI models cheaper, faster and more accessible  
   🔗 [www.colossalai.org](https://www.colossalai.org)  

22. <a href="https://github.com/thudm/chatglm-6b">thudm/</a><b><a href="https://github.com/thudm/chatglm-6b">ChatGLM-6B</a></b> ⭐ 41,222    
   ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型  

23. <a href="https://github.com/karpathy/nanochat">karpathy/</a><b><a href="https://github.com/karpathy/nanochat">nanochat</a></b> ⭐ 40,732    
   A full-stack implementation of an LLM like ChatGPT in a single, clean, minimal, hackable, dependency-lite codebase  

24. <a href="https://github.com/exo-explore/exo">exo-explore/</a><b><a href="https://github.com/exo-explore/exo">exo</a></b> ⭐ 40,421    
   Run your own AI cluster at home. Unify your existing devices into one powerful GPU: iPhone, iPad, Android, Mac, NVIDIA, Raspberry Pi etc  

25. <a href="https://github.com/lm-sys/fastchat">lm-sys/</a><b><a href="https://github.com/lm-sys/fastchat">FastChat</a></b> ⭐ 39,381    
   An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.  

26. <a href="https://github.com/quivrhq/quivr">quivrhq/</a><b><a href="https://github.com/quivrhq/quivr">quivr</a></b> ⭐ 38,879    
   Opiniated RAG for integrating GenAI in your apps 🧠   Focus on your product rather than the RAG. Easy integration in existing products with customisation!  Any LLM: GPT4, Groq, Llama. Any Vectorstore: PGVector, Faiss. Any Files. Anyway you want.   
   🔗 [core.quivr.com](https://core.quivr.com)  

27. <a href="https://github.com/danielmiessler/fabric">danielmiessler/</a><b><a href="https://github.com/danielmiessler/fabric">Fabric</a></b> ⭐ 38,472    
   Fabric is an open-source framework for augmenting humans using AI. It provides a modular system for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.  
   🔗 [danielmiessler.com/p/fabric-origin-story](https://danielmiessler.com/p/fabric-origin-story)  

28. <a href="https://github.com/laion-ai/open-assistant">laion-ai/</a><b><a href="https://github.com/laion-ai/open-assistant">Open-Assistant</a></b> ⭐ 37,468    
   OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.  
   🔗 [open-assistant.io](https://open-assistant.io)  

29. <a href="https://github.com/berriai/litellm">berriai/</a><b><a href="https://github.com/berriai/litellm">litellm</a></b> ⭐ 34,399    
   Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, VLLM, NVIDIA NIM]  
   🔗 [docs.litellm.ai/docs](https://docs.litellm.ai/docs/)  

30. <a href="https://github.com/moymix/taskmatrix">moymix/</a><b><a href="https://github.com/moymix/taskmatrix">TaskMatrix</a></b> ⭐ 34,284    
   Connects ChatGPT and a series of Visual Foundation Models to enable sending and receiving images during chatting.  

31. <a href="https://github.com/pythagora-io/gpt-pilot">pythagora-io/</a><b><a href="https://github.com/pythagora-io/gpt-pilot">gpt-pilot</a></b> ⭐ 33,749    
   The first real AI developer  

32. <a href="https://github.com/khoj-ai/khoj">khoj-ai/</a><b><a href="https://github.com/khoj-ai/khoj">khoj</a></b> ⭐ 32,272    
   Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI  
   🔗 [khoj.dev](https://khoj.dev)  

33. <a href="https://github.com/stanfordnlp/dspy">stanfordnlp/</a><b><a href="https://github.com/stanfordnlp/dspy">dspy</a></b> ⭐ 31,759    
   DSPy: The framework for programming—not prompting—language models  
   🔗 [dspy.ai](https://dspy.ai)  

34. <a href="https://github.com/anthropics/anthropic-cookbook">anthropics/</a><b><a href="https://github.com/anthropics/anthropic-cookbook">claude-cookbooks</a></b> ⭐ 31,709    
   Provides code and guides designed to help developers build with Claude, offering copy-able code snippets that you can easily integrate into your own projects.  

35. <a href="https://github.com/microsoft/graphrag">microsoft/</a><b><a href="https://github.com/microsoft/graphrag">graphrag</a></b> ⭐ 30,500    
   A modular graph-based Retrieval-Augmented Generation (RAG) system  
   🔗 [microsoft.github.io/graphrag](https://microsoft.github.io/graphrag/)  

36. <a href="https://github.com/tatsu-lab/stanford_alpaca">tatsu-lab/</a><b><a href="https://github.com/tatsu-lab/stanford_alpaca">stanford_alpaca</a></b> ⭐ 30,273    
   Code and documentation to train Stanford's Alpaca models, and generate the data.  
   🔗 [crfm.stanford.edu/2023/03/13/alpaca.html](https://crfm.stanford.edu/2023/03/13/alpaca.html)  

37. <a href="https://github.com/meta-llama/llama3">meta-llama/</a><b><a href="https://github.com/meta-llama/llama3">llama3</a></b> ⭐ 29,193    
   The official Meta Llama 3 GitHub site  

38. <a href="https://github.com/karpathy/llm.c">karpathy/</a><b><a href="https://github.com/karpathy/llm.c">llm.c</a></b> ⭐ 28,693    
   LLM training in simple, pure C/CUDA. There is no need for 245MB of PyTorch or 107MB of cPython  

39. <a href="https://github.com/microsoft/semantic-kernel">microsoft/</a><b><a href="https://github.com/microsoft/semantic-kernel">semantic-kernel</a></b> ⭐ 27,079    
   An SDK that integrates LLMs like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C#, Python, and Java  
   🔗 [aka.ms/semantic-kernel](https://aka.ms/semantic-kernel)  

40. <a href="https://github.com/qwenlm/qwen3">qwenlm/</a><b><a href="https://github.com/qwenlm/qwen3">Qwen3</a></b> ⭐ 26,271    
   Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud.  

41. <a href="https://github.com/huggingface/open-r1">huggingface/</a><b><a href="https://github.com/huggingface/open-r1">open-r1</a></b> ⭐ 25,840    
   The goal of this repo is to build the missing pieces of the R1 pipeline such that everybody can reproduce and build on top of it  

42. <a href="https://github.com/microsoft/bitnet">microsoft/</a><b><a href="https://github.com/microsoft/bitnet">BitNet</a></b> ⭐ 25,810    
   Official inference framework for 1-bit LLMs (e.g., BitNet b1.58). It offers a suite of optimized kernels, that support fast and lossless inference of 1.58-bit models  

43. <a href="https://github.com/vision-cair/minigpt-4">vision-cair/</a><b><a href="https://github.com/vision-cair/minigpt-4">MiniGPT-4</a></b> ⭐ 25,765    
   Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)  
   🔗 [minigpt-4.github.io](https://minigpt-4.github.io)  

44. <a href="https://github.com/cinnamon/kotaemon">cinnamon/</a><b><a href="https://github.com/cinnamon/kotaemon">kotaemon</a></b> ⭐ 24,865    
   An open-source RAG UI for chatting with your documents. Built with both end users and developers in mind  
   🔗 [cinnamon.github.io/kotaemon](https://cinnamon.github.io/kotaemon/)  

45. <a href="https://github.com/openai/gpt-2">openai/</a><b><a href="https://github.com/openai/gpt-2">gpt-2</a></b> ⭐ 24,567    
   Code for the paper "Language Models are Unsupervised Multitask Learners"  
   🔗 [openai.com/blog/better-language-models](https://openai.com/blog/better-language-models/)  

46. <a href="https://github.com/microsoft/jarvis">microsoft/</a><b><a href="https://github.com/microsoft/jarvis">JARVIS</a></b> ⭐ 24,513    
   JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf  

47. <a href="https://github.com/haotian-liu/llava">haotian-liu/</a><b><a href="https://github.com/haotian-liu/llava">LLaVA</a></b> ⭐ 24,364    
   [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.  
   🔗 [llava.hliu.cc](https://llava.hliu.cc)  

48. <a href="https://github.com/nirdiamant/rag_techniques">nirdiamant/</a><b><a href="https://github.com/nirdiamant/rag_techniques">RAG_Techniques</a></b> ⭐ 24,339    
   The most comprehensive and dynamic collections of Retrieval-Augmented Generation (RAG) tutorials available today. This repository serves as a hub for cutting-edge techniques aimed at enhancing the accuracy, efficiency, and contextual richness of RAG systems.  

49. <a href="https://github.com/deepset-ai/haystack">deepset-ai/</a><b><a href="https://github.com/deepset-ai/haystack">haystack</a></b> ⭐ 23,959    
   AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversatio...  
   🔗 [haystack.deepset.ai](https://haystack.deepset.ai)  

50. <a href="https://github.com/google/langextract">google/</a><b><a href="https://github.com/google/langextract">langextract</a></b> ⭐ 23,629    
   Library that uses LLMs to extract structured information from unstructured text documents based on user-defined instructions  
   🔗 [pypi.org/project/langextract](https://pypi.org/project/langextract/)  

51. <a href="https://github.com/karpathy/mingpt">karpathy/</a><b><a href="https://github.com/karpathy/mingpt">minGPT</a></b> ⭐ 23,333    
   A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training  

52. <a href="https://github.com/sgl-project/sglang">sgl-project/</a><b><a href="https://github.com/sgl-project/sglang">sglang</a></b> ⭐ 22,668    
   SGLang is a high-performance serving framework for large language models and multimodal models.  
   🔗 [sglang.io](https://sglang.io)  

53. <a href="https://github.com/vanna-ai/vanna">vanna-ai/</a><b><a href="https://github.com/vanna-ai/vanna">vanna</a></b> ⭐ 22,377    
   RAG (Retrieval-Augmented Generation) framework for SQL generation and related functionality.  
   🔗 [vanna.ai/docs](https://vanna.ai/docs/)  

54. <a href="https://github.com/mlc-ai/mlc-llm">mlc-ai/</a><b><a href="https://github.com/mlc-ai/mlc-llm">mlc-llm</a></b> ⭐ 21,931    
   Universal LLM Deployment Engine with ML Compilation  
   🔗 [llm.mlc.ai](https://llm.mlc.ai/)  

55. <a href="https://github.com/dao-ailab/flash-attention">dao-ailab/</a><b><a href="https://github.com/dao-ailab/flash-attention">flash-attention</a></b> ⭐ 21,806    
   Fast and memory-efficient exact attention  

56. <a href="https://github.com/modelcontextprotocol/python-sdk">modelcontextprotocol/</a><b><a href="https://github.com/modelcontextprotocol/python-sdk">python-sdk</a></b> ⭐ 21,299    
   The Model Context Protocol allows applications to provide context for LLMs in a standardized way, separating the concerns of providing context from the actual LLM interaction.  
   🔗 [modelcontextprotocol.github.io/python-sdk](https://modelcontextprotocol.github.io/python-sdk/)  

57. <a href="https://github.com/openai/chatgpt-retrieval-plugin">openai/</a><b><a href="https://github.com/openai/chatgpt-retrieval-plugin">chatgpt-retrieval-plugin</a></b> ⭐ 21,229    
   The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.  

58. <a href="https://github.com/guidance-ai/guidance">guidance-ai/</a><b><a href="https://github.com/guidance-ai/guidance">guidance</a></b> ⭐ 21,221    
   A guidance language for controlling large language models.  

59. <a href="https://github.com/rasahq/rasa">rasahq/</a><b><a href="https://github.com/rasahq/rasa">rasa</a></b> ⭐ 20,993    
   💬   Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants  
   🔗 [rasa.com/docs/rasa](https://rasa.com/docs/rasa/)  

60. <a href="https://github.com/huggingface/peft">huggingface/</a><b><a href="https://github.com/huggingface/peft">peft</a></b> ⭐ 20,514    
   🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.  
   🔗 [huggingface.co/docs/peft](https://huggingface.co/docs/peft)  

61. <a href="https://github.com/qwenlm/qwen">qwenlm/</a><b><a href="https://github.com/qwenlm/qwen">Qwen</a></b> ⭐ 20,214    
   The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.  

62. <a href="https://github.com/skyvern-ai/skyvern">skyvern-ai/</a><b><a href="https://github.com/skyvern-ai/skyvern">skyvern</a></b> ⭐ 20,197    
   Skyvern automates browser-based workflows using LLMs and computer vision. It provides a simple API endpoint to fully automate manual workflows, replacing brittle or unreliable automation solutions.  
   🔗 [www.skyvern.com](https://www.skyvern.com)  

63. <a href="https://github.com/stitionai/devika">stitionai/</a><b><a href="https://github.com/stitionai/devika">devika</a></b> ⭐ 19,489    
   Devika is an advanced AI software engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective.  
   🔗 [opcode.sh](https://opcode.sh)  

64. <a href="https://github.com/karpathy/llama2.c">karpathy/</a><b><a href="https://github.com/karpathy/llama2.c">llama2.c</a></b> ⭐ 19,130    
   Inference Llama 2 in one file of pure C  

65. <a href="https://github.com/tloen/alpaca-lora">tloen/</a><b><a href="https://github.com/tloen/alpaca-lora">alpaca-lora</a></b> ⭐ 18,980    
   Instruct-tune LLaMA on consumer hardware  

66. <a href="https://github.com/volcengine/verl">volcengine/</a><b><a href="https://github.com/volcengine/verl">verl</a></b> ⭐ 18,644    
   veRL is a flexible, efficient and production-ready RL training library for large language models (LLMs).  
   🔗 [verl.readthedocs.io/en/latest/index.html](https://verl.readthedocs.io/en/latest/index.html)  

67. <a href="https://github.com/facebookresearch/llama-recipes">facebookresearch/</a><b><a href="https://github.com/facebookresearch/llama-recipes">llama-cookbook</a></b> ⭐ 18,166    
   Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services    
   🔗 [www.llama.com](https://www.llama.com/)  

68. <a href="https://github.com/openai/evals">openai/</a><b><a href="https://github.com/openai/evals">evals</a></b> ⭐ 17,586    
   Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.  

69. <a href="https://github.com/idea-research/grounded-segment-anything">idea-research/</a><b><a href="https://github.com/idea-research/grounded-segment-anything">Grounded-Segment-Anything</a></b> ⭐ 17,359    
   Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything  
   🔗 [arxiv.org/abs/2401.14159](https://arxiv.org/abs/2401.14159)  

70. <a href="https://github.com/mlc-ai/web-llm">mlc-ai/</a><b><a href="https://github.com/mlc-ai/web-llm">web-llm</a></b> ⭐ 17,171    
   High-performance In-browser LLM Inference Engine   
   🔗 [webllm.mlc.ai](https://webllm.mlc.ai)  

71. <a href="https://github.com/transformeroptimus/superagi">transformeroptimus/</a><b><a href="https://github.com/transformeroptimus/superagi">SuperAGI</a></b> ⭐ 17,105    
   <⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.  
   🔗 [superagi.com](https://superagi.com/)  

72. <a href="https://github.com/kvcache-ai/ktransformers">kvcache-ai/</a><b><a href="https://github.com/kvcache-ai/ktransformers">ktransformers</a></b> ⭐ 16,385    
   A Flexible Framework for LLM Inference Optimizations - allows researchers to replace original torch modules with optimized variants  
   🔗 [kvcache-ai.github.io/ktransformers](https://kvcache-ai.github.io/ktransformers/)  

73. <a href="https://github.com/facebookresearch/codellama">facebookresearch/</a><b><a href="https://github.com/facebookresearch/codellama">codellama</a></b> ⭐ 16,357    
   Inference code for CodeLlama models  

74. <a href="https://github.com/mayooear/gpt4-pdf-chatbot-langchain">mayooear/</a><b><a href="https://github.com/mayooear/gpt4-pdf-chatbot-langchain">ai-pdf-chatbot-langchain</a></b> ⭐ 16,314    
   AI PDF chatbot agent built with LangChain & LangGraph   
   🔗 [www.youtube.com/watch?v=of6soldiewu](https://www.youtube.com/watch?v=OF6SolDiEwU)  

75. <a href="https://github.com/thudm/chatglm2-6b">thudm/</a><b><a href="https://github.com/thudm/chatglm2-6b">ChatGLM2-6B</a></b> ⭐ 15,680    
   ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型  

76. <a href="https://github.com/nvidia/megatron-lm">nvidia/</a><b><a href="https://github.com/nvidia/megatron-lm">Megatron-LM</a></b> ⭐ 14,998    
   Ongoing research training transformer models at scale  
   🔗 [docs.nvidia.com/megatron-core/developer-guide/latest/get-started/quickstart.html](https://docs.nvidia.com/megatron-core/developer-guide/latest/get-started/quickstart.html)  

77. <a href="https://github.com/qwenlm/qwen3-coder">qwenlm/</a><b><a href="https://github.com/qwenlm/qwen3-coder">Qwen3-Coder</a></b> ⭐ 14,967    
   Qwen3-Coder is the code version of Qwen3, the large language model series developed by Qwen team, Alibaba Cloud.  

78. <a href="https://github.com/fauxpilot/fauxpilot">fauxpilot/</a><b><a href="https://github.com/fauxpilot/fauxpilot">fauxpilot</a></b> ⭐ 14,759    
   FauxPilot - an open-source alternative to GitHub Copilot server  

79. <a href="https://github.com/llmware-ai/llmware">llmware-ai/</a><b><a href="https://github.com/llmware-ai/llmware">llmware</a></b> ⭐ 14,460    
   Unified framework for building enterprise RAG pipelines with small, specialized models  
   🔗 [llmware-ai.github.io/llmware](https://llmware-ai.github.io/llmware/)  

80. <a href="https://github.com/blinkdl/rwkv-lm">blinkdl/</a><b><a href="https://github.com/blinkdl/rwkv-lm">RWKV-LM</a></b> ⭐ 14,321    
   RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and f...  

81. <a href="https://github.com/swivid/f5-tts">swivid/</a><b><a href="https://github.com/swivid/f5-tts">F5-TTS</a></b> ⭐ 13,999    
   Official code for "F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching"  
   🔗 [arxiv.org/abs/2410.06885](https://arxiv.org/abs/2410.06885)  

82. <a href="https://github.com/karpathy/llm-council">karpathy/</a><b><a href="https://github.com/karpathy/llm-council">llm-council</a></b> ⭐ 13,742    
   LLM Council works together to answer your hardest questions  

83. <a href="https://github.com/anthropics/anthropic-quickstarts">anthropics/</a><b><a href="https://github.com/anthropics/anthropic-quickstarts">claude-quickstarts</a></b> ⭐ 13,639    
   A collection of projects designed to help developers quickly get started with building applications using the Anthropic API. Each quickstart provides a foundation that you can easily build upon and customize for your specific needs.  

84. <a href="https://github.com/canner/wrenai">canner/</a><b><a href="https://github.com/canner/wrenai">WrenAI</a></b> ⭐ 13,527    
   Open-source GenBI AI Agent that empowers data-driven teams to chat with their data to generate Text-to-SQL, charts, spreadsheets, reports, and BI.  
   🔗 [getwren.ai/oss](https://getwren.ai/oss)  

85. <a href="https://github.com/andrewyng/aisuite">andrewyng/</a><b><a href="https://github.com/andrewyng/aisuite">aisuite</a></b> ⭐ 13,384    
   Simple, unified interface to multiple Generative AI providers. aisuite makes it easy for developers to use multiple LLM through a standardized interface.  

86. <a href="https://github.com/dottxt-ai/outlines">dottxt-ai/</a><b><a href="https://github.com/dottxt-ai/outlines">outlines</a></b> ⭐ 13,289    
   Structured Text Generation from LLMs  
   🔗 [dottxt-ai.github.io/outlines](https://dottxt-ai.github.io/outlines/)  

87. <a href="https://github.com/microsoft/lora">microsoft/</a><b><a href="https://github.com/microsoft/lora">LoRA</a></b> ⭐ 13,196    
   Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"  
   🔗 [arxiv.org/abs/2106.09685](https://arxiv.org/abs/2106.09685)  

88. <a href="https://github.com/lightning-ai/lit-gpt">lightning-ai/</a><b><a href="https://github.com/lightning-ai/lit-gpt">litgpt</a></b> ⭐ 13,116    
   20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.  
   🔗 [lightning.ai](https://lightning.ai)  

89. <a href="https://github.com/lightning-ai/litgpt">lightning-ai/</a><b><a href="https://github.com/lightning-ai/litgpt">litgpt</a></b> ⭐ 13,116    
   20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.  
   🔗 [lightning.ai](https://lightning.ai)  

90. <a href="https://github.com/qwenlm/qwen-agent">qwenlm/</a><b><a href="https://github.com/qwenlm/qwen-agent">Qwen-Agent</a></b> ⭐ 13,021    
   Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc.  
   🔗 [pypi.org/project/qwen-agent](https://pypi.org/project/qwen-agent/)  

91. <a href="https://github.com/paddlepaddle/paddlenlp">paddlepaddle/</a><b><a href="https://github.com/paddlepaddle/paddlenlp">PaddleNLP</a></b> ⭐ 12,904    
   Easy-to-use and powerful LLM and SLM library with awesome model zoo.  
   🔗 [paddlenlp.readthedocs.io](https://paddlenlp.readthedocs.io)  

92. <a href="https://github.com/shishirpatil/gorilla">shishirpatil/</a><b><a href="https://github.com/shishirpatil/gorilla">gorilla</a></b> ⭐ 12,697    
   Enables LLMs to use tools by invoking APIs. Given a query, Gorilla comes up with the semantically and syntactically correct API.  
   🔗 [gorilla.cs.berkeley.edu](https://gorilla.cs.berkeley.edu/)  

93. <a href="https://github.com/jiayi-pan/tinyzero">jiayi-pan/</a><b><a href="https://github.com/jiayi-pan/tinyzero">TinyZero</a></b> ⭐ 12,624    
   TinyZero is a reproduction of DeepSeek R1 Zero in countdown and multiplication tasks.  

94. <a href="https://github.com/explodinggradients/ragas">explodinggradients/</a><b><a href="https://github.com/explodinggradients/ragas">ragas</a></b> ⭐ 12,352    
   Supercharge Your LLM Application Evaluations 🚀  
   🔗 [docs.ragas.io](https://docs.ragas.io)  

95. <a href="https://github.com/modelscope/ms-swift">modelscope/</a><b><a href="https://github.com/modelscope/ms-swift">ms-swift</a></b> ⭐ 12,316    
   Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3, Qwen3-MoE, DeepSeek-R1, GLM4.5, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Llava, Phi4, ...) (AAAI 2025).  
   🔗 [swift.readthedocs.io/zh-cn/v3.12](https://swift.readthedocs.io/zh-cn/v3.12/)  

96. <a href="https://github.com/sapientinc/hrm">sapientinc/</a><b><a href="https://github.com/sapientinc/hrm">HRM</a></b> ⭐ 12,274    
   Hierarchical Reasoning Model (HRM), a novel recurrent architecture that attains significant computational depth while maintaining both training stability and efficiency  
   🔗 [sapient.inc](https://sapient.inc)  

97. <a href="https://github.com/google-research/vision_transformer">google-research/</a><b><a href="https://github.com/google-research/vision_transformer">vision_transformer</a></b> ⭐ 12,247    
   Vision Transformer and MLP-Mixer Architectures  

98. <a href="https://github.com/instructor-ai/instructor">instructor-ai/</a><b><a href="https://github.com/instructor-ai/instructor">instructor</a></b> ⭐ 12,199    
   Instructor is a Python library that makes it a breeze to work with structured outputs from large language models (LLMs). Built on top of Pydantic, it provides a simple, transparent, and user-friendly API to manage validation, retries, and streaming responses.  
   🔗 [python.useinstructor.com](https://python.useinstructor.com/)  

99. <a href="https://github.com/openlmlab/moss">openlmlab/</a><b><a href="https://github.com/openlmlab/moss">MOSS</a></b> ⭐ 12,076    
   An open-source tool-augmented conversational language model from Fudan University  
   🔗 [txsun1997.github.io/blogs/moss.html](https://txsun1997.github.io/blogs/moss.html)  

100. <a href="https://github.com/h2oai/h2ogpt">h2oai/</a><b><a href="https://github.com/h2oai/h2ogpt">h2ogpt</a></b> ⭐ 12,004    
   Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/  
   🔗 [h2o.ai](http://h2o.ai)  

101. <a href="https://github.com/gibsonai/memori">gibsonai/</a><b><a href="https://github.com/gibsonai/memori">Memori</a></b> ⭐ 11,861    
   Memori enables any LLM to remember conversations, learn from interactions, and maintain context across sessions  
   🔗 [memorilabs.ai](https://memorilabs.ai)  

102. <a href="https://github.com/chainlit/chainlit">chainlit/</a><b><a href="https://github.com/chainlit/chainlit">chainlit</a></b> ⭐ 11,430    
   Build Conversational AI in minutes ⚡️  
   🔗 [docs.chainlit.io](https://docs.chainlit.io)  

103. <a href="https://github.com/topoteretes/cognee">topoteretes/</a><b><a href="https://github.com/topoteretes/cognee">cognee</a></b> ⭐ 11,265    
   Memory for AI Agents in 6 lines of code  
   🔗 [www.cognee.ai](https://www.cognee.ai)  

104. <a href="https://github.com/eleutherai/lm-evaluation-harness">eleutherai/</a><b><a href="https://github.com/eleutherai/lm-evaluation-harness">lm-evaluation-harness</a></b> ⭐ 11,265    
   A framework for few-shot evaluation of language models.  
   🔗 [www.eleuther.ai](https://www.eleuther.ai)  

105. <a href="https://github.com/axolotl-ai-cloud/axolotl">axolotl-ai-cloud/</a><b><a href="https://github.com/axolotl-ai-cloud/axolotl">axolotl</a></b> ⭐ 11,143    
   Go ahead and axolotl questions  
   🔗 [docs.axolotl.ai](https://docs.axolotl.ai)  

106. <a href="https://github.com/geeeekexplorer/nano-vllm">geeeekexplorer/</a><b><a href="https://github.com/geeeekexplorer/nano-vllm">nano-vllm</a></b> ⭐ 11,017    
   A lightweight vLLM implementation built from scratch.  

107. <a href="https://github.com/microsoft/promptflow">microsoft/</a><b><a href="https://github.com/microsoft/promptflow">promptflow</a></b> ⭐ 11,001    
   Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.  
   🔗 [microsoft.github.io/promptflow](https://microsoft.github.io/promptflow/)  

108. <a href="https://github.com/artidoro/qlora">artidoro/</a><b><a href="https://github.com/artidoro/qlora">qlora</a></b> ⭐ 10,821    
   QLoRA: Efficient Finetuning of Quantized LLMs  
   🔗 [arxiv.org/abs/2305.14314](https://arxiv.org/abs/2305.14314)  

109. <a href="https://github.com/databrickslabs/dolly">databrickslabs/</a><b><a href="https://github.com/databrickslabs/dolly">dolly</a></b> ⭐ 10,802    
   Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform  
   🔗 [www.databricks.com/blog/2023/03/24/hello-dolly-democratizing-magic-chatgpt-open-models.html](https://www.databricks.com/blog/2023/03/24/hello-dolly-democratizing-magic-chatgpt-open-models.html)  

110. <a href="https://github.com/mistralai/mistral-src">mistralai/</a><b><a href="https://github.com/mistralai/mistral-src">mistral-inference</a></b> ⭐ 10,632    
   Official inference library for Mistral models  
   🔗 [mistral.ai](https://mistral.ai/)  

111. <a href="https://github.com/e2b-dev/e2b">e2b-dev/</a><b><a href="https://github.com/e2b-dev/e2b">E2B</a></b> ⭐ 10,604    
   E2B is an open-source infrastructure that allows you to run AI-generated code in secure isolated sandboxes in the cloud  
   🔗 [e2b.dev/docs](https://e2b.dev/docs)  

112. <a href="https://github.com/karpathy/minbpe">karpathy/</a><b><a href="https://github.com/karpathy/minbpe">minbpe</a></b> ⭐ 10,284    
   Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.  

113. <a href="https://github.com/promptfoo/promptfoo">promptfoo/</a><b><a href="https://github.com/promptfoo/promptfoo">promptfoo</a></b> ⭐ 10,096    
   Test your prompts, agents, and RAGs. AI Red teaming, pentesting, and vulnerability scanning for LLMs. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line and CI/CD integration.  
   🔗 [promptfoo.dev](https://promptfoo.dev)  

114. <a href="https://github.com/pipecat-ai/pipecat">pipecat-ai/</a><b><a href="https://github.com/pipecat-ai/pipecat">pipecat</a></b> ⭐ 9,974    
   Open Source framework for voice and multimodal conversational AI  
   🔗 [pipecat.ai](https://pipecat.ai)  

115. <a href="https://github.com/abetlen/llama-cpp-python">abetlen/</a><b><a href="https://github.com/abetlen/llama-cpp-python">llama-cpp-python</a></b> ⭐ 9,922    
   Simple Python bindings for @ggerganov's llama.cpp library.  
   🔗 [llama-cpp-python.readthedocs.io](https://llama-cpp-python.readthedocs.io)  

116. <a href="https://github.com/mshumer/gpt-prompt-engineer">mshumer/</a><b><a href="https://github.com/mshumer/gpt-prompt-engineer">gpt-prompt-engineer</a></b> ⭐ 9,631    
   Simply input a description of your task and some test cases, and the system will generate, test, and rank a multitude of prompts to find the ones that perform the best.  

117. <a href="https://github.com/blinkdl/chatrwkv">blinkdl/</a><b><a href="https://github.com/blinkdl/chatrwkv">ChatRWKV</a></b> ⭐ 9,511    
   ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.  

118. <a href="https://github.com/skypilot-org/skypilot">skypilot-org/</a><b><a href="https://github.com/skypilot-org/skypilot">skypilot</a></b> ⭐ 9,367    
   Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, 20+ clouds, or on-prem).  
   🔗 [docs.skypilot.co](https://docs.skypilot.co/)  

119. <a href="https://github.com/vikhyat/moondream">vikhyat/</a><b><a href="https://github.com/vikhyat/moondream">moondream</a></b> ⭐ 9,264    
   A tiny open-source computer-vision language model designed to run efficiently on edge devices  
   🔗 [moondream.ai](https://moondream.ai)  

120. <a href="https://github.com/jzhang38/tinyllama">jzhang38/</a><b><a href="https://github.com/jzhang38/tinyllama">TinyLlama</a></b> ⭐ 8,878    
   The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.  

121. <a href="https://github.com/vaibhavs10/insanely-fast-whisper">vaibhavs10/</a><b><a href="https://github.com/vaibhavs10/insanely-fast-whisper">insanely-fast-whisper</a></b> ⭐ 8,787    
   An opinionated CLI to transcribe Audio files w/ Whisper on-device! Powered by 🤗 Transformers, Optimum & flash-attn  

122. <a href="https://github.com/thudm/codegeex">thudm/</a><b><a href="https://github.com/thudm/codegeex">CodeGeeX</a></b> ⭐ 8,743    
   CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023)  
   🔗 [codegeex.cn](https://codegeex.cn)  

123. <a href="https://github.com/bytedance/dolphin">bytedance/</a><b><a href="https://github.com/bytedance/dolphin">Dolphin</a></b> ⭐ 8,727    
   A novel multimodal document image parsing model following an analyze-then-parse paradigm  

124. <a href="https://github.com/lyogavin/airllm">lyogavin/</a><b><a href="https://github.com/lyogavin/airllm">airllm</a></b> ⭐ 8,713    
   AirLLM optimizes inference memory usage, allowing 70B large language models to run inference on a single 4GB GPU card without quantization, distillation and pruning. And you can run 405B Llama3.1 on 8GB vram now.  

125. <a href="https://github.com/apple/ml-ferret">apple/</a><b><a href="https://github.com/apple/ml-ferret">ml-ferret</a></b> ⭐ 8,676    
   Ferret: Refer and Ground Anything Anywhere at Any Granularity  

126. <a href="https://github.com/sjtu-ipads/powerinfer">sjtu-ipads/</a><b><a href="https://github.com/sjtu-ipads/powerinfer">PowerInfer</a></b> ⭐ 8,591    
   High-speed Large Language Model Serving for Local Deployment  

127. <a href="https://github.com/optimalscale/lmflow">optimalscale/</a><b><a href="https://github.com/optimalscale/lmflow">LMFlow</a></b> ⭐ 8,502    
   An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.  
   🔗 [optimalscale.github.io/lmflow](https://optimalscale.github.io/LMFlow/)  

128. <a href="https://github.com/eleutherai/gpt-neo">eleutherai/</a><b><a href="https://github.com/eleutherai/gpt-neo">gpt-neo</a></b> ⭐ 8,288    
   An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.  
   🔗 [www.eleuther.ai](https://www.eleuther.ai)  

129. <a href="https://github.com/lianjiatech/belle">lianjiatech/</a><b><a href="https://github.com/lianjiatech/belle">BELLE</a></b> ⭐ 8,284    
   BELLE: Be Everyone's Large Language model Engine（开源中文对话大模型）  

130. <a href="https://github.com/future-house/paper-qa">future-house/</a><b><a href="https://github.com/future-house/paper-qa">paper-qa</a></b> ⭐ 8,025    
   High-accuracy retrieval augmented generation (RAG) on PDFs or text files, with a focus on the scientific literature  
   🔗 [futurehouse.gitbook.io/futurehouse-cookbook](https://futurehouse.gitbook.io/futurehouse-cookbook)  

131. <a href="https://github.com/plachtaa/vall-e-x">plachtaa/</a><b><a href="https://github.com/plachtaa/vall-e-x">VALL-E-X</a></b> ⭐ 7,959    
   An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io/vallex/  

132. <a href="https://github.com/zilliztech/gptcache">zilliztech/</a><b><a href="https://github.com/zilliztech/gptcache">GPTCache</a></b> ⭐ 7,913    
   Semantic cache for LLMs. Fully integrated with LangChain and llama_index.   
   🔗 [gptcache.readthedocs.io](https://gptcache.readthedocs.io)  

133. <a href="https://github.com/01-ai/yi">01-ai/</a><b><a href="https://github.com/01-ai/yi">Yi</a></b> ⭐ 7,846    
   The Yi series models are the next generation of open-source large language models trained from scratch by 01.AI.  
   🔗 [01.ai](https://01.ai)  

134. <a href="https://github.com/thudm/glm-130b">thudm/</a><b><a href="https://github.com/thudm/glm-130b">GLM-130B</a></b> ⭐ 7,677    
   GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)  

135. <a href="https://github.com/sweepai/sweep">sweepai/</a><b><a href="https://github.com/sweepai/sweep">sweep</a></b> ⭐ 7,628    
   Sweep: AI coding assistant for JetBrains  
   🔗 [sweep.dev](https://sweep.dev)  

136. <a href="https://github.com/bigcode-project/starcoder">bigcode-project/</a><b><a href="https://github.com/bigcode-project/starcoder">starcoder</a></b> ⭐ 7,534    
   Home of StarCoder: fine-tuning & inference!  

137. <a href="https://github.com/vectifyai/pageindex">vectifyai/</a><b><a href="https://github.com/vectifyai/pageindex">PageIndex</a></b> ⭐ 7,532    
   A document indexing system that builds search tree structures from long documents, making them ready for reasoning-based RAG  
   🔗 [pageindex.ai](https://pageindex.ai)  

138. <a href="https://github.com/openlm-research/open_llama">openlm-research/</a><b><a href="https://github.com/openlm-research/open_llama">open_llama</a></b> ⭐ 7,529    
   OpenLLaMA: An Open Reproduction of LLaMA  

139. <a href="https://github.com/weaviate/verba">weaviate/</a><b><a href="https://github.com/weaviate/verba">Verba</a></b> ⭐ 7,525    
   Retrieval Augmented Generation (RAG) chatbot powered by Weaviate  

140. <a href="https://github.com/boundaryml/baml">boundaryml/</a><b><a href="https://github.com/boundaryml/baml">baml</a></b> ⭐ 7,442    
   The AI framework that adds the engineering to prompt engineering (Python/TS/Ruby/Java/C#/Rust/Go compatible)  
   🔗 [docs.boundaryml.com](https://docs.boundaryml.com)  

141. <a href="https://github.com/eleutherai/gpt-neox">eleutherai/</a><b><a href="https://github.com/eleutherai/gpt-neox">gpt-neox</a></b> ⭐ 7,370    
   An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries  
   🔗 [www.eleuther.ai](https://www.eleuther.ai/)  

142. <a href="https://github.com/mit-han-lab/streaming-llm">mit-han-lab/</a><b><a href="https://github.com/mit-han-lab/streaming-llm">streaming-llm</a></b> ⭐ 7,172    
   [ICLR 2024] Efficient Streaming Language Models with Attention Sinks  
   🔗 [arxiv.org/abs/2309.17453](https://arxiv.org/abs/2309.17453)  

143. <a href="https://github.com/bhaskatripathi/pdfgpt">bhaskatripathi/</a><b><a href="https://github.com/bhaskatripathi/pdfgpt">pdfGPT</a></b> ⭐ 7,168    
   PDF GPT allows you to chat with the contents of your PDF file by using GPT capabilities. The most effective open source solution to turn your pdf files in a chatbot!  
   🔗 [huggingface.co/spaces/bhaskartripathi/pdfchatter](https://huggingface.co/spaces/bhaskartripathi/pdfChatter)  

144. <a href="https://github.com/apple/ml-fastvlm">apple/</a><b><a href="https://github.com/apple/ml-fastvlm">ml-fastvlm</a></b> ⭐ 7,167    
   FastVLM: Efficient Vision Encoding for Vision Language Models  

145. <a href="https://github.com/internlm/internlm">internlm/</a><b><a href="https://github.com/internlm/internlm">InternLM</a></b> ⭐ 7,142    
   Official release of InternLM series (InternLM, InternLM2, InternLM2.5, InternLM3).  
   🔗 [internlm.readthedocs.io](https://internlm.readthedocs.io/)  

146. <a href="https://github.com/apple/corenet">apple/</a><b><a href="https://github.com/apple/corenet">corenet</a></b> ⭐ 7,021    
   CoreNet is a deep neural network toolkit that allows researchers and engineers to train standard and novel small and large-scale models for variety of tasks, including foundation models (e.g., CLIP and LLM), object classification, object detection, and semantic segmentation.  

147. <a href="https://github.com/nirdiamant/prompt_engineering">nirdiamant/</a><b><a href="https://github.com/nirdiamant/prompt_engineering">Prompt_Engineering</a></b> ⭐ 7,013    
   A comprehensive collection of tutorials and implementations for Prompt Engineering techniques, ranging from fundamental concepts to advanced strategies.  

148. <a href="https://github.com/k-dense-ai/claude-scientific-skills">k-dense-ai/</a><b><a href="https://github.com/k-dense-ai/claude-scientific-skills">claude-scientific-skills</a></b> ⭐ 6,957    
   A set of ready to use scientific skills for Claude  
   🔗 [k-dense.ai](https://k-dense.ai)  

149. <a href="https://github.com/anthropics/knowledge-work-plugins">anthropics/</a><b><a href="https://github.com/anthropics/knowledge-work-plugins">knowledge-work-plugins</a></b> ⭐ 6,910    
   Knowledge Work Plugins that turn Claude into a specialist for your role, team, and company  

150. <a href="https://github.com/lmcache/lmcache">lmcache/</a><b><a href="https://github.com/lmcache/lmcache">LMCache</a></b> ⭐ 6,765    
   LMCache is an LLM serving engine extension to reduce TTFT and increase throughput, especially under long-context scenarios  
   🔗 [lmcache.ai](https://lmcache.ai/)  

151. <a href="https://github.com/langchain-ai/opengpts">langchain-ai/</a><b><a href="https://github.com/langchain-ai/opengpts">opengpts</a></b> ⭐ 6,757    
   An open source effort to create a similar experience to OpenAI's GPTs and Assistants API.  

152. <a href="https://github.com/arcee-ai/mergekit">arcee-ai/</a><b><a href="https://github.com/arcee-ai/mergekit">mergekit</a></b> ⭐ 6,705    
   Tools for merging pretrained large language models.  

153. <a href="https://github.com/minedojo/voyager">minedojo/</a><b><a href="https://github.com/minedojo/voyager">Voyager</a></b> ⭐ 6,616    
   An Open-Ended Embodied Agent with Large Language Models  
   🔗 [voyager.minedojo.org](https://voyager.minedojo.org/)  

154. <a href="https://github.com/open-compass/opencompass">open-compass/</a><b><a href="https://github.com/open-compass/opencompass">opencompass</a></b> ⭐ 6,595    
   OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.  
   🔗 [opencompass.org.cn](https://opencompass.org.cn/)  

155. <a href="https://github.com/run-llama/rags">run-llama/</a><b><a href="https://github.com/run-llama/rags">rags</a></b> ⭐ 6,532    
   RAGs is a Streamlit app that lets you create a RAG pipeline from a data source using natural language.  

156. <a href="https://github.com/qwenlm/qwen-vl">qwenlm/</a><b><a href="https://github.com/qwenlm/qwen-vl">Qwen-VL</a></b> ⭐ 6,499    
   The official repo of Qwen-VL (通义千问-VL) chat & pretrained large vision language model proposed by Alibaba Cloud.  

157. <a href="https://github.com/yuliang-liu/monkeyocr">yuliang-liu/</a><b><a href="https://github.com/yuliang-liu/monkeyocr">MonkeyOCR</a></b> ⭐ 6,447    
   A lightweight LMM-based Document Parsing Model with a Structure-Recognition-Relation Triplet Paradigm  

158. <a href="https://github.com/nat/openplayground">nat/</a><b><a href="https://github.com/nat/openplayground">openplayground</a></b> ⭐ 6,370    
   An LLM playground you can run on your laptop  

159. <a href="https://github.com/guardrails-ai/guardrails">guardrails-ai/</a><b><a href="https://github.com/guardrails-ai/guardrails">guardrails</a></b> ⭐ 6,300    
   Open-source Python package for specifying structure and type, validating and correcting the outputs of large language models (LLMs)  
   🔗 [www.guardrailsai.com/docs](https://www.guardrailsai.com/docs)  

160. <a href="https://github.com/allenai/olmo">allenai/</a><b><a href="https://github.com/allenai/olmo">OLMo</a></b> ⭐ 6,294    
   OLMo is a repository for training and using AI2's state-of-the-art open language models. It is designed by scientists, for scientists.  
   🔗 [allenai.org/olmo](https://allenai.org/olmo)  

161. <a href="https://github.com/langchain-ai/chat-langchain">langchain-ai/</a><b><a href="https://github.com/langchain-ai/chat-langchain">chat-langchain</a></b> ⭐ 6,228    
   Locally hosted chatbot specifically focused on question answering over the LangChain documentation  
   🔗 [chat.langchain.com](https://chat.langchain.com)  

162. <a href="https://github.com/pytorch-labs/gpt-fast">pytorch-labs/</a><b><a href="https://github.com/pytorch-labs/gpt-fast">gpt-fast</a></b> ⭐ 6,181    
   Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.  

163. <a href="https://github.com/lightning-ai/lit-llama">lightning-ai/</a><b><a href="https://github.com/lightning-ai/lit-llama">lit-llama</a></b> ⭐ 6,093    
   Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.  

164. <a href="https://github.com/linkedin/liger-kernel">linkedin/</a><b><a href="https://github.com/linkedin/liger-kernel">Liger-Kernel</a></b> ⭐ 6,065    
   Efficient Triton Kernels for LLM Training  
   🔗 [linkedin.github.io/liger-kernel](https://linkedin.github.io/Liger-Kernel/)  

165. <a href="https://github.com/microsoft/llmlingua">microsoft/</a><b><a href="https://github.com/microsoft/llmlingua">LLMLingua</a></b> ⭐ 5,784    
   [EMNLP'23, ACL'24] To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.   
   🔗 [llmlingua.com](https://llmlingua.com/)  

166. <a href="https://github.com/microsoft/promptbase">microsoft/</a><b><a href="https://github.com/microsoft/promptbase">promptbase</a></b> ⭐ 5,726    
   promptbase is an evolving collection of resources, best practices, and example scripts for eliciting the best performance from foundation models.  

167. <a href="https://github.com/meta-pytorch/torchtune">meta-pytorch/</a><b><a href="https://github.com/meta-pytorch/torchtune">torchtune</a></b> ⭐ 5,650    
   a PyTorch library for easily authoring, post-training, and experimenting with recipes for SFT, knowledge distillation, DPO, PPO, GRPO, and quantization-aware training  
   🔗 [pytorch.org/torchtune/main](https://pytorch.org/torchtune/main/)  

168. <a href="https://github.com/nvidia/nemo-guardrails">nvidia/</a><b><a href="https://github.com/nvidia/nemo-guardrails">Guardrails</a></b> ⭐ 5,538    
   NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.  
   🔗 [docs.nvidia.com/nemo/guardrails/latest/index.html](https://docs.nvidia.com/nemo/guardrails/latest/index.html)  

169. <a href="https://github.com/openbmb/toolbench">openbmb/</a><b><a href="https://github.com/openbmb/toolbench">ToolBench</a></b> ⭐ 5,492    
   [ICLR'24 spotlight] An open platform for training, serving, and evaluating large language model for tool learning.  
   🔗 [openbmb.github.io/toolbench](https://openbmb.github.io/ToolBench/)  

170. <a href="https://github.com/dsdanielpark/bard-api">dsdanielpark/</a><b><a href="https://github.com/dsdanielpark/bard-api">Bard-API</a></b> ⭐ 5,226    
   The unofficial python package that returns response of Google Bard through cookie value.  
   🔗 [pypi.org/project/bardapi](https://pypi.org/project/bardapi/)  

171. <a href="https://github.com/katanaml/sparrow">katanaml/</a><b><a href="https://github.com/katanaml/sparrow">sparrow</a></b> ⭐ 5,097    
   Sparrow is a solution for efficient data extraction and processing from various documents and images like invoices and receipts  
   🔗 [sparrow.katanaml.io](https://sparrow.katanaml.io)  

172. <a href="https://github.com/agiresearch/aios">agiresearch/</a><b><a href="https://github.com/agiresearch/aios">AIOS</a></b> ⭐ 4,967    
   AIOS, a Large Language Model (LLM) Agent operating system, embeds large language model into Operating Systems (OS) as the brain of the OS, enabling an operating system "with soul" -- an important step towards AGI.  
   🔗 [docs.aios.foundation](https://docs.aios.foundation)  

173. <a href="https://github.com/togethercomputer/redpajama-data">togethercomputer/</a><b><a href="https://github.com/togethercomputer/redpajama-data">RedPajama-Data</a></b> ⭐ 4,922    
   The RedPajama-Data repository contains code for preparing large datasets for training large language models.  

174. <a href="https://github.com/1rgs/jsonformer">1rgs/</a><b><a href="https://github.com/1rgs/jsonformer">jsonformer</a></b> ⭐ 4,891    
   A Bulletproof Way to Generate Structured JSON from Language Models  

175. <a href="https://github.com/h2oai/h2o-llmstudio">h2oai/</a><b><a href="https://github.com/h2oai/h2o-llmstudio">h2o-llmstudio</a></b> ⭐ 4,781    
   H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/  
   🔗 [h2o.ai](https://h2o.ai)  

176. <a href="https://github.com/flashinfer-ai/flashinfer">flashinfer-ai/</a><b><a href="https://github.com/flashinfer-ai/flashinfer">flashinfer</a></b> ⭐ 4,744    
   FlashInfer is a library and kernel generator for Large Language Models that provides high-performance implementation of LLM GPU kernels such as FlashAttention, SparseAttention, PageAttention, Sampling  
   🔗 [flashinfer.ai](https://flashinfer.ai)  

177. <a href="https://github.com/kiln-ai/kiln">kiln-ai/</a><b><a href="https://github.com/kiln-ai/kiln">Kiln</a></b> ⭐ 4,593    
   Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.  
   🔗 [kiln.tech](https://kiln.tech)  

178. <a href="https://github.com/vllm-project/aibrix">vllm-project/</a><b><a href="https://github.com/vllm-project/aibrix">aibrix</a></b> ⭐ 4,584    
   AIBrix delivers a cloud-native solution optimized for deploying, managing, and scaling large language model (LLM) inference, tailored specifically to enterprise needs.  

179. <a href="https://github.com/kyegomez/tree-of-thoughts">kyegomez/</a><b><a href="https://github.com/kyegomez/tree-of-thoughts">tree-of-thoughts</a></b> ⭐ 4,564    
   Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%   
   🔗 [discord.gg/qutxnk2nmf](https://discord.gg/qUtxnK2NMf)  

180. <a href="https://github.com/yizhongw/self-instruct">yizhongw/</a><b><a href="https://github.com/yizhongw/self-instruct">self-instruct</a></b> ⭐ 4,563    
   Aligning pretrained language models with instruction data generated by themselves.  

181. <a href="https://github.com/lm-sys/routellm">lm-sys/</a><b><a href="https://github.com/lm-sys/routellm">RouteLLM</a></b> ⭐ 4,553    
   A framework for serving and evaluating LLM routers - save LLM costs without compromising quality  

182. <a href="https://github.com/marker-inc-korea/autorag">marker-inc-korea/</a><b><a href="https://github.com/marker-inc-korea/autorag">AutoRAG</a></b> ⭐ 4,541    
   AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation  
   🔗 [marker-inc-korea.github.io/autorag](https://marker-inc-korea.github.io/AutoRAG/)  

183. <a href="https://github.com/microsoft/biogpt">microsoft/</a><b><a href="https://github.com/microsoft/biogpt">BioGPT</a></b> ⭐ 4,486    
   Implementation of BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining  

184. <a href="https://github.com/hiyouga/easyr1">hiyouga/</a><b><a href="https://github.com/hiyouga/easyr1">EasyR1</a></b> ⭐ 4,475    
   EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL  
   🔗 [verl.readthedocs.io](https://verl.readthedocs.io)  

185. <a href="https://github.com/llm-attacks/llm-attacks">llm-attacks/</a><b><a href="https://github.com/llm-attacks/llm-attacks">llm-attacks</a></b> ⭐ 4,460    
   This is the official repository for "Universal and Transferable Adversarial Attacks on Aligned Language Models"  
   🔗 [llm-attacks.org](https://llm-attacks.org/)  

186. <a href="https://github.com/turboderp/exllamav2">turboderp/</a><b><a href="https://github.com/turboderp/exllamav2">exllamav2</a></b> ⭐ 4,425    
   A fast inference library for running LLMs locally on modern consumer-class GPUs  

187. <a href="https://github.com/huggingface/text-embeddings-inference">huggingface/</a><b><a href="https://github.com/huggingface/text-embeddings-inference">text-embeddings-inference</a></b> ⭐ 4,417    
   A blazing fast inference solution for text embeddings models  
   🔗 [huggingface.co/docs/text-embeddings-inference/quick_tour](https://huggingface.co/docs/text-embeddings-inference/quick_tour)  

188. <a href="https://github.com/ragapp/ragapp">ragapp/</a><b><a href="https://github.com/ragapp/ragapp">ragapp</a></b> ⭐ 4,393    
   The easiest way to use Agentic RAG in any enterprise  

189. <a href="https://github.com/instruction-tuning-with-gpt-4/gpt-4-llm">instruction-tuning-with-gpt-4/</a><b><a href="https://github.com/instruction-tuning-with-gpt-4/gpt-4-llm">GPT-4-LLM</a></b> ⭐ 4,342    
   Instruction Tuning with GPT-4  
   🔗 [instruction-tuning-with-gpt-4.github.io](https://instruction-tuning-with-gpt-4.github.io/)  

190. <a href="https://github.com/openai/simple-evals">openai/</a><b><a href="https://github.com/openai/simple-evals">simple-evals</a></b> ⭐ 4,314    
   Lightweight library for evaluating language models  

191. <a href="https://github.com/truefoundry/cognita">truefoundry/</a><b><a href="https://github.com/truefoundry/cognita">cognita</a></b> ⭐ 4,314    
   RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry   
   🔗 [cognita.truefoundry.com](https://cognita.truefoundry.com)  

192. <a href="https://github.com/neo4j-labs/llm-graph-builder">neo4j-labs/</a><b><a href="https://github.com/neo4j-labs/llm-graph-builder">llm-graph-builder</a></b> ⭐ 4,294    
   Transform unstructured data into a structured Knowledge Graph stored in Neo4j with LLMs  
   🔗 [llm-graph-builder.neo4jlabs.com](https://llm-graph-builder.neo4jlabs.com/)  

193. <a href="https://github.com/p-e-w/heretic">p-e-w/</a><b><a href="https://github.com/p-e-w/heretic">heretic</a></b> ⭐ 4,286    
   Heretic is a tool that removes censorship from transformer-based LLMs without post-training  

194. <a href="https://github.com/microsoft/lmops">microsoft/</a><b><a href="https://github.com/microsoft/lmops">LMOps</a></b> ⭐ 4,262    
   General technology for enabling AI capabilities w/ LLMs and MLLMs  
   🔗 [aka.ms/generalai](https://aka.ms/GeneralAI)  

195. <a href="https://github.com/pytorch/executorch">pytorch/</a><b><a href="https://github.com/pytorch/executorch">executorch</a></b> ⭐ 4,182    
   An end-to-end solution for enabling on-device inference capabilities across mobile and edge devices including wearables, embedded devices and microcontrollers. It is part of the PyTorch Edge ecosystem and enables efficient deployment of PyTorch models to edge devices.  
   🔗 [executorch.ai](https://executorch.ai)  

196. <a href="https://github.com/mshumer/gpt-llm-trainer">mshumer/</a><b><a href="https://github.com/mshumer/gpt-llm-trainer">gpt-llm-trainer</a></b> ⭐ 4,168    
   Input a description of your task, and the system will generate a dataset, parse it, and fine-tune a LLaMA 2 model for you  

197. <a href="https://github.com/openai/harmony">openai/</a><b><a href="https://github.com/openai/harmony">harmony</a></b> ⭐ 4,149    
   Renderer for the harmony response format to be used with gpt-oss  

198. <a href="https://github.com/eth-sri/lmql">eth-sri/</a><b><a href="https://github.com/eth-sri/lmql">lmql</a></b> ⭐ 4,136    
   A language for constraint-guided and efficient LLM programming.  
   🔗 [lmql.ai](https://lmql.ai)  

199. <a href="https://github.com/deep-agent/r1-v">deep-agent/</a><b><a href="https://github.com/deep-agent/r1-v">R1-V</a></b> ⭐ 4,025    
   We are building a general framework for Reinforcement Learning with Verifiable Rewards (RLVR) in VLM.  RLVR outperforms chain-of-thought supervised fine-tuning (CoT-SFT) in both effectiveness and out-of-distribution (OOD) robustness for vision language models.  

200. <a href="https://github.com/sylphai-inc/adalflow">sylphai-inc/</a><b><a href="https://github.com/sylphai-inc/adalflow">AdalFlow</a></b> ⭐ 3,998    
   Unified auto-differentiative framework for both zero-shot prompt optimization and few-shot optimization. It advances existing auto-optimization research, including Text-Grad and DsPy  
   🔗 [adalflow.sylph.ai](http://adalflow.sylph.ai/)  

201. <a href="https://github.com/defog-ai/sqlcoder">defog-ai/</a><b><a href="https://github.com/defog-ai/sqlcoder">sqlcoder</a></b> ⭐ 3,990    
   SoTA LLM for converting natural language questions to SQL queries  

202. <a href="https://github.com/meta-llama/purplellama">meta-llama/</a><b><a href="https://github.com/meta-llama/purplellama">PurpleLlama</a></b> ⭐ 3,988    
   Set of tools to assess and improve LLM security. An umbrella project to bring together tools and evals to help the community build responsibly with open genai models.  

203. <a href="https://github.com/bclavie/ragatouille">bclavie/</a><b><a href="https://github.com/bclavie/ragatouille">RAGatouille</a></b> ⭐ 3,828    
   Bridging the gap between state-of-the-art research and alchemical RAG pipeline practices.  

204. <a href="https://github.com/ravenscroftj/turbopilot">ravenscroftj/</a><b><a href="https://github.com/ravenscroftj/turbopilot">turbopilot</a></b> ⭐ 3,808    
   Turbopilot is an open source large-language-model based code completion engine that runs locally on CPU  

205. <a href="https://github.com/lightning-ai/litserve">lightning-ai/</a><b><a href="https://github.com/lightning-ai/litserve">LitServe</a></b> ⭐ 3,790    
   A minimal Python framework for building custom AI inference servers with full control over logic, batching, and scaling.  
   🔗 [lightning.ai/litserve?utm_source=litserve_readme&utm_medium=referral&utm_campaign=litserve_readme](https://lightning.ai/litserve?utm_source=litserve_readme&utm_medium=referral&utm_campaign=litserve_readme)  

206. <a href="https://github.com/agenta-ai/agenta">agenta-ai/</a><b><a href="https://github.com/agenta-ai/agenta">agenta</a></b> ⭐ 3,787    
   The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.  
   🔗 [www.agenta.ai](http://www.agenta.ai)  

207. <a href="https://github.com/microsoft/promptwizard">microsoft/</a><b><a href="https://github.com/microsoft/promptwizard">PromptWizard</a></b> ⭐ 3,744    
   PromptWizard is a discrete prompt optimization framework that employs a self-evolving mechanism where the LLM generates, critiques, and refines its own prompts and examples  

208. <a href="https://github.com/mmabrouk/chatgpt-wrapper">mmabrouk/</a><b><a href="https://github.com/mmabrouk/chatgpt-wrapper">llm-workflow-engine</a></b> ⭐ 3,718    
   Power CLI and Workflow manager for LLMs (core package)  

209. <a href="https://github.com/predibase/lorax">predibase/</a><b><a href="https://github.com/predibase/lorax">lorax</a></b> ⭐ 3,682    
   Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs  
   🔗 [loraexchange.ai](https://loraexchange.ai)  

210. <a href="https://github.com/next-gpt/next-gpt">next-gpt/</a><b><a href="https://github.com/next-gpt/next-gpt">NExT-GPT</a></b> ⭐ 3,614    
   Code and models for ICML 2024 paper, NExT-GPT: Any-to-Any Multimodal Large Language Model  
   🔗 [next-gpt.github.io](https://next-gpt.github.io/)  

211. <a href="https://github.com/evolvinglmms-lab/lmms-eval">evolvinglmms-lab/</a><b><a href="https://github.com/evolvinglmms-lab/lmms-eval">lmms-eval</a></b> ⭐ 3,588    
   One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks  
   🔗 [www.lmms-lab.com](https://www.lmms-lab.com)  

212. <a href="https://github.com/huggingface/smollm">huggingface/</a><b><a href="https://github.com/huggingface/smollm">smollm</a></b> ⭐ 3,575    
   Everything about the SmolLM and SmolVLM family of models   
   🔗 [huggingface.co/huggingfacetb](https://huggingface.co/HuggingFaceTB)  

213. <a href="https://github.com/verazuo/jailbreak_llms">verazuo/</a><b><a href="https://github.com/verazuo/jailbreak_llms">jailbreak_llms</a></b> ⭐ 3,534    
   Official repo for the ACM CCS 2024 paper "Do Anything Now'': Characterizing and Evaluating In-The-Wild Jailbreak Prompts  
   🔗 [jailbreak-llms.xinyueshen.me](https://jailbreak-llms.xinyueshen.me/)  

214. <a href="https://github.com/minimaxir/simpleaichat">minimaxir/</a><b><a href="https://github.com/minimaxir/simpleaichat">simpleaichat</a></b> ⭐ 3,520    
   Python package for easily interfacing with chat apps, with robust features and minimal code complexity.  

215. <a href="https://github.com/iryna-kondr/scikit-llm">iryna-kondr/</a><b><a href="https://github.com/iryna-kondr/scikit-llm">scikit-llm</a></b> ⭐ 3,491    
   Seamlessly integrate LLMs into scikit-learn.  
   🔗 [beastbyte.ai](https://beastbyte.ai/)  

216. <a href="https://github.com/jaymody/picogpt">jaymody/</a><b><a href="https://github.com/jaymody/picogpt">picoGPT</a></b> ⭐ 3,438    
   An unnecessarily tiny implementation of GPT-2 in NumPy.  

217. <a href="https://github.com/mit-han-lab/llm-awq">mit-han-lab/</a><b><a href="https://github.com/mit-han-lab/llm-awq">llm-awq</a></b> ⭐ 3,424    
   AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration  

218. <a href="https://github.com/minimaxir/gpt-2-simple">minimaxir/</a><b><a href="https://github.com/minimaxir/gpt-2-simple">gpt-2-simple</a></b> ⭐ 3,406    
   Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts  

219. <a href="https://github.com/novasky-ai/skythought">novasky-ai/</a><b><a href="https://github.com/novasky-ai/skythought">SkyThought</a></b> ⭐ 3,369    
   Sky-T1: Train your own O1 preview model within $450  
   🔗 [novasky-ai.github.io](https://novasky-ai.github.io/)  

220. <a href="https://github.com/deep-diver/llm-as-chatbot">deep-diver/</a><b><a href="https://github.com/deep-diver/llm-as-chatbot">LLM-As-Chatbot</a></b> ⭐ 3,332    
   LLM as a Chatbot Service  

221. <a href="https://github.com/zou-group/textgrad">zou-group/</a><b><a href="https://github.com/zou-group/textgrad">textgrad</a></b> ⭐ 3,319    
   TextGrad is a framework building automatic differentiation by implementing backpropagation through text feedback provided by LLMs, strongly building on the gradient metaphor.  
   🔗 [textgrad.com](http://textgrad.com/)  

222. <a href="https://github.com/luodian/otter">luodian/</a><b><a href="https://github.com/luodian/otter">Otter</a></b> ⭐ 3,286    
   🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.  
   🔗 [otter-ntu.github.io](https://otter-ntu.github.io/)  

223. <a href="https://github.com/ruc-nlpir/flashrag">ruc-nlpir/</a><b><a href="https://github.com/ruc-nlpir/flashrag">FlashRAG</a></b> ⭐ 3,277    
   FlashRAG is a Python toolkit for the reproduction and development of RAG research. Our toolkit includes 36 pre-processed benchmark RAG datasets and 15 state-of-the-art RAG algorithms.  
   🔗 [arxiv.org/abs/2405.13576](https://arxiv.org/abs/2405.13576)  

224. <a href="https://github.com/deepseek-ai/engram">deepseek-ai/</a><b><a href="https://github.com/deepseek-ai/engram">Engram</a></b> ⭐ 3,252    
   Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models.  

225. <a href="https://github.com/googleapis/python-genai">googleapis/</a><b><a href="https://github.com/googleapis/python-genai">python-genai</a></b> ⭐ 3,251    
   Google Gen AI Python SDK provides an interface for developers to integrate Google's generative models into their Python applications.  
   🔗 [googleapis.github.io/python-genai](https://googleapis.github.io/python-genai/)  

226. <a href="https://github.com/cohere-ai/cohere-toolkit">cohere-ai/</a><b><a href="https://github.com/cohere-ai/cohere-toolkit">cohere-toolkit</a></b> ⭐ 3,156    
   Cohere Toolkit is a collection of prebuilt components enabling users to quickly build and deploy RAG applications.  

227. <a href="https://github.com/microsoft/torchscale">microsoft/</a><b><a href="https://github.com/microsoft/torchscale">torchscale</a></b> ⭐ 3,132    
   Foundation Architecture for (M)LLMs  
   🔗 [aka.ms/generalai](https://aka.ms/GeneralAI)  

228. <a href="https://github.com/mistralai/mistral-finetune">mistralai/</a><b><a href="https://github.com/mistralai/mistral-finetune">mistral-finetune</a></b> ⭐ 3,068    
   A light-weight codebase that enables memory-efficient and performant finetuning of Mistral's models. It is based on LoRA.  

229. <a href="https://github.com/argilla-io/distilabel">argilla-io/</a><b><a href="https://github.com/argilla-io/distilabel">distilabel</a></b> ⭐ 3,065    
   Distilabel is the framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.  
   🔗 [distilabel.argilla.io](https://distilabel.argilla.io)  

230. <a href="https://github.com/truera/trulens">truera/</a><b><a href="https://github.com/truera/trulens">trulens</a></b> ⭐ 3,057    
   Evaluation and Tracking for LLM Experiments and AI Agents  
   🔗 [www.trulens.org](https://www.trulens.org/)  

231. <a href="https://github.com/noahshinn/reflexion">noahshinn/</a><b><a href="https://github.com/noahshinn/reflexion">reflexion</a></b> ⭐ 3,042    
   [NeurIPS 2023] Reflexion: Language Agents with Verbal Reinforcement Learning  

232. <a href="https://github.com/hegelai/prompttools">hegelai/</a><b><a href="https://github.com/hegelai/prompttools">prompttools</a></b> ⭐ 2,998    
   Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).  
   🔗 [prompttools.readthedocs.io](http://prompttools.readthedocs.io)  

233. <a href="https://github.com/li-plus/chatglm.cpp">li-plus/</a><b><a href="https://github.com/li-plus/chatglm.cpp">chatglm.cpp</a></b> ⭐ 2,968    
   C++ implementation of ChatGLM-6B & ChatGLM2-6B & ChatGLM3 & GLM4(V)  

234. <a href="https://github.com/freedomintelligence/llmzoo">freedomintelligence/</a><b><a href="https://github.com/freedomintelligence/llmzoo">LLMZoo</a></b> ⭐ 2,951    
   ⚡LLM Zoo is a project that provides data, models, and evaluation benchmark for large language models.⚡  

235. <a href="https://github.com/baichuan-inc/baichuan-13b">baichuan-inc/</a><b><a href="https://github.com/baichuan-inc/baichuan-13b">Baichuan-13B</a></b> ⭐ 2,950    
   A 13B large language model developed by Baichuan Intelligent Technology  
   🔗 [huggingface.co/baichuan-inc/baichuan-13b-chat](https://huggingface.co/baichuan-inc/Baichuan-13B-Chat)  

236. <a href="https://github.com/eladlev/autoprompt">eladlev/</a><b><a href="https://github.com/eladlev/autoprompt">AutoPrompt</a></b> ⭐ 2,915    
   A prompt optimization framework designed to enhance and perfect your prompts for real-world use cases  

237. <a href="https://github.com/deepseek-ai/dualpipe">deepseek-ai/</a><b><a href="https://github.com/deepseek-ai/dualpipe">DualPipe</a></b> ⭐ 2,910    
   DualPipe is an innovative bidirectional pipeline parallelism algorithm introduced in the DeepSeek-V3 Technical Report.  

238. <a href="https://github.com/alpha-vllm/llama2-accessory">alpha-vllm/</a><b><a href="https://github.com/alpha-vllm/llama2-accessory">LLaMA2-Accessory</a></b> ⭐ 2,801    
   An Open-source Toolkit for LLM Development  
   🔗 [llama2-accessory.readthedocs.io](https://llama2-accessory.readthedocs.io/)  

239. <a href="https://github.com/juncongmoo/pyllama">juncongmoo/</a><b><a href="https://github.com/juncongmoo/pyllama">pyllama</a></b> ⭐ 2,799    
   LLaMA: Open and Efficient Foundation Language Models  

240. <a href="https://github.com/janhq/cortex.cpp">janhq/</a><b><a href="https://github.com/janhq/cortex.cpp">cortex.cpp</a></b> ⭐ 2,761    
   Cortex is a Local AI API Platform that is used to run and customize LLMs.  
   🔗 [cortex.so](https://cortex.so)  

241. <a href="https://github.com/langwatch/langwatch">langwatch/</a><b><a href="https://github.com/langwatch/langwatch">langwatch</a></b> ⭐ 2,742    
   LangWatch is an open platform for Observing, Evaluating and Optimizing your LLM and Agentic applications.  
   🔗 [langwatch.ai](https://langwatch.ai)  

242. <a href="https://github.com/paperswithcode/galai">paperswithcode/</a><b><a href="https://github.com/paperswithcode/galai">galai</a></b> ⭐ 2,738    
   Model API for GALACTICA  

243. <a href="https://github.com/roboflow/maestro">roboflow/</a><b><a href="https://github.com/roboflow/maestro">maestro</a></b> ⭐ 2,656    
   streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL  
   🔗 [maestro.roboflow.com](https://maestro.roboflow.com)  

244. <a href="https://github.com/vllm-project/llm-compressor">vllm-project/</a><b><a href="https://github.com/vllm-project/llm-compressor">llm-compressor</a></b> ⭐ 2,615    
   Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM  
   🔗 [docs.vllm.ai/projects/llm-compressor](https://docs.vllm.ai/projects/llm-compressor)  

245. <a href="https://github.com/spcl/graph-of-thoughts">spcl/</a><b><a href="https://github.com/spcl/graph-of-thoughts">graph-of-thoughts</a></b> ⭐ 2,587    
   Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"  
   🔗 [arxiv.org/pdf/2308.09687.pdf](https://arxiv.org/pdf/2308.09687.pdf)  

246. <a href="https://github.com/intel/neural-compressor">intel/</a><b><a href="https://github.com/intel/neural-compressor">neural-compressor</a></b> ⭐ 2,573    
   SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, and ONNX Runtime  
   🔗 [intel.github.io/neural-compressor](https://intel.github.io/neural-compressor/)  

247. <a href="https://github.com/ofa-sys/ofa">ofa-sys/</a><b><a href="https://github.com/ofa-sys/ofa">OFA</a></b> ⭐ 2,552    
   Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework  

248. <a href="https://github.com/young-geng/easylm">young-geng/</a><b><a href="https://github.com/young-geng/easylm">EasyLM</a></b> ⭐ 2,507    
   Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.  

249. <a href="https://github.com/huggingface/nanotron">huggingface/</a><b><a href="https://github.com/huggingface/nanotron">nanotron</a></b> ⭐ 2,479    
   Minimalistic large language model 3D-parallelism training  

250. <a href="https://github.com/illuin-tech/colpali">illuin-tech/</a><b><a href="https://github.com/illuin-tech/colpali">colpali</a></b> ⭐ 2,468    
   Code used for training the vision retrievers in the ColPali: Efficient Document Retrieval with Vision Language Models paper  
   🔗 [huggingface.co/vidore](https://huggingface.co/vidore)  

251. <a href="https://github.com/protectai/llm-guard">protectai/</a><b><a href="https://github.com/protectai/llm-guard">llm-guard</a></b> ⭐ 2,442    
   Sanitization, detection of harmful language, prevention of data leakage, and resistance against prompt injection attacks for LLMs  
   🔗 [protectai.github.io/llm-guard](https://protectai.github.io/llm-guard/)  

252. <a href="https://github.com/azure-samples/graphrag-accelerator">azure-samples/</a><b><a href="https://github.com/azure-samples/graphrag-accelerator">graphrag-accelerator</a></b> ⭐ 2,410    
   One-click deploy of a Knowledge Graph powered RAG (GraphRAG) in Azure  
   🔗 [github.com/microsoft/graphrag](https://github.com/microsoft/graphrag)  

253. <a href="https://github.com/civitai/sd_civitai_extension">civitai/</a><b><a href="https://github.com/civitai/sd_civitai_extension">sd_civitai_extension</a></b> ⭐ 2,379    
   All of the Civitai models inside Automatic 1111 Stable Diffusion Web UI  

254. <a href="https://github.com/uptrain-ai/uptrain">uptrain-ai/</a><b><a href="https://github.com/uptrain-ai/uptrain">uptrain</a></b> ⭐ 2,338    
   An open-source unified platform to evaluate and improve Generative AI applications. Provide grades for 20+ preconfigured evaluations (covering language, code, embedding use cases)  
   🔗 [uptrain.ai](https://uptrain.ai/)  

255. <a href="https://github.com/facebookresearch/large_concept_model">facebookresearch/</a><b><a href="https://github.com/facebookresearch/large_concept_model">large_concept_model</a></b> ⭐ 2,330    
   Large Concept Models: Language modeling in a sentence representation space  

256. <a href="https://github.com/akariasai/self-rag">akariasai/</a><b><a href="https://github.com/akariasai/self-rag">self-rag</a></b> ⭐ 2,307    
   This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.  
   🔗 [selfrag.github.io](https://selfrag.github.io/)  

257. <a href="https://github.com/casper-hansen/autoawq">casper-hansen/</a><b><a href="https://github.com/casper-hansen/autoawq">AutoAWQ</a></b> ⭐ 2,307    
   AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:  
   🔗 [casper-hansen.github.io/autoawq](https://casper-hansen.github.io/AutoAWQ/)  

258. <a href="https://github.com/huggingface/lighteval">huggingface/</a><b><a href="https://github.com/huggingface/lighteval">lighteval</a></b> ⭐ 2,280    
   LightEval is a lightweight LLM evaluation suite that Hugging Face has been using internally with the recently released LLM data processing library datatrove and LLM training library nanotron.  
   🔗 [huggingface.co/docs/lighteval/en/index](https://huggingface.co/docs/lighteval/en/index)  

259. <a href="https://github.com/ist-daslab/gptq">ist-daslab/</a><b><a href="https://github.com/ist-daslab/gptq">gptq</a></b> ⭐ 2,247    
   Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".  
   🔗 [arxiv.org/abs/2210.17323](https://arxiv.org/abs/2210.17323)  

260. <a href="https://github.com/microsoft/megatron-deepspeed">microsoft/</a><b><a href="https://github.com/microsoft/megatron-deepspeed">Megatron-DeepSpeed</a></b> ⭐ 2,220    
   Ongoing research training transformer language models at scale, including: BERT & GPT-2  

261. <a href="https://github.com/gepa-ai/gepa">gepa-ai/</a><b><a href="https://github.com/gepa-ai/gepa">gepa</a></b> ⭐ 2,154    
   GEPA (Genetic-Pareto) is a framework for optimizing arbitrary systems composed of text components—like AI prompts, code snippets, or textual specs—against any evaluation metric  

262. <a href="https://github.com/epfllm/meditron">epfllm/</a><b><a href="https://github.com/epfllm/meditron">meditron</a></b> ⭐ 2,136    
   Meditron is a suite of open-source medical Large Language Models (LLMs).  
   🔗 [huggingface.co/epfl-llm](https://huggingface.co/epfl-llm)  

263. <a href="https://github.com/tairov/llama2.mojo">tairov/</a><b><a href="https://github.com/tairov/llama2.mojo">llama2.mojo</a></b> ⭐ 2,115    
   Inference Llama 2 in one file of pure 🔥  
   🔗 [www.modular.com/blog/community-spotlight-how-i-built-llama2-by-aydyn-tairov](https://www.modular.com/blog/community-spotlight-how-i-built-llama2-by-aydyn-tairov)  

264. <a href="https://github.com/ai-hypercomputer/maxtext">ai-hypercomputer/</a><b><a href="https://github.com/ai-hypercomputer/maxtext">maxtext</a></b> ⭐ 2,106    
   MaxText is a high performance, highly scalable, open-source LLM written in pure Python/Jax and targeting Google Cloud TPUs and GPUs for training and inference.  
   🔗 [maxtext.readthedocs.io](https://maxtext.readthedocs.io)  

265. <a href="https://github.com/facebookresearch/chameleon">facebookresearch/</a><b><a href="https://github.com/facebookresearch/chameleon">chameleon</a></b> ⭐ 2,081    
   Repository for Meta Chameleon, a mixed-modal early-fusion foundation model from FAIR.  
   🔗 [arxiv.org/abs/2405.09818](https://arxiv.org/abs/2405.09818)  

266. <a href="https://github.com/openai/image-gpt">openai/</a><b><a href="https://github.com/openai/image-gpt">image-gpt</a></b> ⭐ 2,079    
   Archived. Code and models from the paper "Generative Pretraining from Pixels"  

267. <a href="https://github.com/lucidrains/toolformer-pytorch">lucidrains/</a><b><a href="https://github.com/lucidrains/toolformer-pytorch">toolformer-pytorch</a></b> ⭐ 2,057    
   Implementation of Toolformer, Language Models That Can Use Tools, by MetaAI  

268. <a href="https://github.com/google-gemini/genai-processors">google-gemini/</a><b><a href="https://github.com/google-gemini/genai-processors">genai-processors</a></b> ⭐ 2,043    
   GenAI Processors is a lightweight Python library that enables efficient, parallel content processing.  

269. <a href="https://github.com/huggingface/picotron">huggingface/</a><b><a href="https://github.com/huggingface/picotron">picotron</a></b> ⭐ 2,008    
   Minimalist & most-hackable repository for pre-training Llama-like models with 4D Parallelism (Data, Tensor, Pipeline, Context parallel)  

270. <a href="https://github.com/neulab/prompt2model">neulab/</a><b><a href="https://github.com/neulab/prompt2model">prompt2model</a></b> ⭐ 2,006    
   A system that takes a natural language task description to train a small special-purpose model that is conducive for deployment.  

271. <a href="https://github.com/minishlab/model2vec">minishlab/</a><b><a href="https://github.com/minishlab/model2vec">model2vec</a></b> ⭐ 1,988    
   Model2Vec is a technique to turn any sentence transformer into a really small static model, reducing model size by 15x and making the models up to 500x faster, with a small drop in performance  
   🔗 [minish.ai/packages/model2vec](https://minish.ai/packages/model2vec)  

272. <a href="https://github.com/noamgat/lm-format-enforcer">noamgat/</a><b><a href="https://github.com/noamgat/lm-format-enforcer">lm-format-enforcer</a></b> ⭐ 1,979    
   Enforce the output format (JSON Schema, Regex etc) of a language model  

273. <a href="https://github.com/agentops-ai/tokencost">agentops-ai/</a><b><a href="https://github.com/agentops-ai/tokencost">tokencost</a></b> ⭐ 1,914    
   Easy token price estimates for 400+ LLMs. TokenOps.  
   🔗 [agentops.ai](https://agentops.ai)  

274. <a href="https://github.com/aiming-lab/simplemem">aiming-lab/</a><b><a href="https://github.com/aiming-lab/simplemem">SimpleMem</a></b> ⭐ 1,871    
   SimpleMem addresses the fundamental challenge of efficient long-term memory for LLM agents through a three-stage pipeline grounded in Semantic Lossless Compression.  

275. <a href="https://github.com/qwenlm/qwen-audio">qwenlm/</a><b><a href="https://github.com/qwenlm/qwen-audio">Qwen-Audio</a></b> ⭐ 1,865    
   The official repo of Qwen-Audio (通义千问-Audio) chat & pretrained large audio language model proposed by Alibaba Cloud.  

276. <a href="https://github.com/ray-project/llm-applications">ray-project/</a><b><a href="https://github.com/ray-project/llm-applications">llm-applications</a></b> ⭐ 1,844    
   A comprehensive guide to building RAG-based LLM applications for production.  

277. <a href="https://github.com/openai/gpt-discord-bot">openai/</a><b><a href="https://github.com/openai/gpt-discord-bot">gpt-discord-bot</a></b> ⭐ 1,831    
   Example Discord bot written in Python that uses the completions API to have conversations with the `text-davinci-003` model, and the moderations API to filter the messages.  

278. <a href="https://github.com/jennyzzt/dgm">jennyzzt/</a><b><a href="https://github.com/jennyzzt/dgm">dgm</a></b> ⭐ 1,800    
   Self-improving system that iteratively modifies its own code and empirically validates each change  

279. <a href="https://github.com/1rgs/nanocode">1rgs/</a><b><a href="https://github.com/1rgs/nanocode">nanocode</a></b> ⭐ 1,669    
   Minimal Claude Code alternative. Single Python file, zero dependencies, ~250 lines.  

280. <a href="https://github.com/alexzhang13/rlm">alexzhang13/</a><b><a href="https://github.com/alexzhang13/rlm">rlm</a></b> ⭐ 1,668    
   Recursive Language Models (RLMs) are a task-agnostic inference paradigm for language models (LMs) to handle near-infinite length contexts  
   🔗 [arxiv.org/abs/2512.24601v1](https://arxiv.org/abs/2512.24601v1)  

281. <a href="https://github.com/meetkai/functionary">meetkai/</a><b><a href="https://github.com/meetkai/functionary">functionary</a></b> ⭐ 1,592    
   Chat language model that can use tools and interpret the results  

282. <a href="https://github.com/answerdotai/rerankers">answerdotai/</a><b><a href="https://github.com/answerdotai/rerankers">rerankers</a></b> ⭐ 1,590    
   Welcome to rerankers! Our goal is to provide users with a simple API to use any reranking models.  

283. <a href="https://github.com/jina-ai/thinkgpt">jina-ai/</a><b><a href="https://github.com/jina-ai/thinkgpt">thinkgpt</a></b> ⭐ 1,583    
   Agent techniques to augment your LLM and push it beyong its limits  

284. <a href="https://github.com/leochlon/hallbayes">leochlon/</a><b><a href="https://github.com/leochlon/hallbayes">pythea</a></b> ⭐ 1,578    
   Hallucination Risk Calculator & Prompt Re-engineering Toolkit (OpenAI-only)  

285. <a href="https://github.com/run-llama/semtools">run-llama/</a><b><a href="https://github.com/run-llama/semtools">semtools</a></b> ⭐ 1,563    
   Semantic search and document parsing tools for the command line  

286. <a href="https://github.com/chatarena/chatarena">chatarena/</a><b><a href="https://github.com/chatarena/chatarena">chatarena</a></b> ⭐ 1,529    
   ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.  

287. <a href="https://github.com/nirdiamant/controllable-rag-agent">nirdiamant/</a><b><a href="https://github.com/nirdiamant/controllable-rag-agent">Controllable-RAG-Agent</a></b> ⭐ 1,529    
   An advanced Retrieval-Augmented Generation (RAG) solution designed to tackle complex questions that simple semantic similarity-based retrieval cannot solve  

288. <a href="https://github.com/run-llama/llama-lab">run-llama/</a><b><a href="https://github.com/run-llama/llama-lab">llama-lab</a></b> ⭐ 1,514    
   Llama Lab is a repo dedicated to building cutting-edge projects using LlamaIndex  

289. <a href="https://github.com/mlc-ai/xgrammar">mlc-ai/</a><b><a href="https://github.com/mlc-ai/xgrammar">xgrammar</a></b> ⭐ 1,502    
   XGrammar is an open-source library for efficient, flexible, and portable structured generation. It supports general context-free grammar to enable a broad range of structures while bringing careful system optimizations to enable fast executions.  
   🔗 [xgrammar.mlc.ai/docs](https://xgrammar.mlc.ai/docs)  

290. <a href="https://github.com/cstankonrad/long_llama">cstankonrad/</a><b><a href="https://github.com/cstankonrad/long_llama">long_llama</a></b> ⭐ 1,463    
   LongLLaMA is a large language model capable of handling long contexts. It is based on OpenLLaMA and fine-tuned with the Focused Transformer (FoT) method.  

291. <a href="https://github.com/farizrahman4u/loopgpt">farizrahman4u/</a><b><a href="https://github.com/farizrahman4u/loopgpt">loopgpt</a></b> ⭐ 1,459    
   Re-implementation of Auto-GPT as a python package, written with modularity and extensibility in mind.  

292. <a href="https://github.com/sumandora/remove-refusals-with-transformers">sumandora/</a><b><a href="https://github.com/sumandora/remove-refusals-with-transformers">remove-refusals-with-transformers</a></b> ⭐ 1,445    
   A proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens  

293. <a href="https://github.com/mlfoundations/dclm">mlfoundations/</a><b><a href="https://github.com/mlfoundations/dclm">dclm</a></b> ⭐ 1,409    
   DataComp for Language Models  

294. <a href="https://github.com/facebookresearch/mobilellm">facebookresearch/</a><b><a href="https://github.com/facebookresearch/mobilellm">MobileLLM</a></b> ⭐ 1,405    
   Training code of MobileLLM introduced in our work: "MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases"  

295. <a href="https://github.com/protectai/rebuff">protectai/</a><b><a href="https://github.com/protectai/rebuff">rebuff</a></b> ⭐ 1,399    
   Rebuff is designed to protect AI applications from prompt injection (PI) attacks through a multi-layered defense  
   🔗 [playground.rebuff.ai](https://playground.rebuff.ai)  

296. <a href="https://github.com/explosion/spacy-llm">explosion/</a><b><a href="https://github.com/explosion/spacy-llm">spacy-llm</a></b> ⭐ 1,361    
   🦙 Integrating LLMs into structured NLP pipelines  
   🔗 [spacy.io/usage/large-language-models](https://spacy.io/usage/large-language-models)  

297. <a href="https://github.com/deepseek-ai/eplb">deepseek-ai/</a><b><a href="https://github.com/deepseek-ai/eplb">EPLB</a></b> ⭐ 1,336    
   Expert Parallelism Load Balancer across GPUs  

298. <a href="https://github.com/keirp/automatic_prompt_engineer">keirp/</a><b><a href="https://github.com/keirp/automatic_prompt_engineer">automatic_prompt_engineer</a></b> ⭐ 1,336    
   This repo contains code for the paper "Large Language Models Are Human-Level Prompt Engineers"  

299. <a href="https://github.com/hao-ai-lab/lookaheaddecoding">hao-ai-lab/</a><b><a href="https://github.com/hao-ai-lab/lookaheaddecoding">LookaheadDecoding</a></b> ⭐ 1,315    
   Break the Sequential Dependency of LLM Inference Using Lookahead Decoding  
   🔗 [arxiv.org/abs/2402.02057](https://arxiv.org/abs/2402.02057)  

300. <a href="https://github.com/centerforaisafety/hle">centerforaisafety/</a><b><a href="https://github.com/centerforaisafety/hle">hle</a></b> ⭐ 1,312    
   Humanity's Last Exam (HLE) is a multi-modal benchmark at the frontier of human knowledge, designed to be the final closed-ended academic benchmark of its kind with broad subject coverage  
   🔗 [lastexam.ai](https://lastexam.ai)  

301. <a href="https://github.com/ray-project/ray-llm">ray-project/</a><b><a href="https://github.com/ray-project/ray-llm">ray-llm</a></b> ⭐ 1,264    
   RayLLM - LLMs on Ray (Archived). Read README for more info.  
   🔗 [docs.ray.io/en/latest](https://docs.ray.io/en/latest/)  

302. <a href="https://github.com/srush/minichain">srush/</a><b><a href="https://github.com/srush/minichain">MiniChain</a></b> ⭐ 1,235    
   A tiny library for coding with large language models.  
   🔗 [srush-minichain.hf.space](https://srush-minichain.hf.space/)  

303. <a href="https://github.com/nousresearch/hermes-function-calling">nousresearch/</a><b><a href="https://github.com/nousresearch/hermes-function-calling">Hermes-Function-Calling</a></b> ⭐ 1,188    
   Code for the Hermes Pro Large Language Model to perform function calling based on the provided schema. It allows users to query the model and retrieve information related to stock prices, company fundamentals, financial statements  

304. <a href="https://github.com/cagostino/npcsh">cagostino/</a><b><a href="https://github.com/cagostino/npcsh">npcpy</a></b> ⭐ 1,177    
   This repo leverages the power of LLMs to understand your natural language commands and questions, executing tasks, answering queries, and providing relevant information from local files and the web.  

305. <a href="https://github.com/cyberark/fuzzyai">cyberark/</a><b><a href="https://github.com/cyberark/fuzzyai">FuzzyAI</a></b> ⭐ 1,155    
   A powerful tool for automated LLM fuzzing. It is designed to help developers and security researchers identify and mitigate potential jailbreaks in their LLM APIs.  

306. <a href="https://github.com/ibm/dromedary">ibm/</a><b><a href="https://github.com/ibm/dromedary">Dromedary</a></b> ⭐ 1,144    
   Dromedary: towards helpful, ethical and reliable LLMs.  

307. <a href="https://github.com/lupantech/chameleon-llm">lupantech/</a><b><a href="https://github.com/lupantech/chameleon-llm">chameleon-llm</a></b> ⭐ 1,139    
   Codes for "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models".  
   🔗 [chameleon-llm.github.io](https://chameleon-llm.github.io)  

308. <a href="https://github.com/safety-research/bloom">safety-research/</a><b><a href="https://github.com/safety-research/bloom">bloom</a></b> ⭐ 1,132    
   Bloom generates evaluation suites that probe LLMs for specific behaviors (sycophancy, self-preservation, political bias, etc.)  

309. <a href="https://github.com/utkusen/promptmap">utkusen/</a><b><a href="https://github.com/utkusen/promptmap">promptmap</a></b> ⭐ 1,098    
   Vulnerability scanning tool that automatically tests prompt injection attacks on your LLM applications. It analyzes your LLM system prompts, runs them, and sends attack prompts to them.  

310. <a href="https://github.com/rlancemartin/auto-evaluator">rlancemartin/</a><b><a href="https://github.com/rlancemartin/auto-evaluator">auto-evaluator</a></b> ⭐ 1,091    
   Evaluation tool for LLM QA chains  
   🔗 [autoevaluator.langchain.com](https://autoevaluator.langchain.com/)  

311. <a href="https://github.com/datadreamer-dev/datadreamer">datadreamer-dev/</a><b><a href="https://github.com/datadreamer-dev/datadreamer">DataDreamer</a></b> ⭐ 1,088    
   DataDreamer is a powerful open-source Python library for prompting, synthetic data generation, and training workflows. It is designed to be simple, extremely efficient, and research-grade.  
   🔗 [datadreamer.dev](https://datadreamer.dev)  

312. <a href="https://github.com/ctlllll/llm-toolmaker">ctlllll/</a><b><a href="https://github.com/ctlllll/llm-toolmaker">LLM-ToolMaker</a></b> ⭐ 1,056    
   Large Language Models as Tool Makers  

313. <a href="https://github.com/wandb/weave">wandb/</a><b><a href="https://github.com/wandb/weave">weave</a></b> ⭐ 1,047    
   Weave is a toolkit for developing AI-powered applications, built by Weights & Biases.  
   🔗 [wandb.me/weave](https://wandb.me/weave)  

314. <a href="https://github.com/prometheus-eval/prometheus-eval">prometheus-eval/</a><b><a href="https://github.com/prometheus-eval/prometheus-eval">prometheus-eval</a></b> ⭐ 1,032    
   Evaluate your LLM's response with Prometheus and GPT4 💯  

315. <a href="https://github.com/pinecone-io/canopy">pinecone-io/</a><b><a href="https://github.com/pinecone-io/canopy">canopy</a></b> ⭐ 1,027    
   Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone  
   🔗 [www.pinecone.io](https://www.pinecone.io/)  

316. <a href="https://github.com/huggingface/optimum-nvidia">huggingface/</a><b><a href="https://github.com/huggingface/optimum-nvidia">optimum-nvidia</a></b> ⭐ 1,027    
   Optimum-NVIDIA delivers the best inference performance on the NVIDIA platform through Hugging Face. Run LLaMA 2 at 1,200 tokens/second (up to 28x faster than the framework)  

317. <a href="https://github.com/microsoft/llama-2-onnx">microsoft/</a><b><a href="https://github.com/microsoft/llama-2-onnx">Llama-2-Onnx</a></b> ⭐ 1,026    
   A Microsoft optimized version of the Llama 2 model, available from Meta  

318. <a href="https://github.com/nomic-ai/pygpt4all">nomic-ai/</a><b><a href="https://github.com/nomic-ai/pygpt4all">pygpt4all</a></b> ⭐ 1,016    
   Official supported Python bindings for llama.cpp + gpt4all  
   🔗 [nomic-ai.github.io/pygpt4all](https://nomic-ai.github.io/pygpt4all/)  

319. <a href="https://github.com/langchain-ai/langsmith-cookbook">langchain-ai/</a><b><a href="https://github.com/langchain-ai/langsmith-cookbook">langsmith-cookbook</a></b> ⭐ 997    
   LangSmith is a platform for building production-grade LLM applications.  
   🔗 [langsmith-cookbook.vercel.app](https://langsmith-cookbook.vercel.app)  

320. <a href="https://github.com/ajndkr/lanarky">ajndkr/</a><b><a href="https://github.com/ajndkr/lanarky">lanarky</a></b> ⭐ 995    
   The web framework for building LLM microservices [deprecated]  
   🔗 [lanarky.ajndkr.com](https://lanarky.ajndkr.com/)  

321. <a href="https://github.com/likejazz/llama3.np">likejazz/</a><b><a href="https://github.com/likejazz/llama3.np">llama3.np</a></b> ⭐ 992    
   llama3.np is a pure NumPy implementation for Llama 3 model.  

322. <a href="https://github.com/thinking-machines-lab/batch_invariant_ops">thinking-machines-lab/</a><b><a href="https://github.com/thinking-machines-lab/batch_invariant_ops">batch_invariant_ops</a></b> ⭐ 951    
   Defeating Nondeterminism in LLM Inference: fixing floating-point non-associativity  

323. <a href="https://github.com/soulter/hugging-chat-api">soulter/</a><b><a href="https://github.com/soulter/hugging-chat-api">hugging-chat-api</a></b> ⭐ 936    
   HuggingChat Python API🤗  

324. <a href="https://github.com/opengvlab/omniquant">opengvlab/</a><b><a href="https://github.com/opengvlab/omniquant">OmniQuant</a></b> ⭐ 886    
   [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.   

325. <a href="https://github.com/salesforceairesearch/promptomatix">salesforceairesearch/</a><b><a href="https://github.com/salesforceairesearch/promptomatix">promptomatix</a></b> ⭐ 878    
   An Automatic Prompt Optimization Framework. Structured approach to prompt optimization, ensuring consistency, cost-effectiveness, and high-quality outputs  

326. <a href="https://github.com/bytedtsinghua-sia/memagent">bytedtsinghua-sia/</a><b><a href="https://github.com/bytedtsinghua-sia/memagent">MemAgent</a></b> ⭐ 871    
   A MemAgent framework that can be extrapolated to 3.5M, along with a training framework for RL training of any agent workflow.  

327. <a href="https://github.com/safety-research/petri">safety-research/</a><b><a href="https://github.com/safety-research/petri">petri</a></b> ⭐ 847    
   Autonomously crafts environments, runs multi‑turn audits against a target model using human‑like messages and simulated tools, and then scores transcripts  
   🔗 [safety-research.github.io/petri](https://safety-research.github.io/petri/)  

328. <a href="https://github.com/facebookresearch/cwm">facebookresearch/</a><b><a href="https://github.com/facebookresearch/cwm">cwm</a></b> ⭐ 804    
   Code World Model (CWM) is a 32-billion-parameter open-weights LLM, to advance research on code generation with world models.  

329. <a href="https://github.com/junruxiong/incarnamind">junruxiong/</a><b><a href="https://github.com/junruxiong/incarnamind">IncarnaMind</a></b> ⭐ 797    
   Connect and chat with your multiple documents (pdf and txt) through GPT 3.5, GPT-4 Turbo, Claude and Local Open-Source LLMs  
   🔗 [www.incarnamind.com](https://www.incarnamind.com)  

330. <a href="https://github.com/tag-research/tag-bench">tag-research/</a><b><a href="https://github.com/tag-research/tag-bench">TAG-Bench</a></b> ⭐ 766    
   Table-Augmented Generation (TAG) is a unified and general-purpose paradigm for answering natural language questions over databases  
   🔗 [arxiv.org/pdf/2408.14717](https://arxiv.org/pdf/2408.14717)  

331. <a href="https://github.com/meta-llama/prompt-ops">meta-llama/</a><b><a href="https://github.com/meta-llama/prompt-ops">prompt-ops</a></b> ⭐ 752    
   PDO (Prompt Duel Optimizer) - an efficient label-free prompt optimization method using dueling bandits and Thompson sampling  

332. <a href="https://github.com/developersdigest/llm-api-engine">developersdigest/</a><b><a href="https://github.com/developersdigest/llm-api-engine">llm-api-engine</a></b> ⭐ 750    
   Build and deploy AI-powered APIs in seconds. This project allows you to create custom APIs that extract structured data from websites using natural language descriptions, powered by LLMs and web scraping technology.  
   🔗 [www.youtube.com/watch?v=8kuek1bo4mm](https://www.youtube.com/watch?v=8kUeK1Bo4mM)  

333. <a href="https://github.com/microsoft/sammo">microsoft/</a><b><a href="https://github.com/microsoft/sammo">sammo</a></b> ⭐ 747    
   A library for prompt engineering and optimization (SAMMO = Structure-aware Multi-Objective Metaprompt Optimization)  

334. <a href="https://github.com/metauto-ai/agent-as-a-judge">metauto-ai/</a><b><a href="https://github.com/metauto-ai/agent-as-a-judge">agent-as-a-judge</a></b> ⭐ 717    
   👩‍⚖️ Agent-as-a-Judge: The Magic for Open-Endedness  
   🔗 [arxiv.org/pdf/2410.10934](https://arxiv.org/pdf/2410.10934)  

335. <a href="https://github.com/microsoft/vptq">microsoft/</a><b><a href="https://github.com/microsoft/vptq">VPTQ</a></b> ⭐ 674    
   Extreme Low-bit Vector Post-Training Quantization for Large Language Models  

336. <a href="https://github.com/modal-labs/llm-finetuning">modal-labs/</a><b><a href="https://github.com/modal-labs/llm-finetuning">llm-finetuning</a></b> ⭐ 647    
   Guide for fine-tuning Llama/Mistral/CodeLlama models and more  

337. <a href="https://github.com/qixucen/atom">qixucen/</a><b><a href="https://github.com/qixucen/atom">atom</a></b> ⭐ 637    
   Atom of Thoughts (AoT) is a new reasoning framework that represents the solution as a composition of atomic questions. This approach transforms the reasoning process into a Markov process with atomic states  

338. <a href="https://github.com/judahpaul16/gpt-home">judahpaul16/</a><b><a href="https://github.com/judahpaul16/gpt-home">gpt-home</a></b> ⭐ 633    
   ChatGPT at home! A better alternative to commercial smart home assistants, built on the Raspberry Pi using LiteLLM and LangGraph.  
   🔗 [hub.docker.com/r/judahpaul/gpt-home](https://hub.docker.com/r/judahpaul/gpt-home)  

339. <a href="https://github.com/huggingface/text-clustering">huggingface/</a><b><a href="https://github.com/huggingface/text-clustering">text-clustering</a></b> ⭐ 592    
   Easily embed, cluster and semantically label text datasets  

340. <a href="https://github.com/deepseek-ai/deepseek-prover-v1.5">deepseek-ai/</a><b><a href="https://github.com/deepseek-ai/deepseek-prover-v1.5">DeepSeek-Prover-V1.5</a></b> ⭐ 553    
   DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search  

341. <a href="https://github.com/continuum-llms/chatgpt-memory">continuum-llms/</a><b><a href="https://github.com/continuum-llms/chatgpt-memory">chatgpt-memory</a></b> ⭐ 535    
   Allows to scale the ChatGPT API to multiple simultaneous sessions with infinite contextual and adaptive memory powered by GPT and Redis datastore.  

342. <a href="https://github.com/codelion/adaptive-classifier">codelion/</a><b><a href="https://github.com/codelion/adaptive-classifier">adaptive-classifier</a></b> ⭐ 526    
   A flexible, adaptive classification system that allows for dynamic addition of new classes and continuous learning from examples. Built on top of transformers from HuggingFace, this library provides an easy-to-use interface for creating and updating text classifiers.  

343. <a href="https://github.com/xaviviro/python-toon">xaviviro/</a><b><a href="https://github.com/xaviviro/python-toon">python-toon</a></b> ⭐ 320    
   A compact data format optimized for transmitting structured information to Large Language Models (LLMs) with 30-60% fewer tokens than JSON.  

344. <a href="https://github.com/quotient-ai/judges">quotient-ai/</a><b><a href="https://github.com/quotient-ai/judges">judges</a></b> ⭐ 316    
   judges is a small library to use and create LLM-as-a-Judge evaluators. The purpose of judges is to have a curated set of LLM evaluators in a low-friction format across a variety of use cases  

345. <a href="https://github.com/stanford-oval/suql">stanford-oval/</a><b><a href="https://github.com/stanford-oval/suql">suql</a></b> ⭐ 296    
   SUQL: Conversational Search over Structured and Unstructured Data with LLMs  
   🔗 [arxiv.org/abs/2311.09818](https://arxiv.org/abs/2311.09818)  

346. <a href="https://github.com/emissary-tech/legit-rag">emissary-tech/</a><b><a href="https://github.com/emissary-tech/legit-rag">legit-rag</a></b> ⭐ 274    
   A modular Retrieval-Augmented Generation (RAG) system built with FastAPI, Qdrant, and OpenAI.  

347. <a href="https://github.com/dottxt-ai/outlines-core">dottxt-ai/</a><b><a href="https://github.com/dottxt-ai/outlines-core">outlines-core</a></b> ⭐ 273    
   Core functionality for structured generation, formerly implemented in Outlines, with a focus on performance and portability.  
   🔗 [docs.rs/outlines-core](https://docs.rs/outlines-core)  

348. <a href="https://github.com/jina-ai/llm-query-expansion">jina-ai/</a><b><a href="https://github.com/jina-ai/llm-query-expansion">llm-query-expansion</a></b> ⭐ 64    
   Query Expension for Better Query Embedding using LLMs
349. <a href="https://github.com/maximhq/bifrost">maximhq/</a><b><a href="https://github.com/maximhq/bifrost">Bifrost</a></b> ⭐ 2853    
   Fastest LLM gateway, with just 11μs overhead at 5,000 RPS, making it 50x faster than LiteLLM
   🔗 [Bifrost](https://getmaxim.ai/bifrost/)

## Math and Science

Mathematical, numerical and scientific libraries.  

1. <a href="https://github.com/numpy/numpy">numpy/</a><b><a href="https://github.com/numpy/numpy">numpy</a></b> ⭐ 31,307    
   The fundamental package for scientific computing with Python.  
   🔗 [numpy.org](https://numpy.org)  

2. <a href="https://github.com/camdavidsonpilon/probabilistic-programming-and-bayesian-methods-for-hackers">camdavidsonpilon/</a><b><a href="https://github.com/camdavidsonpilon/probabilistic-programming-and-bayesian-methods-for-hackers">Probabilistic-Programming-and-Bayesian-Methods-for-Hackers</a></b> ⭐ 28,453    
   aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)    
   🔗 [camdavidsonpilon.github.io/probabilistic-programming-and-bayesian-methods-for-hackers](http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/)  

3. <a href="https://github.com/taichi-dev/taichi">taichi-dev/</a><b><a href="https://github.com/taichi-dev/taichi">taichi</a></b> ⭐ 27,916    
   Productive, portable, and performant GPU programming in Python: Taichi Lang is an open-source, imperative, parallel programming language for high-performance numerical computation.  
   🔗 [taichi-lang.org](https://taichi-lang.org)  

4. <a href="https://github.com/experience-monks/math-as-code">experience-monks/</a><b><a href="https://github.com/experience-monks/math-as-code">math-as-code</a></b> ⭐ 15,461    
   This is a reference to ease developers into mathematical notation by showing comparisons with Python code  

5. <a href="https://github.com/scipy/scipy">scipy/</a><b><a href="https://github.com/scipy/scipy">scipy</a></b> ⭐ 14,389    
   SciPy library main repository  
   🔗 [scipy.org](https://scipy.org)  

6. <a href="https://github.com/sympy/sympy">sympy/</a><b><a href="https://github.com/sympy/sympy">sympy</a></b> ⭐ 14,338    
   A computer algebra system written in pure Python  
   🔗 [sympy.org](https://sympy.org/)  

7. <a href="https://github.com/google/or-tools">google/</a><b><a href="https://github.com/google/or-tools">or-tools</a></b> ⭐ 13,016    
   Google Optimization Tools (a.k.a., OR-Tools) is an open-source, fast and portable software suite for solving combinatorial optimization problems.  
   🔗 [developers.google.com/optimization](https://developers.google.com/optimization/)  

8. <a href="https://github.com/z3prover/z3">z3prover/</a><b><a href="https://github.com/z3prover/z3">z3</a></b> ⭐ 11,848    
   Z3 is a theorem prover from Microsoft Research with a Python language binding.  

9. <a href="https://github.com/cupy/cupy">cupy/</a><b><a href="https://github.com/cupy/cupy">cupy</a></b> ⭐ 10,736    
   NumPy & SciPy for GPU  
   🔗 [cupy.dev](https://cupy.dev)  

10. <a href="https://github.com/cvxpy/cvxpy">cvxpy/</a><b><a href="https://github.com/cvxpy/cvxpy">cvxpy</a></b> ⭐ 6,096    
   A Python-embedded modeling language for convex optimization problems.  
   🔗 [www.cvxpy.org](https://www.cvxpy.org)  

11. <a href="https://github.com/google-deepmind/alphageometry">google-deepmind/</a><b><a href="https://github.com/google-deepmind/alphageometry">alphageometry</a></b> ⭐ 4,755    
   Solving Olympiad Geometry without Human Demonstrations  

12. <a href="https://github.com/pim-book/programmers-introduction-to-mathematics">pim-book/</a><b><a href="https://github.com/pim-book/programmers-introduction-to-mathematics">programmers-introduction-to-mathematics</a></b> ⭐ 3,635    
   Code for A Programmer's Introduction to Mathematics  
   🔗 [pimbook.org](https://pimbook.org)  

13. <a href="https://github.com/talalalrawajfeh/mathematics-roadmap">talalalrawajfeh/</a><b><a href="https://github.com/talalalrawajfeh/mathematics-roadmap">mathematics-roadmap</a></b> ⭐ 3,319    
   A Comprehensive Roadmap to Mathematics  

14. <a href="https://github.com/pyro-ppl/numpyro">pyro-ppl/</a><b><a href="https://github.com/pyro-ppl/numpyro">numpyro</a></b> ⭐ 2,598    
   Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.  
   🔗 [num.pyro.ai](https://num.pyro.ai)  

15. <a href="https://github.com/mckinsey/causalnex">mckinsey/</a><b><a href="https://github.com/mckinsey/causalnex">causalnex</a></b> ⭐ 2,426    
   A Python library that helps data scientists to infer causation rather than observing correlation.  
   🔗 [causalnex.readthedocs.io](http://causalnex.readthedocs.io/)  

16. <a href="https://github.com/facebookresearch/theseus">facebookresearch/</a><b><a href="https://github.com/facebookresearch/theseus">theseus</a></b> ⭐ 1,992    
   A library for differentiable nonlinear optimization  

17. <a href="https://github.com/pymc-labs/causalpy">pymc-labs/</a><b><a href="https://github.com/pymc-labs/causalpy">CausalPy</a></b> ⭐ 1,093    
   A Python package for causal inference in quasi-experimental settings  
   🔗 [causalpy.readthedocs.io](https://causalpy.readthedocs.io)  

18. <a href="https://github.com/extropic-ai/thrml">extropic-ai/</a><b><a href="https://github.com/extropic-ai/thrml">thrml</a></b> ⭐ 987    
   A JAX library for building and sampling probabilistic graphical models, with a focus on efficient block Gibbs sampling and energy-based models  
   🔗 [docs.thrml.ai](https://docs.thrml.ai/)  

19. <a href="https://github.com/brandondube/prysm">brandondube/</a><b><a href="https://github.com/brandondube/prysm">prysm</a></b> ⭐ 322    
   Prysm is an open-source library for physical and first-order modeling of optical systems and analysis of related data: numerical and physical optics, integrated modeling, phase retrieval, segmented systems, polynomials and fitting, sequential raytracing.  
   🔗 [prysm.readthedocs.io/en/stable](https://prysm.readthedocs.io/en/stable/)  

20. <a href="https://github.com/lean-dojo/reprover">lean-dojo/</a><b><a href="https://github.com/lean-dojo/reprover">ReProver</a></b> ⭐ 316    
   Retrieval-Augmented Theorem Provers for Lean  
   🔗 [leandojo.org/leandojo.html](https://leandojo.org/leandojo.html)  

21. <a href="https://github.com/albahnsen/pycircular">albahnsen/</a><b><a href="https://github.com/albahnsen/pycircular">pycircular</a></b> ⭐ 105    
   pycircular is a Python module for circular data analysis  

22. <a href="https://github.com/gbillotey/fractalshades">gbillotey/</a><b><a href="https://github.com/gbillotey/fractalshades">Fractalshades</a></b> ⭐ 35    
   Arbitrary-precision fractal explorer - Python package  

## Machine Learning - General

General and classical machine learning libraries. See below for other sections covering specialised ML areas.  

1. <a href="https://github.com/openai/openai-cookbook">openai/</a><b><a href="https://github.com/openai/openai-cookbook">openai-cookbook</a></b> ⭐ 71,101    
   Examples and guides for using the OpenAI API  
   🔗 [cookbook.openai.com](https://cookbook.openai.com)  

2. <a href="https://github.com/scikit-learn/scikit-learn">scikit-learn/</a><b><a href="https://github.com/scikit-learn/scikit-learn">scikit-learn</a></b> ⭐ 64,753    
   scikit-learn: machine learning in Python  
   🔗 [scikit-learn.org](https://scikit-learn.org)  

3. <a href="https://github.com/suno-ai/bark">suno-ai/</a><b><a href="https://github.com/suno-ai/bark">bark</a></b> ⭐ 38,929    
   🔊 Text-Prompted Generative Audio Model  

4. <a href="https://github.com/facebookresearch/faiss">facebookresearch/</a><b><a href="https://github.com/facebookresearch/faiss">faiss</a></b> ⭐ 38,864    
   A library for efficient similarity search and clustering of dense vectors.  
   🔗 [faiss.ai](https://faiss.ai)  

5. <a href="https://github.com/tencentarc/gfpgan">tencentarc/</a><b><a href="https://github.com/tencentarc/gfpgan">GFPGAN</a></b> ⭐ 37,353    
   GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.  

6. <a href="https://github.com/google-research/google-research">google-research/</a><b><a href="https://github.com/google-research/google-research">google-research</a></b> ⭐ 37,132    
   This repository contains code released by Google Research  
   🔗 [research.google](https://research.google)  

7. <a href="https://github.com/roboflow/supervision">roboflow/</a><b><a href="https://github.com/roboflow/supervision">supervision</a></b> ⭐ 36,378    
   We write your reusable computer vision tools. 💜  
   🔗 [supervision.roboflow.com](https://supervision.roboflow.com)  

8. <a href="https://github.com/google/jax">google/</a><b><a href="https://github.com/google/jax">jax</a></b> ⭐ 34,681    
   Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more  
   🔗 [docs.jax.dev](https://docs.jax.dev)  

9. <a href="https://github.com/google/mediapipe">google/</a><b><a href="https://github.com/google/mediapipe">mediapipe</a></b> ⭐ 33,447    
   Cross-platform, customizable ML solutions for live and streaming media.  
   🔗 [ai.google.dev/edge/mediapipe](https://ai.google.dev/edge/mediapipe)  

10. <a href="https://github.com/open-mmlab/mmdetection">open-mmlab/</a><b><a href="https://github.com/open-mmlab/mmdetection">mmdetection</a></b> ⭐ 32,319    
   OpenMMLab Detection Toolbox and Benchmark  
   🔗 [mmdetection.readthedocs.io](https://mmdetection.readthedocs.io)  

11. <a href="https://github.com/lutzroeder/netron">lutzroeder/</a><b><a href="https://github.com/lutzroeder/netron">netron</a></b> ⭐ 32,250    
   Visualizer for neural network, deep learning and machine learning models  
   🔗 [netron.app](https://netron.app)  

12. <a href="https://github.com/ageron/handson-ml2">ageron/</a><b><a href="https://github.com/ageron/handson-ml2">handson-ml2</a></b> ⭐ 29,799    
   A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.  

13. <a href="https://github.com/dmlc/xgboost">dmlc/</a><b><a href="https://github.com/dmlc/xgboost">xgboost</a></b> ⭐ 27,898    
   Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library,  for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow  
   🔗 [xgboost.readthedocs.io](https://xgboost.readthedocs.io/)  

14. <a href="https://github.com/facebookresearch/fasttext">facebookresearch/</a><b><a href="https://github.com/facebookresearch/fasttext">fastText</a></b> ⭐ 26,471    
   A library for efficient learning of word representations and sentence classification.  
   🔗 [fasttext.cc](https://fasttext.cc/)  

15. <a href="https://github.com/modular/max">modular/</a><b><a href="https://github.com/modular/max">modular</a></b> ⭐ 25,497    
   The Modular Accelerated Xecution (MAX) platform is an integrated suite of AI libraries, tools, and technologies that unifies commonly fragmented AI deployment workflows  
   🔗 [docs.modular.com](https://docs.modular.com/)  

16. <a href="https://github.com/harisiqbal88/plotneuralnet">harisiqbal88/</a><b><a href="https://github.com/harisiqbal88/plotneuralnet">PlotNeuralNet</a></b> ⭐ 24,366    
   Latex code for making neural networks diagrams  

17. <a href="https://github.com/ml-explore/mlx">ml-explore/</a><b><a href="https://github.com/ml-explore/mlx">mlx</a></b> ⭐ 23,585    
   MLX is an array framework for machine learning on Apple silicon, brought to you by Apple machine learning research.  
   🔗 [ml-explore.github.io/mlx](https://ml-explore.github.io/mlx/)  

18. <a href="https://github.com/jina-ai/jina">jina-ai/</a><b><a href="https://github.com/jina-ai/jina">serve</a></b> ⭐ 21,828    
   ☁️ Build multimodal AI applications with cloud-native stack  
   🔗 [jina.ai/serve](https://jina.ai/serve)  

19. <a href="https://github.com/onnx/onnx">onnx/</a><b><a href="https://github.com/onnx/onnx">onnx</a></b> ⭐ 20,211    
   Open standard for machine learning interoperability  
   🔗 [onnx.ai](https://onnx.ai/)  

20. <a href="https://github.com/huggingface/candle">huggingface/</a><b><a href="https://github.com/huggingface/candle">candle</a></b> ⭐ 19,143    
   Candle is a minimalist ML framework for Rust with a focus on performance (including GPU support) and ease of use.  

21. <a href="https://github.com/microsoft/onnxruntime">microsoft/</a><b><a href="https://github.com/microsoft/onnxruntime">onnxruntime</a></b> ⭐ 19,069    
   ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator  
   🔗 [onnxruntime.ai](https://onnxruntime.ai)  

22. <a href="https://github.com/microsoft/lightgbm">microsoft/</a><b><a href="https://github.com/microsoft/lightgbm">LightGBM</a></b> ⭐ 18,027    
   A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.  
   🔗 [lightgbm.readthedocs.io/en/latest](https://lightgbm.readthedocs.io/en/latest/)  

23. <a href="https://github.com/tensorflow/tensor2tensor">tensorflow/</a><b><a href="https://github.com/tensorflow/tensor2tensor">tensor2tensor</a></b> ⭐ 16,935    
   Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.  

24. <a href="https://github.com/google-gemini/cookbook">google-gemini/</a><b><a href="https://github.com/google-gemini/cookbook">cookbook</a></b> ⭐ 16,259    
   A collection of guides and examples for the Gemini API, including quickstart tutorials for writing prompts.  
   🔗 [ai.google.dev/gemini-api/docs](https://ai.google.dev/gemini-api/docs)  

25. <a href="https://github.com/ddbourgin/numpy-ml">ddbourgin/</a><b><a href="https://github.com/ddbourgin/numpy-ml">numpy-ml</a></b> ⭐ 16,241    
   Machine learning, in numpy  
   🔗 [numpy-ml.readthedocs.io](https://numpy-ml.readthedocs.io/)  

26. <a href="https://github.com/neonbjb/tortoise-tts">neonbjb/</a><b><a href="https://github.com/neonbjb/tortoise-tts">tortoise-tts</a></b> ⭐ 14,785    
   A multi-voice TTS system trained with an emphasis on quality  

27. <a href="https://github.com/aleju/imgaug">aleju/</a><b><a href="https://github.com/aleju/imgaug">imgaug</a></b> ⭐ 14,726    
   Image augmentation for machine learning experiments.  
   🔗 [imgaug.readthedocs.io](http://imgaug.readthedocs.io)  

28. <a href="https://github.com/deepmind/deepmind-research">deepmind/</a><b><a href="https://github.com/deepmind/deepmind-research">deepmind-research</a></b> ⭐ 14,645    
   This repository contains implementations and illustrative code to accompany DeepMind publications  

29. <a href="https://github.com/microsoft/nni">microsoft/</a><b><a href="https://github.com/microsoft/nni">nni</a></b> ⭐ 14,338    
   An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.  
   🔗 [nni.readthedocs.io](https://nni.readthedocs.io)  

30. <a href="https://github.com/jindongwang/transferlearning">jindongwang/</a><b><a href="https://github.com/jindongwang/transferlearning">transferlearning</a></b> ⭐ 14,255    
   Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习  
   🔗 [transferlearning.xyz](http://transferlearning.xyz/)  

31. <a href="https://github.com/deepmind/alphafold">deepmind/</a><b><a href="https://github.com/deepmind/alphafold">alphafold</a></b> ⭐ 14,224    
   Implementation of the inference pipeline of AlphaFold v2  

32. <a href="https://github.com/spotify/annoy">spotify/</a><b><a href="https://github.com/spotify/annoy">annoy</a></b> ⭐ 14,135    
   Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk  

33. <a href="https://github.com/ggerganov/ggml">ggerganov/</a><b><a href="https://github.com/ggerganov/ggml">ggml</a></b> ⭐ 13,866    
   Tensor library for machine learning  

34. <a href="https://github.com/optuna/optuna">optuna/</a><b><a href="https://github.com/optuna/optuna">optuna</a></b> ⭐ 13,421    
   A hyperparameter optimization framework  
   🔗 [optuna.org](https://optuna.org)  

35. <a href="https://github.com/facebookresearch/animateddrawings">facebookresearch/</a><b><a href="https://github.com/facebookresearch/animateddrawings">AnimatedDrawings</a></b> ⭐ 12,761    
   Code to accompany "A Method for Animating Children's Drawings of the Human Figure"  

36. <a href="https://github.com/thudm/cogvideo">thudm/</a><b><a href="https://github.com/thudm/cogvideo">CogVideo</a></b> ⭐ 12,361    
   text and image to video generation: CogVideoX (2024) and CogVideo (ICLR 2023)  

37. <a href="https://github.com/cleanlab/cleanlab">cleanlab/</a><b><a href="https://github.com/cleanlab/cleanlab">cleanlab</a></b> ⭐ 11,281    
   Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.  
   🔗 [cleanlab.ai](https://cleanlab.ai)  

38. <a href="https://github.com/statsmodels/statsmodels">statsmodels/</a><b><a href="https://github.com/statsmodels/statsmodels">statsmodels</a></b> ⭐ 11,210    
   Statsmodels: statistical modeling and econometrics in Python  
   🔗 [www.statsmodels.org/devel](http://www.statsmodels.org/devel/)  

39. <a href="https://github.com/wandb/client">wandb/</a><b><a href="https://github.com/wandb/client">wandb</a></b> ⭐ 10,768    
   The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.  
   🔗 [wandb.ai](https://wandb.ai)  

40. <a href="https://github.com/twitter/the-algorithm-ml">twitter/</a><b><a href="https://github.com/twitter/the-algorithm-ml">the-algorithm-ml</a></b> ⭐ 10,510    
   Source code for Twitter's Recommendation Algorithm  
   🔗 [blog.twitter.com/engineering/en_us/topics/open-source/2023/twitter-recommendation-algorithm](https://blog.twitter.com/engineering/en_us/topics/open-source/2023/twitter-recommendation-algorithm)  

41. <a href="https://github.com/facebookresearch/xformers">facebookresearch/</a><b><a href="https://github.com/facebookresearch/xformers">xformers</a></b> ⭐ 10,292    
   Hackable and optimized Transformers building blocks, supporting a composable construction.  
   🔗 [facebookresearch.github.io/xformers](https://facebookresearch.github.io/xformers/)  

42. <a href="https://github.com/megvii-basedetection/yolox">megvii-basedetection/</a><b><a href="https://github.com/megvii-basedetection/yolox">YOLOX</a></b> ⭐ 10,291    
   YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/  

43. <a href="https://github.com/epistasislab/tpot">epistasislab/</a><b><a href="https://github.com/epistasislab/tpot">tpot</a></b> ⭐ 10,041    
   A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.  
   🔗 [epistasislab.github.io/tpot](http://epistasislab.github.io/tpot/)  

44. <a href="https://github.com/awslabs/autogluon">awslabs/</a><b><a href="https://github.com/awslabs/autogluon">autogluon</a></b> ⭐ 9,828    
   Fast and Accurate ML in 3 Lines of Code  
   🔗 [auto.gluon.ai](https://auto.gluon.ai/)  

45. <a href="https://github.com/pycaret/pycaret">pycaret/</a><b><a href="https://github.com/pycaret/pycaret">pycaret</a></b> ⭐ 9,677    
   An open-source, low-code machine learning library in Python  
   🔗 [www.pycaret.org](https://www.pycaret.org)  

46. <a href="https://github.com/open-mmlab/mmsegmentation">open-mmlab/</a><b><a href="https://github.com/open-mmlab/mmsegmentation">mmsegmentation</a></b> ⭐ 9,586    
   OpenMMLab Semantic Segmentation Toolbox and Benchmark.  
   🔗 [mmsegmentation.readthedocs.io/en/main](https://mmsegmentation.readthedocs.io/en/main/)  

47. <a href="https://github.com/huggingface/accelerate">huggingface/</a><b><a href="https://github.com/huggingface/accelerate">accelerate</a></b> ⭐ 9,461    
   🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support  
   🔗 [huggingface.co/docs/accelerate](https://huggingface.co/docs/accelerate)  

48. <a href="https://github.com/pymc-devs/pymc3">pymc-devs/</a><b><a href="https://github.com/pymc-devs/pymc3">pymc</a></b> ⭐ 9,459    
   Bayesian Modeling and Probabilistic Programming in Python  
   🔗 [www.pymc.io](https://www.pymc.io)  

49. <a href="https://github.com/uberi/speech_recognition">uberi/</a><b><a href="https://github.com/uberi/speech_recognition">speech_recognition</a></b> ⭐ 8,927    
   Speech recognition module for Python, supporting several engines and APIs, online and offline.  
   🔗 [pypi.python.org/pypi/speechrecognition](https://pypi.python.org/pypi/SpeechRecognition/)  

50. <a href="https://github.com/catboost/catboost">catboost/</a><b><a href="https://github.com/catboost/catboost">catboost</a></b> ⭐ 8,768    
   A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.  
   🔗 [catboost.ai](https://catboost.ai)  

51. <a href="https://github.com/ml-explore/mlx-examples">ml-explore/</a><b><a href="https://github.com/ml-explore/mlx-examples">mlx-examples</a></b> ⭐ 8,168    
   Examples in the MLX framework  

52. <a href="https://github.com/lmcinnes/umap">lmcinnes/</a><b><a href="https://github.com/lmcinnes/umap">umap</a></b> ⭐ 8,072    
   Uniform Manifold Approximation and Projection  
   🔗 [umap-learn.readthedocs.io](https://umap-learn.readthedocs.io)  

53. <a href="https://github.com/automl/auto-sklearn">automl/</a><b><a href="https://github.com/automl/auto-sklearn">auto-sklearn</a></b> ⭐ 8,042    
   Automated Machine Learning with scikit-learn  
   🔗 [automl.github.io/auto-sklearn](https://automl.github.io/auto-sklearn)  

54. <a href="https://github.com/py-why/dowhy">py-why/</a><b><a href="https://github.com/py-why/dowhy">dowhy</a></b> ⭐ 7,924    
   DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.   
   🔗 [www.pywhy.org/dowhy](https://www.pywhy.org/dowhy)  

55. <a href="https://github.com/project-monai/monai">project-monai/</a><b><a href="https://github.com/project-monai/monai">MONAI</a></b> ⭐ 7,773    
   AI Toolkit for Healthcare Imaging  
   🔗 [project-monai.github.io](https://project-monai.github.io/)  

56. <a href="https://github.com/hyperopt/hyperopt">hyperopt/</a><b><a href="https://github.com/hyperopt/hyperopt">hyperopt</a></b> ⭐ 7,608    
   Distributed Asynchronous Hyperparameter Optimization in Python  
   🔗 [hyperopt.github.io/hyperopt](http://hyperopt.github.io/hyperopt)  

57. <a href="https://github.com/featurelabs/featuretools">featurelabs/</a><b><a href="https://github.com/featurelabs/featuretools">featuretools</a></b> ⭐ 7,598    
   An open source python library for automated feature engineering  
   🔗 [www.featuretools.com](https://www.featuretools.com)  

58. <a href="https://github.com/hips/autograd">hips/</a><b><a href="https://github.com/hips/autograd">autograd</a></b> ⭐ 7,446    
   Efficiently computes derivatives of NumPy code.  

59. <a href="https://github.com/open-mmlab/mmediting">open-mmlab/</a><b><a href="https://github.com/open-mmlab/mmediting">mmagic</a></b> ⭐ 7,369    
   OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.  
   🔗 [mmagic.readthedocs.io/en/latest](https://mmagic.readthedocs.io/en/latest/)  

60. <a href="https://github.com/scikit-learn-contrib/imbalanced-learn">scikit-learn-contrib/</a><b><a href="https://github.com/scikit-learn-contrib/imbalanced-learn">imbalanced-learn</a></b> ⭐ 7,078    
    A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning  
   🔗 [imbalanced-learn.org](https://imbalanced-learn.org)  

61. <a href="https://github.com/yangchris11/samurai">yangchris11/</a><b><a href="https://github.com/yangchris11/samurai">samurai</a></b> ⭐ 7,037    
   Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"  
   🔗 [yangchris11.github.io/samurai](https://yangchris11.github.io/samurai/)  

62. <a href="https://github.com/probml/pyprobml">probml/</a><b><a href="https://github.com/probml/pyprobml">pyprobml</a></b> ⭐ 6,995    
   Python code for "Probabilistic Machine learning" book by Kevin Murphy  

63. <a href="https://github.com/nicolashug/surprise">nicolashug/</a><b><a href="https://github.com/nicolashug/surprise">Surprise</a></b> ⭐ 6,757    
   A Python scikit for building and analyzing recommender systems  
   🔗 [surpriselib.com](http://surpriselib.com)  

64. <a href="https://github.com/google-deepmind/graphcast">google-deepmind/</a><b><a href="https://github.com/google-deepmind/graphcast">graphcast</a></b> ⭐ 6,488    
   GraphCast: Learning skillful medium-range global weather forecasting  

65. <a href="https://github.com/google/automl">google/</a><b><a href="https://github.com/google/automl">automl</a></b> ⭐ 6,452    
   Google Brain AutoML  

66. <a href="https://github.com/cleverhans-lab/cleverhans">cleverhans-lab/</a><b><a href="https://github.com/cleverhans-lab/cleverhans">cleverhans</a></b> ⭐ 6,401    
   An adversarial example library for constructing attacks, building defenses, and benchmarking both  

67. <a href="https://github.com/open-mmlab/mmcv">open-mmlab/</a><b><a href="https://github.com/open-mmlab/mmcv">mmcv</a></b> ⭐ 6,388    
   OpenMMLab Computer Vision Foundation  
   🔗 [mmcv.readthedocs.io/en/latest](https://mmcv.readthedocs.io/en/latest/)  

68. <a href="https://github.com/kevinmusgrave/pytorch-metric-learning">kevinmusgrave/</a><b><a href="https://github.com/kevinmusgrave/pytorch-metric-learning">pytorch-metric-learning</a></b> ⭐ 6,298    
   The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.  
   🔗 [kevinmusgrave.github.io/pytorch-metric-learning](https://kevinmusgrave.github.io/pytorch-metric-learning/)  

69. <a href="https://github.com/uber/causalml">uber/</a><b><a href="https://github.com/uber/causalml">causalml</a></b> ⭐ 5,704    
   Uplift modeling and causal inference with machine learning algorithms  

70. <a href="https://github.com/online-ml/river">online-ml/</a><b><a href="https://github.com/online-ml/river">river</a></b> ⭐ 5,683    
   🌊 Online machine learning in Python  
   🔗 [riverml.xyz](https://riverml.xyz)  

71. <a href="https://github.com/priorlabs/tabpfn">priorlabs/</a><b><a href="https://github.com/priorlabs/tabpfn">TabPFN</a></b> ⭐ 5,562    
   The TabPFN is a neural network that learned to do tabular data prediction. This is the original CUDA-supporting pytorch impelementation.  
   🔗 [priorlabs.ai](http://priorlabs.ai)  

72. <a href="https://github.com/google-deepmind/graph_nets">google-deepmind/</a><b><a href="https://github.com/google-deepmind/graph_nets">graph_nets</a></b> ⭐ 5,394    
   Graph Nets is DeepMind's library for building graph networks in Tensorflow and Sonnet.  
   🔗 [arxiv.org/abs/1806.01261](https://arxiv.org/abs/1806.01261)  

73. <a href="https://github.com/skvark/opencv-python">skvark/</a><b><a href="https://github.com/skvark/opencv-python">opencv-python</a></b> ⭐ 5,165    
   Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.  
   🔗 [pypi.org/project/opencv-python](https://pypi.org/project/opencv-python/)  

74. <a href="https://github.com/mdbloice/augmentor">mdbloice/</a><b><a href="https://github.com/mdbloice/augmentor">Augmentor</a></b> ⭐ 5,148    
   Image augmentation library in Python for machine learning.  
   🔗 [augmentor.readthedocs.io/en/stable](https://augmentor.readthedocs.io/en/stable)  

75. <a href="https://github.com/apple/coremltools">apple/</a><b><a href="https://github.com/apple/coremltools">coremltools</a></b> ⭐ 5,122    
   Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.  
   🔗 [coremltools.readme.io](https://coremltools.readme.io)  

76. <a href="https://github.com/rasbt/mlxtend">rasbt/</a><b><a href="https://github.com/rasbt/mlxtend">mlxtend</a></b> ⭐ 5,092    
   A library of extension and helper modules for Python's data analysis and machine learning libraries.  
   🔗 [rasbt.github.io/mlxtend](https://rasbt.github.io/mlxtend/)  

77. <a href="https://github.com/nmslib/hnswlib">nmslib/</a><b><a href="https://github.com/nmslib/hnswlib">hnswlib</a></b> ⭐ 5,067    
   Header-only C++/python library for fast approximate nearest neighbors  
   🔗 [github.com/nmslib/hnswlib](https://github.com/nmslib/hnswlib)  

78. <a href="https://github.com/marqo-ai/marqo">marqo-ai/</a><b><a href="https://github.com/marqo-ai/marqo">marqo</a></b> ⭐ 5,009    
   Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai  
   🔗 [www.marqo.ai](https://www.marqo.ai/)  

79. <a href="https://github.com/sanchit-gandhi/whisper-jax">sanchit-gandhi/</a><b><a href="https://github.com/sanchit-gandhi/whisper-jax">whisper-jax</a></b> ⭐ 4,665    
   JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.  

80. <a href="https://github.com/huggingface/autotrain-advanced">huggingface/</a><b><a href="https://github.com/huggingface/autotrain-advanced">autotrain-advanced</a></b> ⭐ 4,551    
   AutoTrain Advanced: faster and easier training and deployments of state-of-the-art machine learning models  
   🔗 [huggingface.co/autotrain](https://huggingface.co/autotrain)  

81. <a href="https://github.com/py-why/econml">py-why/</a><b><a href="https://github.com/py-why/econml">EconML</a></b> ⭐ 4,478    
   ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its  goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to brin...  
   🔗 [www.microsoft.com/en-us/research/project/alice](https://www.microsoft.com/en-us/research/project/alice/)  

82. <a href="https://github.com/huggingface/notebooks">huggingface/</a><b><a href="https://github.com/huggingface/notebooks">notebooks</a></b> ⭐ 4,438    
   Notebooks using the Hugging Face libraries 🤗  

83. <a href="https://github.com/nv-tlabs/get3d">nv-tlabs/</a><b><a href="https://github.com/nv-tlabs/get3d">GET3D</a></b> ⭐ 4,425    
   Generative Model of High Quality 3D Textured Shapes Learned from Images  

84. <a href="https://github.com/districtdatalabs/yellowbrick">districtdatalabs/</a><b><a href="https://github.com/districtdatalabs/yellowbrick">yellowbrick</a></b> ⭐ 4,395    
   Visual analysis and diagnostic tools to facilitate machine learning model selection.  
   🔗 [www.scikit-yb.org](http://www.scikit-yb.org/)  

85. <a href="https://github.com/lucidrains/deep-daze">lucidrains/</a><b><a href="https://github.com/lucidrains/deep-daze">deep-daze</a></b> ⭐ 4,332    
   Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun  

86. <a href="https://github.com/zjunlp/deepke">zjunlp/</a><b><a href="https://github.com/zjunlp/deepke">DeepKE</a></b> ⭐ 4,304    
   [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction  
   🔗 [deepke.zjukg.cn](http://deepke.zjukg.cn/)  

87. <a href="https://github.com/microsoft/flaml">microsoft/</a><b><a href="https://github.com/microsoft/flaml">FLAML</a></b> ⭐ 4,283    
   A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.  
   🔗 [microsoft.github.io/flaml](https://microsoft.github.io/FLAML/)  

88. <a href="https://github.com/huggingface/speech-to-speech">huggingface/</a><b><a href="https://github.com/huggingface/speech-to-speech">speech-to-speech</a></b> ⭐ 4,274    
   Speech To Speech: an effort for an open-sourced and modular GPT4-o  

89. <a href="https://github.com/cmusphinx/pocketsphinx">cmusphinx/</a><b><a href="https://github.com/cmusphinx/pocketsphinx">pocketsphinx</a></b> ⭐ 4,261    
   A small speech recognizer  

90. <a href="https://github.com/rucaibox/recbole">rucaibox/</a><b><a href="https://github.com/rucaibox/recbole">RecBole</a></b> ⭐ 4,235    
   A unified, comprehensive and efficient recommendation library  
   🔗 [recbole.io](https://recbole.io/)  

91. <a href="https://github.com/ourownstory/neural_prophet">ourownstory/</a><b><a href="https://github.com/ourownstory/neural_prophet">neural_prophet</a></b> ⭐ 4,233    
   NeuralProphet: A simple forecasting package  
   🔗 [neuralprophet.com](https://neuralprophet.com)  

92. <a href="https://github.com/facebookresearch/flow_matching">facebookresearch/</a><b><a href="https://github.com/facebookresearch/flow_matching">flow_matching</a></b> ⭐ 4,032    
   Flow Matching (FM) is a recent framework for generative modeling that has achieved state-of-the-art performance across various domains, including image, video, audio, speech, and biological structures  
   🔗 [facebookresearch.github.io/flow_matching](http://facebookresearch.github.io/flow_matching)  

93. <a href="https://github.com/cornellius-gp/gpytorch">cornellius-gp/</a><b><a href="https://github.com/cornellius-gp/gpytorch">gpytorch</a></b> ⭐ 3,819    
   GPyTorch is a Gaussian process library implemented using PyTorch. GPyTorch is designed for creating scalable, flexible, and modular Gaussian process models with ease.  

94. <a href="https://github.com/lightly-ai/lightly">lightly-ai/</a><b><a href="https://github.com/lightly-ai/lightly">lightly</a></b> ⭐ 3,666    
   A python library for self-supervised learning on images.  
   🔗 [docs.lightly.ai/self-supervised-learning](https://docs.lightly.ai/self-supervised-learning/)  

95. <a href="https://github.com/huggingface/safetensors">huggingface/</a><b><a href="https://github.com/huggingface/safetensors">safetensors</a></b> ⭐ 3,597    
   Implements a new simple format for storing tensors safely (as opposed to pickle) and that is still fast (zero-copy).  
   🔗 [huggingface.co/docs/safetensors](https://huggingface.co/docs/safetensors)  

96. <a href="https://github.com/yoheinakajima/instagraph">yoheinakajima/</a><b><a href="https://github.com/yoheinakajima/instagraph">instagraph</a></b> ⭐ 3,540    
   Converts text input or URL into knowledge graph and displays  

97. <a href="https://github.com/petarv-/gat">petarv-/</a><b><a href="https://github.com/petarv-/gat">GAT</a></b> ⭐ 3,492    
   Implementation of a Graph Attention Network (GAT) layer in TensorFlow  
   🔗 [petar-v.com/gat](https://petar-v.com/GAT/)  

98. <a href="https://github.com/neuraloperator/neuraloperator">neuraloperator/</a><b><a href="https://github.com/neuraloperator/neuraloperator">neuraloperator</a></b> ⭐ 3,337    
   Comprehensive library for learning neural operators in PyTorch. It is the official implementation for Fourier Neural Operators and Tensorized Neural Operators.  
   🔗 [neuraloperator.github.io/dev/index.html](https://neuraloperator.github.io/dev/index.html)  

99. <a href="https://github.com/pytorch/glow">pytorch/</a><b><a href="https://github.com/pytorch/glow">glow</a></b> ⭐ 3,328    
   Compiler for Neural Network hardware accelerators  

100. <a href="https://github.com/hrnet/hrnet-semantic-segmentation">hrnet/</a><b><a href="https://github.com/hrnet/hrnet-semantic-segmentation">HRNet-Semantic-Segmentation</a></b> ⭐ 3,311    
   The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919  

101. <a href="https://github.com/facebookresearch/vissl">facebookresearch/</a><b><a href="https://github.com/facebookresearch/vissl">vissl</a></b> ⭐ 3,294    
   VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.  
   🔗 [vissl.ai](https://vissl.ai)  

102. <a href="https://github.com/lucidrains/musiclm-pytorch">lucidrains/</a><b><a href="https://github.com/lucidrains/musiclm-pytorch">musiclm-pytorch</a></b> ⭐ 3,293    
   Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch  

103. <a href="https://github.com/shankarpandala/lazypredict">shankarpandala/</a><b><a href="https://github.com/shankarpandala/lazypredict">lazypredict</a></b> ⭐ 3,285    
   Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning  

104. <a href="https://github.com/huggingface/huggingface_hub">huggingface/</a><b><a href="https://github.com/huggingface/huggingface_hub">huggingface_hub</a></b> ⭐ 3,277    
   The official Python client for the Hugging Face Hub.  
   🔗 [huggingface.co/docs/huggingface_hub](https://huggingface.co/docs/huggingface_hub)  

105. <a href="https://github.com/huggingface/optimum">huggingface/</a><b><a href="https://github.com/huggingface/optimum">optimum</a></b> ⭐ 3,268    
   🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools  
   🔗 [huggingface.co/docs/optimum/main](https://huggingface.co/docs/optimum/main/)  

106. <a href="https://github.com/mljar/mljar-supervised">mljar/</a><b><a href="https://github.com/mljar/mljar-supervised">mljar-supervised</a></b> ⭐ 3,234    
   Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation  
   🔗 [mljar.com](https://mljar.com)  

107. <a href="https://github.com/nvidia/cuda-python">nvidia/</a><b><a href="https://github.com/nvidia/cuda-python">cuda-python</a></b> ⭐ 3,145    
   CUDA Python: Performance meets Productivity  
   🔗 [nvidia.github.io/cuda-python](https://nvidia.github.io/cuda-python/)  

108. <a href="https://github.com/google-research/t5x">google-research/</a><b><a href="https://github.com/google-research/t5x">t5x</a></b> ⭐ 2,938    
   T5X is a modular, composable, research-friendly framework for high-performance, configurable, self-service training, evaluation, and inference of sequence models (starting with language) at many scales.  

109. <a href="https://github.com/eric-mitchell/direct-preference-optimization">eric-mitchell/</a><b><a href="https://github.com/eric-mitchell/direct-preference-optimization">direct-preference-optimization</a></b> ⭐ 2,834    
   Reference implementation for DPO (Direct Preference Optimization)  

110. <a href="https://github.com/rom1504/clip-retrieval">rom1504/</a><b><a href="https://github.com/rom1504/clip-retrieval">clip-retrieval</a></b> ⭐ 2,716    
   Easily compute clip embeddings and build a clip retrieval system with them  
   🔗 [rom1504.github.io/clip-retrieval](https://rom1504.github.io/clip-retrieval/)  

111. <a href="https://github.com/freedmand/semantra">freedmand/</a><b><a href="https://github.com/freedmand/semantra">semantra</a></b> ⭐ 2,686    
   Semantra is a multipurpose tool for semantically searching documents. Query by meaning rather than just by matching text.  

112. <a href="https://github.com/apple/ml-ane-transformers">apple/</a><b><a href="https://github.com/apple/ml-ane-transformers">ml-ane-transformers</a></b> ⭐ 2,672    
   Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE)  

113. <a href="https://github.com/qdrant/fastembed">qdrant/</a><b><a href="https://github.com/qdrant/fastembed">fastembed</a></b> ⭐ 2,651    
   Fast, Accurate, Lightweight Python library to make State of the Art Embedding  
   🔗 [qdrant.github.io/fastembed](https://qdrant.github.io/fastembed/)  

114. <a href="https://github.com/huggingface/evaluate">huggingface/</a><b><a href="https://github.com/huggingface/evaluate">evaluate</a></b> ⭐ 2,404    
   🤗 Evaluate: A library for easily evaluating machine learning models and datasets.  
   🔗 [huggingface.co/docs/evaluate](https://huggingface.co/docs/evaluate)  

115. <a href="https://github.com/benedekrozemberczki/karateclub">benedekrozemberczki/</a><b><a href="https://github.com/benedekrozemberczki/karateclub">karateclub</a></b> ⭐ 2,273    
   Karate Club is an unsupervised machine learning extension library for NetworkX.  
   🔗 [karateclub.readthedocs.io](https://karateclub.readthedocs.io)  

116. <a href="https://github.com/microsoft/olive">microsoft/</a><b><a href="https://github.com/microsoft/olive">Olive</a></b> ⭐ 2,240    
   Olive: Simplify ML Model Finetuning, Conversion, Quantization, and Optimization for CPUs, GPUs and NPUs.  
   🔗 [microsoft.github.io/olive](https://microsoft.github.io/Olive/)  

117. <a href="https://github.com/castorini/pyserini">castorini/</a><b><a href="https://github.com/castorini/pyserini">pyserini</a></b> ⭐ 2,008    
   Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.  
   🔗 [pyserini.io](http://pyserini.io/)  

118. <a href="https://github.com/linkedin/greykite">linkedin/</a><b><a href="https://github.com/linkedin/greykite">greykite</a></b> ⭐ 1,854    
   A flexible, intuitive and fast forecasting library  

119. <a href="https://github.com/rentruewang/koila">rentruewang/</a><b><a href="https://github.com/rentruewang/koila">koila</a></b> ⭐ 1,832    
   Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.  
   🔗 [koila.rentruewang.com](https://koila.rentruewang.com)  

120. <a href="https://github.com/laekov/fastmoe">laekov/</a><b><a href="https://github.com/laekov/fastmoe">fastmoe</a></b> ⭐ 1,829    
   A fast MoE impl for PyTorch  
   🔗 [fastmoe.ai](https://fastmoe.ai)  

121. <a href="https://github.com/visual-layer/fastdup">visual-layer/</a><b><a href="https://github.com/visual-layer/fastdup">fastdup</a></b> ⭐ 1,817    
   fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing data operation costs, all with unmatched scalability.  
   🔗 [docs.visual-layer.com/fastdup_docs_old/first%20steps/getting-started](https://docs.visual-layer.com/fastdup_docs_old/First%20Steps/getting-started)  

122. <a href="https://github.com/microsoft/i-code">microsoft/</a><b><a href="https://github.com/microsoft/i-code">i-Code</a></b> ⭐ 1,707    
   The ambition of the i-Code project is to build integrative and composable multimodal AI. The "i" stands for integrative multimodal learning.  

123. <a href="https://github.com/google/vizier">google/</a><b><a href="https://github.com/google/vizier">vizier</a></b> ⭐ 1,623    
   Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.  
   🔗 [oss-vizier.readthedocs.io](https://oss-vizier.readthedocs.io)  

124. <a href="https://github.com/microsoft/semi-supervised-learning">microsoft/</a><b><a href="https://github.com/microsoft/semi-supervised-learning">Semi-supervised-learning</a></b> ⭐ 1,559    
   A Unified Semi-Supervised Learning Codebase (NeurIPS'22)  
   🔗 [usb.readthedocs.io](https://usb.readthedocs.io)  

125. <a href="https://github.com/spotify/voyager">spotify/</a><b><a href="https://github.com/spotify/voyager">voyager</a></b> ⭐ 1,535    
   🛰️ An approximate nearest-neighbor search library for Python and Java with a focus on ease of use, simplicity, and deployability.  
   🔗 [spotify.github.io/voyager](https://spotify.github.io/voyager/)  

126. <a href="https://github.com/jina-ai/finetuner">jina-ai/</a><b><a href="https://github.com/jina-ai/finetuner">finetuner</a></b> ⭐ 1,508    
   :dart: Task-oriented embedding tuning for BERT, CLIP, etc.  
   🔗 [finetuner.jina.ai](https://finetuner.jina.ai)  

127. <a href="https://github.com/patchy631/machine-learning">patchy631/</a><b><a href="https://github.com/patchy631/machine-learning">machine-learning</a></b> ⭐ 1,505    
   Machine Learning Tutorials Repository  

128. <a href="https://github.com/lightning-ai/lightning-thunder">lightning-ai/</a><b><a href="https://github.com/lightning-ai/lightning-thunder">lightning-thunder</a></b> ⭐ 1,437    
   Thunder is a source-to-source compiler for PyTorch. It makes PyTorch programs faster by combining and using different hardware executors at once  

129. <a href="https://github.com/gradio-app/trackio">gradio-app/</a><b><a href="https://github.com/gradio-app/trackio">trackio</a></b> ⭐ 1,230    
   A lightweight, local-first, and 🆓 experiment tracking library from Hugging Face 🤗  

130. <a href="https://github.com/huggingface/quanto">huggingface/</a><b><a href="https://github.com/huggingface/quanto">optimum-quanto</a></b> ⭐ 1,020    
   A pytorch quantization backend for optimum  

131. <a href="https://github.com/criteo/autofaiss">criteo/</a><b><a href="https://github.com/criteo/autofaiss">autofaiss</a></b> ⭐ 893    
   Automatically create Faiss knn indices with the most optimal similarity search parameters.  
   🔗 [criteo.github.io/autofaiss](https://criteo.github.io/autofaiss/)  

132. <a href="https://github.com/trent-b/iterative-stratification">trent-b/</a><b><a href="https://github.com/trent-b/iterative-stratification">iterative-stratification</a></b> ⭐ 882    
   Provides scikit-learn compatible cross validators with stratification for multilabel data.  

133. <a href="https://github.com/minishlab/semhash">minishlab/</a><b><a href="https://github.com/minishlab/semhash">semhash</a></b> ⭐ 878    
   SemHash is a lightweight and flexible tool for deduplicating datasets using semantic similarity. It combines fast embedding generation from Model2Vec with efficient ANN-based similarity search through Vicinity  
   🔗 [minish.ai/packages/semhash](https://minish.ai/packages/semhash)  

134. <a href="https://github.com/nomic-ai/contrastors">nomic-ai/</a><b><a href="https://github.com/nomic-ai/contrastors">contrastors</a></b> ⭐ 773    
   Contrastive learning toolkit that enables researchers and engineers to train and evaluate contrastive models efficiently.  

135. <a href="https://github.com/intel/intel-npu-acceleration-library">intel/</a><b><a href="https://github.com/intel/intel-npu-acceleration-library">intel-npu-acceleration-library</a></b> ⭐ 701    
   The Intel NPU Acceleration Library is a Python library designed to boost the efficiency of your applications by leveraging the power of the Intel Neural Processing Unit (NPU) to perform high-speed computations on compatible hardware.  

136. <a href="https://github.com/nicolas-hbt/pygraft">nicolas-hbt/</a><b><a href="https://github.com/nicolas-hbt/pygraft">pygraft</a></b> ⭐ 696    
   Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips  
   🔗 [pygraft.readthedocs.io/en/latest](https://pygraft.readthedocs.io/en/latest/)  

137. <a href="https://github.com/eleutherai/sae">eleutherai/</a><b><a href="https://github.com/eleutherai/sae">sparsify</a></b> ⭐ 685    
   This library trains k-sparse autoencoders (SAEs) on the residual stream activations of HuggingFace language models, roughly following the recipe detailed in Scaling and evaluating sparse autoencoders (Gao et al. 2024)  

138. <a href="https://github.com/hkust-knowcomp/autoschemakg">hkust-knowcomp/</a><b><a href="https://github.com/hkust-knowcomp/autoschemakg">AutoSchemaKG</a></b> ⭐ 669    
   A Knowledge Graph Construction Framework with Schema Generation and Knowledge Graph Completion  
   🔗 [hkust-knowcomp.github.io/autoschemakg](https://hkust-knowcomp.github.io/AutoSchemaKG/)  

139. <a href="https://github.com/google-deepmind/limit">google-deepmind/</a><b><a href="https://github.com/google-deepmind/limit">limit</a></b> ⭐ 619    
   On the Theoretical Limitations of Embedding-Based Retrieval  
   🔗 [arxiv.org/abs/2508.21038](https://arxiv.org/abs/2508.21038)  

140. <a href="https://github.com/apple/ml-l3m">apple/</a><b><a href="https://github.com/apple/ml-l3m">ml-l3m</a></b> ⭐ 229    
   A flexible library for training any type of large model, regardless of modality. Instead of more traditional approaches, we opt for a config-heavy approach  

141. <a href="https://github.com/dylanhogg/gptauthor">dylanhogg/</a><b><a href="https://github.com/dylanhogg/gptauthor">gptauthor</a></b> ⭐ 97    
   GPTAuthor is an AI tool for writing long form, multi-chapter stories given a story prompt.  

142. <a href="https://github.com/awslabs/stickler">awslabs/</a><b><a href="https://github.com/awslabs/stickler">stickler</a></b> ⭐ 23    
   A library for evaluating structured data and AI outputs with weighted field comparison and custom comparators  
   🔗 [awslabs.github.io/stickler](https://awslabs.github.io/stickler/)  

143. <a href="https://github.com/wjbmattingly/gliner-finetune">wjbmattingly/</a><b><a href="https://github.com/wjbmattingly/gliner-finetune">gliner-finetune</a></b> ⭐ 14    
   A library to generate synthetic data using LLM models, process this data, and then use it to train a GLiNER model. GLiNER is a Named Entity Recognition (NER) framework.  

## Machine Learning - Deep Learning

Machine learning libraries that cross over with deep learning in some way.  

1. <a href="https://github.com/tensorflow/tensorflow">tensorflow/</a><b><a href="https://github.com/tensorflow/tensorflow">tensorflow</a></b> ⭐ 193,464    
   An Open Source Machine Learning Framework for Everyone  
   🔗 [tensorflow.org](https://tensorflow.org)  

2. <a href="https://github.com/pytorch/pytorch">pytorch/</a><b><a href="https://github.com/pytorch/pytorch">pytorch</a></b> ⭐ 96,869    
   Tensors and Dynamic neural networks in Python with strong GPU acceleration  
   🔗 [pytorch.org](https://pytorch.org)  

3. <a href="https://github.com/openai/whisper">openai/</a><b><a href="https://github.com/openai/whisper">whisper</a></b> ⭐ 93,624    
   Robust Speech Recognition via Large-Scale Weak Supervision  

4. <a href="https://github.com/keras-team/keras">keras-team/</a><b><a href="https://github.com/keras-team/keras">keras</a></b> ⭐ 63,738    
   Deep Learning for humans  
   🔗 [keras.io](http://keras.io/)  

5. <a href="https://github.com/deepfakes/faceswap">deepfakes/</a><b><a href="https://github.com/deepfakes/faceswap">faceswap</a></b> ⭐ 54,915    
   Deepfakes Software For All  
   🔗 [www.faceswap.dev](https://www.faceswap.dev)  

6. <a href="https://github.com/facebookresearch/segment-anything">facebookresearch/</a><b><a href="https://github.com/facebookresearch/segment-anything">segment-anything</a></b> ⭐ 53,249    
   The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.  

7. <a href="https://github.com/microsoft/deepspeed">microsoft/</a><b><a href="https://github.com/microsoft/deepspeed">DeepSpeed</a></b> ⭐ 41,382    
   DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.  
   🔗 [www.deepspeed.ai](https://www.deepspeed.ai/)  

8. <a href="https://github.com/rwightman/pytorch-image-models">rwightman/</a><b><a href="https://github.com/rwightman/pytorch-image-models">pytorch-image-models</a></b> ⭐ 36,256    
   The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more  
   🔗 [huggingface.co/docs/timm](https://huggingface.co/docs/timm)  

9. <a href="https://github.com/xinntao/real-esrgan">xinntao/</a><b><a href="https://github.com/xinntao/real-esrgan">Real-ESRGAN</a></b> ⭐ 34,015    
   Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.  

10. <a href="https://github.com/facebookresearch/detectron2">facebookresearch/</a><b><a href="https://github.com/facebookresearch/detectron2">detectron2</a></b> ⭐ 33,986    
   Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.  
   🔗 [detectron2.readthedocs.io/en/latest](https://detectron2.readthedocs.io/en/latest/)  

11. <a href="https://github.com/openai/clip">openai/</a><b><a href="https://github.com/openai/clip">CLIP</a></b> ⭐ 32,375    
   CLIP (Contrastive Language-Image Pretraining),  Predict the most relevant text snippet given an image  

12. <a href="https://github.com/lightning-ai/pytorch-lightning">lightning-ai/</a><b><a href="https://github.com/lightning-ai/pytorch-lightning">pytorch-lightning</a></b> ⭐ 30,771    
   The deep learning framework to pretrain, finetune and deploy AI models. PyTorch Lightning is just organized PyTorch - Lightning disentangles PyTorch code to decouple the science from the engineering.  
   🔗 [lightning.ai/pytorch-lightning/?utm_source=ptl_readme&utm_medium=referral&utm_campaign=ptl_readme](https://lightning.ai/pytorch-lightning/?utm_source=ptl_readme&utm_medium=referral&utm_campaign=ptl_readme)  

13. <a href="https://github.com/google-research/tuning_playbook">google-research/</a><b><a href="https://github.com/google-research/tuning_playbook">tuning_playbook</a></b> ⭐ 29,721    
   A playbook for systematically maximizing the performance of deep learning models.  

14. <a href="https://github.com/facebookresearch/detectron">facebookresearch/</a><b><a href="https://github.com/facebookresearch/detectron">Detectron</a></b> ⭐ 26,409    
   FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.  

15. <a href="https://github.com/matterport/mask_rcnn">matterport/</a><b><a href="https://github.com/matterport/mask_rcnn">Mask_RCNN</a></b> ⭐ 25,497    
   Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow  

16. <a href="https://github.com/lucidrains/vit-pytorch">lucidrains/</a><b><a href="https://github.com/lucidrains/vit-pytorch">vit-pytorch</a></b> ⭐ 24,921    
   Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch  

17. <a href="https://github.com/paddlepaddle/paddle">paddlepaddle/</a><b><a href="https://github.com/paddlepaddle/paddle">Paddle</a></b> ⭐ 23,586    
   PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）  
   🔗 [www.paddlepaddle.org](http://www.paddlepaddle.org/)  

18. <a href="https://github.com/pyg-team/pytorch_geometric">pyg-team/</a><b><a href="https://github.com/pyg-team/pytorch_geometric">pytorch_geometric</a></b> ⭐ 23,414    
   Graph Neural Network Library for PyTorch  
   🔗 [pyg.org](https://pyg.org)  

19. <a href="https://github.com/sanster/lama-cleaner">sanster/</a><b><a href="https://github.com/sanster/lama-cleaner">IOPaint</a></b> ⭐ 22,642    
   Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.  
   🔗 [www.iopaint.com](https://www.iopaint.com/)  

20. <a href="https://github.com/danielgatis/rembg">danielgatis/</a><b><a href="https://github.com/danielgatis/rembg">rembg</a></b> ⭐ 21,624    
   Rembg is a tool to remove images background  

21. <a href="https://github.com/apache/incubator-mxnet">apache/</a><b><a href="https://github.com/apache/incubator-mxnet">mxnet</a></b> ⭐ 20,840    
   Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more  
   🔗 [mxnet.apache.org](https://mxnet.apache.org)  

22. <a href="https://github.com/rasbt/deeplearning-models">rasbt/</a><b><a href="https://github.com/rasbt/deeplearning-models">deeplearning-models</a></b> ⭐ 17,369    
   A collection of various deep learning architectures, models, and tips  

23. <a href="https://github.com/microsoft/swin-transformer">microsoft/</a><b><a href="https://github.com/microsoft/swin-transformer">Swin-Transformer</a></b> ⭐ 15,667    
   This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".  
   🔗 [arxiv.org/abs/2103.14030](https://arxiv.org/abs/2103.14030)  

24. <a href="https://github.com/albumentations-team/albumentations">albumentations-team/</a><b><a href="https://github.com/albumentations-team/albumentations">albumentations</a></b> ⭐ 15,266    
   Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125  
   🔗 [albumentations.ai](https://albumentations.ai)  

25. <a href="https://github.com/facebookresearch/detr">facebookresearch/</a><b><a href="https://github.com/facebookresearch/detr">detr</a></b> ⭐ 15,071    
   End-to-End Object Detection with Transformers  

26. <a href="https://github.com/nvidia/deeplearningexamples">nvidia/</a><b><a href="https://github.com/nvidia/deeplearningexamples">DeepLearningExamples</a></b> ⭐ 14,697    
   State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.  

27. <a href="https://github.com/dmlc/dgl">dmlc/</a><b><a href="https://github.com/dmlc/dgl">dgl</a></b> ⭐ 14,228    
   Python package built to ease deep learning on graph, on top of existing DL frameworks.  
   🔗 [dgl.ai](http://dgl.ai)  

28. <a href="https://github.com/mlfoundations/open_clip">mlfoundations/</a><b><a href="https://github.com/mlfoundations/open_clip">open_clip</a></b> ⭐ 13,289    
   Open source implementation of OpenAI's CLIP (Contrastive Language-Image Pre-training).  

29. <a href="https://github.com/tencent-hunyuan/hunyuanvideo">tencent-hunyuan/</a><b><a href="https://github.com/tencent-hunyuan/hunyuanvideo">HunyuanVideo</a></b> ⭐ 11,635    
   HunyuanVideo: A Systematic Framework For Large Video Generation Model  
   🔗 [aivideo.hunyuan.tencent.com](https://aivideo.hunyuan.tencent.com)  

30. <a href="https://github.com/kornia/kornia">kornia/</a><b><a href="https://github.com/kornia/kornia">kornia</a></b> ⭐ 11,031    
   🐍 Geometric Computer Vision Library for Spatial AI  
   🔗 [kornia.readthedocs.io](https://kornia.readthedocs.io)  

31. <a href="https://github.com/facebookresearch/pytorch3d">facebookresearch/</a><b><a href="https://github.com/facebookresearch/pytorch3d">pytorch3d</a></b> ⭐ 9,761    
   PyTorch3D is FAIR's library of reusable components for deep learning with 3D data  
   🔗 [pytorch3d.org](https://pytorch3d.org/)  

32. <a href="https://github.com/modelscope/facechain">modelscope/</a><b><a href="https://github.com/modelscope/facechain">facechain</a></b> ⭐ 9,497    
   FaceChain is a deep-learning toolchain for generating your Digital-Twin.  

33. <a href="https://github.com/arogozhnikov/einops">arogozhnikov/</a><b><a href="https://github.com/arogozhnikov/einops">einops</a></b> ⭐ 9,360    
   Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)  
   🔗 [einops.rocks](https://einops.rocks)  

34. <a href="https://github.com/keras-team/autokeras">keras-team/</a><b><a href="https://github.com/keras-team/autokeras">autokeras</a></b> ⭐ 9,290    
   AutoML library for deep learning  
   🔗 [autokeras.com](http://autokeras.com/)  

35. <a href="https://github.com/bytedance/monolith">bytedance/</a><b><a href="https://github.com/bytedance/monolith">monolith</a></b> ⭐ 9,259    
   A deep learning framework for large scale recommendation modeling with collisionless embedding and real time training captures.  

36. <a href="https://github.com/pyro-ppl/pyro">pyro-ppl/</a><b><a href="https://github.com/pyro-ppl/pyro">pyro</a></b> ⭐ 8,959    
   Deep universal probabilistic programming with Python and PyTorch  
   🔗 [pyro.ai](http://pyro.ai)  

37. <a href="https://github.com/facebookresearch/imagebind">facebookresearch/</a><b><a href="https://github.com/facebookresearch/imagebind">ImageBind</a></b> ⭐ 8,955    
   ImageBind One Embedding Space to Bind Them All  

38. <a href="https://github.com/nvidia/apex">nvidia/</a><b><a href="https://github.com/nvidia/apex">apex</a></b> ⭐ 8,899    
   A PyTorch Extension:  Tools for easy mixed precision and distributed training in Pytorch  

39. <a href="https://github.com/lucidrains/imagen-pytorch">lucidrains/</a><b><a href="https://github.com/lucidrains/imagen-pytorch">imagen-pytorch</a></b> ⭐ 8,409    
   Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch  

40. <a href="https://github.com/google/trax">google/</a><b><a href="https://github.com/google/trax">trax</a></b> ⭐ 8,302    
   Trax — Deep Learning with Clear Code and Speed  

41. <a href="https://github.com/xpixelgroup/basicsr">xpixelgroup/</a><b><a href="https://github.com/xpixelgroup/basicsr">BasicSR</a></b> ⭐ 8,062    
   Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.  
   🔗 [basicsr.readthedocs.io/en/latest](https://basicsr.readthedocs.io/en/latest/)  

42. <a href="https://github.com/google/flax">google/</a><b><a href="https://github.com/google/flax">flax</a></b> ⭐ 7,046    
   Flax is a neural network library for JAX that is designed for flexibility.  
   🔗 [flax.readthedocs.io](https://flax.readthedocs.io)  

43. <a href="https://github.com/skorch-dev/skorch">skorch-dev/</a><b><a href="https://github.com/skorch-dev/skorch">skorch</a></b> ⭐ 6,149    
   A scikit-learn compatible neural network library that wraps PyTorch  

44. <a href="https://github.com/facebookresearch/mmf">facebookresearch/</a><b><a href="https://github.com/facebookresearch/mmf">mmf</a></b> ⭐ 5,616    
   A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)  
   🔗 [mmf.sh](https://mmf.sh/)  

45. <a href="https://github.com/mosaicml/composer">mosaicml/</a><b><a href="https://github.com/mosaicml/composer">composer</a></b> ⭐ 5,458    
   Supercharge Your Model Training  
   🔗 [docs.mosaicml.com](http://docs.mosaicml.com)  

46. <a href="https://github.com/nvidiagameworks/kaolin">nvidiagameworks/</a><b><a href="https://github.com/nvidiagameworks/kaolin">kaolin</a></b> ⭐ 5,021    
   A PyTorch Library for Accelerating 3D Deep Learning Research  

47. <a href="https://github.com/deci-ai/super-gradients">deci-ai/</a><b><a href="https://github.com/deci-ai/super-gradients">super-gradients</a></b> ⭐ 4,997    
   Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.  
   🔗 [www.supergradients.com](https://www.supergradients.com)  

48. <a href="https://github.com/pytorch/ignite">pytorch/</a><b><a href="https://github.com/pytorch/ignite">ignite</a></b> ⭐ 4,727    
   High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.  
   🔗 [pytorch-ignite.ai](https://pytorch-ignite.ai)  

49. <a href="https://github.com/facebookincubator/aitemplate">facebookincubator/</a><b><a href="https://github.com/facebookincubator/aitemplate">AITemplate</a></b> ⭐ 4,701    
   AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.  

50. <a href="https://github.com/cvg/lightglue">cvg/</a><b><a href="https://github.com/cvg/lightglue">LightGlue</a></b> ⭐ 4,322    
   LightGlue: Local Feature Matching at Light Speed (ICCV 2023)  

51. <a href="https://github.com/modelscope/clearervoice-studio">modelscope/</a><b><a href="https://github.com/modelscope/clearervoice-studio">ClearerVoice-Studio</a></b> ⭐ 3,856    
   An AI-Powered Speech Processing Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Enhancement, Separation, and Target Speaker Extraction, etc.  

52. <a href="https://github.com/google-research/scenic">google-research/</a><b><a href="https://github.com/google-research/scenic">scenic</a></b> ⭐ 3,757    
   Scenic: A Jax Library for Computer Vision Research and Beyond  

53. <a href="https://github.com/williamyang1991/vtoonify">williamyang1991/</a><b><a href="https://github.com/williamyang1991/vtoonify">VToonify</a></b> ⭐ 3,598    
   [SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer  

54. <a href="https://github.com/pytorch/botorch">pytorch/</a><b><a href="https://github.com/pytorch/botorch">botorch</a></b> ⭐ 3,452    
   Bayesian optimization in PyTorch  
   🔗 [botorch.org](https://botorch.org/)  

55. <a href="https://github.com/facebookresearch/pytorch-biggraph">facebookresearch/</a><b><a href="https://github.com/facebookresearch/pytorch-biggraph">PyTorch-BigGraph</a></b> ⭐ 3,419    
   Generate embeddings from large-scale graph-structured data.  
   🔗 [torchbiggraph.readthedocs.io](https://torchbiggraph.readthedocs.io/)  

56. <a href="https://github.com/alpa-projects/alpa">alpa-projects/</a><b><a href="https://github.com/alpa-projects/alpa">alpa</a></b> ⭐ 3,175    
   Training and serving large-scale neural networks with auto parallelization.  
   🔗 [alpa.ai](https://alpa.ai)  

57. <a href="https://github.com/deepmind/dm-haiku">deepmind/</a><b><a href="https://github.com/deepmind/dm-haiku">dm-haiku</a></b> ⭐ 3,172    
   JAX-based neural network library  
   🔗 [dm-haiku.readthedocs.io](https://dm-haiku.readthedocs.io)  

58. <a href="https://github.com/nerdyrodent/vqgan-clip">nerdyrodent/</a><b><a href="https://github.com/nerdyrodent/vqgan-clip">VQGAN-CLIP</a></b> ⭐ 2,661    
   Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.  

59. <a href="https://github.com/pytorch/torchrec">pytorch/</a><b><a href="https://github.com/pytorch/torchrec">torchrec</a></b> ⭐ 2,462    
   Pytorch domain library for recommendation systems  
   🔗 [pytorch.org/torchrec](https://pytorch.org/torchrec/)  

60. <a href="https://github.com/danielegrattarola/spektral">danielegrattarola/</a><b><a href="https://github.com/danielegrattarola/spektral">spektral</a></b> ⭐ 2,393    
   Graph Neural Networks with Keras and Tensorflow 2.  
   🔗 [graphneural.network](https://graphneural.network)  

61. <a href="https://github.com/google-research/electra">google-research/</a><b><a href="https://github.com/google-research/electra">electra</a></b> ⭐ 2,369    
   ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators  

62. <a href="https://github.com/fepegar/torchio">fepegar/</a><b><a href="https://github.com/fepegar/torchio">torchio</a></b> ⭐ 2,346    
   Medical imaging processing for AI applications.  
   🔗 [docs.torchio.org](https://docs.torchio.org/)  

63. <a href="https://github.com/neuralmagic/sparseml">neuralmagic/</a><b><a href="https://github.com/neuralmagic/sparseml">sparseml</a></b> ⭐ 2,143    
   Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models  

64. <a href="https://github.com/jeshraghian/snntorch">jeshraghian/</a><b><a href="https://github.com/jeshraghian/snntorch">snntorch</a></b> ⭐ 1,855    
   Deep and online learning with spiking neural networks in Python  
   🔗 [snntorch.readthedocs.io/en/latest](https://snntorch.readthedocs.io/en/latest/)  

65. <a href="https://github.com/sakanaai/continuous-thought-machines">sakanaai/</a><b><a href="https://github.com/sakanaai/continuous-thought-machines">continuous-thought-machines</a></b> ⭐ 1,728    
   Continuous Thought Machine (CTM), a model designed to unfold and then leverage neural activity as the underlying mechanism for observation and action  
   🔗 [pub.sakana.ai/ctm](https://pub.sakana.ai/ctm/)  

66. <a href="https://github.com/xl0/lovely-tensors">xl0/</a><b><a href="https://github.com/xl0/lovely-tensors">lovely-tensors</a></b> ⭐ 1,353    
   Tensors, for human consumption  
   🔗 [xl0.github.io/lovely-tensors](https://xl0.github.io/lovely-tensors)  

67. <a href="https://github.com/allenai/reward-bench">allenai/</a><b><a href="https://github.com/allenai/reward-bench">reward-bench</a></b> ⭐ 683    
   RewardBench is a benchmark designed to evaluate the capabilities and safety of reward models (including those trained with Direct Preference Optimization, DPO)  
   🔗 [huggingface.co/spaces/allenai/reward-bench](https://huggingface.co/spaces/allenai/reward-bench)  

## Machine Learning - Interpretability

Machine learning interpretability libraries. Covers explainability, prediction explainations, dashboards, understanding knowledge development in training.  

1. <a href="https://github.com/slundberg/shap">slundberg/</a><b><a href="https://github.com/slundberg/shap">shap</a></b> ⭐ 24,945    
   A game theoretic approach to explain the output of any machine learning model.  
   🔗 [shap.readthedocs.io](https://shap.readthedocs.io)  

2. <a href="https://github.com/marcotcr/lime">marcotcr/</a><b><a href="https://github.com/marcotcr/lime">lime</a></b> ⭐ 12,090    
   Lime: Explaining the predictions of any machine learning classifier  

3. <a href="https://github.com/arize-ai/phoenix">arize-ai/</a><b><a href="https://github.com/arize-ai/phoenix">phoenix</a></b> ⭐ 8,344    
   AI Observability & Evaluation  
   🔗 [arize.com/docs/phoenix](https://arize.com/docs/phoenix)  

4. <a href="https://github.com/interpretml/interpret">interpretml/</a><b><a href="https://github.com/interpretml/interpret">interpret</a></b> ⭐ 6,768    
   Fit interpretable models. Explain blackbox machine learning.   
   🔗 [interpret.ml/docs](https://interpret.ml/docs)  

5. <a href="https://github.com/pytorch/captum">pytorch/</a><b><a href="https://github.com/pytorch/captum">captum</a></b> ⭐ 5,537    
   Model interpretability and understanding for PyTorch  
   🔗 [captum.ai](https://captum.ai)  

6. <a href="https://github.com/tensorflow/lucid">tensorflow/</a><b><a href="https://github.com/tensorflow/lucid">lucid</a></b> ⭐ 4,705    
   A collection of infrastructure and tools for research in neural network interpretability.  

7. <a href="https://github.com/pair-code/lit">pair-code/</a><b><a href="https://github.com/pair-code/lit">lit</a></b> ⭐ 3,628    
   The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.  
   🔗 [pair-code.github.io/lit](https://pair-code.github.io/lit)  

8. <a href="https://github.com/maif/shapash">maif/</a><b><a href="https://github.com/maif/shapash">shapash</a></b> ⭐ 3,119    
   🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models  
   🔗 [maif.github.io/shapash](https://maif.github.io/shapash/)  

9. <a href="https://github.com/transformerlensorg/transformerlens">transformerlensorg/</a><b><a href="https://github.com/transformerlensorg/transformerlens">TransformerLens</a></b> ⭐ 3,012    
   A library for mechanistic interpretability of GPT-style language models  
   🔗 [transformerlensorg.github.io/transformerlens](https://transformerlensorg.github.io/TransformerLens/)  

10. <a href="https://github.com/eleutherai/pythia">eleutherai/</a><b><a href="https://github.com/eleutherai/pythia">pythia</a></b> ⭐ 2,715    
   Interpretability analysis and scaling laws to understand how knowledge develops and evolves during training in autoregressive transformers  

11. <a href="https://github.com/seldonio/alibi">seldonio/</a><b><a href="https://github.com/seldonio/alibi">alibi</a></b> ⭐ 2,607    
   Algorithms for explaining machine learning models  
   🔗 [docs.seldon.io/projects/alibi/en/stable](https://docs.seldon.io/projects/alibi/en/stable/)  

12. <a href="https://github.com/oegedijk/explainerdashboard">oegedijk/</a><b><a href="https://github.com/oegedijk/explainerdashboard">explainerdashboard</a></b> ⭐ 2,469    
   Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.  
   🔗 [explainerdashboard.readthedocs.io](http://explainerdashboard.readthedocs.io)  

13. <a href="https://github.com/jalammar/ecco">jalammar/</a><b><a href="https://github.com/jalammar/ecco">ecco</a></b> ⭐ 2,073    
   Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).  
   🔗 [ecco.readthedocs.io](https://ecco.readthedocs.io)  

14. <a href="https://github.com/google-deepmind/penzai">google-deepmind/</a><b><a href="https://github.com/google-deepmind/penzai">penzai</a></b> ⭐ 1,851    
   A JAX library for writing models as legible, functional pytree data structures, along with tools for visualizing, modifying, and analyzing them. Penzai focuses on making it easy to do stuff with models after they have been trained  
   🔗 [penzai.readthedocs.io](https://penzai.readthedocs.io/)  

15. <a href="https://github.com/stanfordnlp/pyreft">stanfordnlp/</a><b><a href="https://github.com/stanfordnlp/pyreft">pyreft</a></b> ⭐ 1,554    
   Stanford NLP Python library for Representation Finetuning (ReFT)  
   🔗 [arxiv.org/abs/2404.03592](https://arxiv.org/abs/2404.03592)  

16. <a href="https://github.com/selfexplainml/piml-toolbox">selfexplainml/</a><b><a href="https://github.com/selfexplainml/piml-toolbox">PiML-Toolbox</a></b> ⭐ 1,285    
   PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics  
   🔗 [selfexplainml.github.io/piml-toolbox](https://selfexplainml.github.io/PiML-Toolbox)  

17. <a href="https://github.com/ethicalml/xai">ethicalml/</a><b><a href="https://github.com/ethicalml/xai">xai</a></b> ⭐ 1,221    
   XAI is a Machine Learning library that is designed with AI explainability in its core. XAI contains various tools that enable for analysis and evaluation of data and models  
   🔗 [ethical.institute/principles.html#commitment-3](https://ethical.institute/principles.html#commitment-3)  

18. <a href="https://github.com/jbloomaus/saelens">jbloomaus/</a><b><a href="https://github.com/jbloomaus/saelens">SAELens</a></b> ⭐ 1,174    
   Training Sparse Autoencoders on LLms. Analyse sparse autoencoders and neural network internals.  
   🔗 [decoderesearch.github.io/saelens](https://decoderesearch.github.io/SAELens/)  

19. <a href="https://github.com/andyzoujm/representation-engineering">andyzoujm/</a><b><a href="https://github.com/andyzoujm/representation-engineering">representation-engineering</a></b> ⭐ 942    
   Representation Engineering: A Top-Down Approach to AI Transparency  
   🔗 [www.ai-transparency.org](https://www.ai-transparency.org/)  

20. <a href="https://github.com/ndif-team/nnsight">ndif-team/</a><b><a href="https://github.com/ndif-team/nnsight">nnsight</a></b> ⭐ 782    
   The nnsight package enables interpreting and manipulating the internals of deep learned models.  
   🔗 [nnsight.net](https://nnsight.net/)  

21. <a href="https://github.com/labmlai/inspectus">labmlai/</a><b><a href="https://github.com/labmlai/inspectus">inspectus</a></b> ⭐ 705    
   Inspectus provides visualization tools for attention mechanisms in deep learning models. It provides a set of comprehensive views, making it easier to understand how these models work.  

## Machine Learning - Ops

MLOps tools, frameworks and libraries: intersection of machine learning, data engineering and DevOps; deployment, health, diagnostics and governance of ML models.  

1. <a href="https://github.com/apache/airflow">apache/</a><b><a href="https://github.com/apache/airflow">airflow</a></b> ⭐ 43,992    
   Apache Airflow - A platform to programmatically author, schedule, and monitor workflows  
   🔗 [airflow.apache.org](https://airflow.apache.org/)  

2. <a href="https://github.com/ray-project/ray">ray-project/</a><b><a href="https://github.com/ray-project/ray">ray</a></b> ⭐ 40,957    
   Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.  
   🔗 [ray.io](https://ray.io)  

3. <a href="https://github.com/kestra-io/kestra">kestra-io/</a><b><a href="https://github.com/kestra-io/kestra">kestra</a></b> ⭐ 26,269    
   Event Driven Orchestration & Scheduling Platform for Mission Critical Applications  
   🔗 [kestra.io](https://kestra.io)  

4. <a href="https://github.com/mlflow/mlflow">mlflow/</a><b><a href="https://github.com/mlflow/mlflow">mlflow</a></b> ⭐ 23,795    
   The open source developer platform to build AI agents and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.  
   🔗 [mlflow.org](https://mlflow.org)  

5. <a href="https://github.com/jlowin/fastmcp">jlowin/</a><b><a href="https://github.com/jlowin/fastmcp">fastmcp</a></b> ⭐ 22,279    
   FastMCP is the standard framework for building MCP servers and clients. FastMCP 1.0 was incorporated into the official MCP Python SDK.  
   🔗 [gofastmcp.com](https://gofastmcp.com)  

6. <a href="https://github.com/prefecthq/prefect">prefecthq/</a><b><a href="https://github.com/prefecthq/prefect">prefect</a></b> ⭐ 21,412    
   Prefect is a workflow orchestration framework for building resilient data pipelines in Python.  
   🔗 [prefect.io](https://prefect.io)  

7. <a href="https://github.com/langfuse/langfuse">langfuse/</a><b><a href="https://github.com/langfuse/langfuse">langfuse</a></b> ⭐ 21,017    
   🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23   
   🔗 [langfuse.com/docs](https://langfuse.com/docs)  

8. <a href="https://github.com/spotify/luigi">spotify/</a><b><a href="https://github.com/spotify/luigi">luigi</a></b> ⭐ 18,628    
   Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.   

9. <a href="https://github.com/iterative/dvc">iterative/</a><b><a href="https://github.com/iterative/dvc">dvc</a></b> ⭐ 15,302    
   🦉 Data Versioning and ML Experiments  
   🔗 [dvc.org](https://dvc.org)  

10. <a href="https://github.com/dagster-io/dagster">dagster-io/</a><b><a href="https://github.com/dagster-io/dagster">dagster</a></b> ⭐ 14,798    
   An orchestration platform for the development, production, and observation of data assets.  
   🔗 [dagster.io](https://dagster.io)  

11. <a href="https://github.com/horovod/horovod">horovod/</a><b><a href="https://github.com/horovod/horovod">horovod</a></b> ⭐ 14,655    
   Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.  
   🔗 [horovod.ai](http://horovod.ai)  

12. <a href="https://github.com/dbt-labs/dbt-core">dbt-labs/</a><b><a href="https://github.com/dbt-labs/dbt-core">dbt-core</a></b> ⭐ 12,132    
   dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.  
   🔗 [getdbt.com](https://getdbt.com)  

13. <a href="https://github.com/bentoml/openllm">bentoml/</a><b><a href="https://github.com/bentoml/openllm">OpenLLM</a></b> ⭐ 12,063    
   Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.  
   🔗 [bentoml.com](https://bentoml.com)  

14. <a href="https://github.com/ludwig-ai/ludwig">ludwig-ai/</a><b><a href="https://github.com/ludwig-ai/ludwig">ludwig</a></b> ⭐ 11,644    
   Low-code framework for building custom LLMs, neural networks, and other AI models  
   🔗 [ludwig.ai](http://ludwig.ai)  

15. <a href="https://github.com/great-expectations/great_expectations">great-expectations/</a><b><a href="https://github.com/great-expectations/great_expectations">great_expectations</a></b> ⭐ 11,095    
   Always know what to expect from your data.  
   🔗 [docs.greatexpectations.io](https://docs.greatexpectations.io/)  

16. <a href="https://github.com/huggingface/text-generation-inference">huggingface/</a><b><a href="https://github.com/huggingface/text-generation-inference">text-generation-inference</a></b> ⭐ 10,739    
   A Rust, Python and gRPC server for text generation inference. Used in production at HuggingFace to power Hugging Chat, the Inference API and Inference Endpoint.  
   🔗 [hf.co/docs/text-generation-inference](http://hf.co/docs/text-generation-inference)  

17. <a href="https://github.com/kedro-org/kedro">kedro-org/</a><b><a href="https://github.com/kedro-org/kedro">kedro</a></b> ⭐ 10,718    
   Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.  
   🔗 [kedro.org](https://kedro.org)  

18. <a href="https://github.com/netflix/metaflow">netflix/</a><b><a href="https://github.com/netflix/metaflow">metaflow</a></b> ⭐ 9,728    
   Build, Manage and Deploy AI/ML Systems  
   🔗 [metaflow.org](https://metaflow.org)  

19. <a href="https://github.com/activeloopai/deeplake">activeloopai/</a><b><a href="https://github.com/activeloopai/deeplake">deeplake</a></b> ⭐ 8,982    
   Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai  
   🔗 [activeloop.ai](https://activeloop.ai)  

20. <a href="https://github.com/mage-ai/mage-ai">mage-ai/</a><b><a href="https://github.com/mage-ai/mage-ai">mage-ai</a></b> ⭐ 8,622    
   🧙 Build, run, and manage data pipelines for integrating and transforming data.  
   🔗 [www.mage.ai](https://www.mage.ai)  

21. <a href="https://github.com/bentoml/bentoml">bentoml/</a><b><a href="https://github.com/bentoml/bentoml">BentoML</a></b> ⭐ 8,384    
   The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!  
   🔗 [bentoml.com](https://bentoml.com)  

22. <a href="https://github.com/internlm/lmdeploy">internlm/</a><b><a href="https://github.com/internlm/lmdeploy">lmdeploy</a></b> ⭐ 7,553    
   LMDeploy is a toolkit for compressing, deploying, and serving LLMs.  
   🔗 [lmdeploy.readthedocs.io/en/latest](https://lmdeploy.readthedocs.io/en/latest)  

23. <a href="https://github.com/evidentlyai/evidently">evidentlyai/</a><b><a href="https://github.com/evidentlyai/evidently">evidently</a></b> ⭐ 7,041    
   Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.  
   🔗 [discord.gg/xzjkranp8b](https://discord.gg/xZjKRaNp8b)  

24. <a href="https://github.com/flyteorg/flyte">flyteorg/</a><b><a href="https://github.com/flyteorg/flyte">flyte</a></b> ⭐ 6,694    
   Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.  
   🔗 [flyte.org](https://flyte.org)  

25. <a href="https://github.com/feast-dev/feast">feast-dev/</a><b><a href="https://github.com/feast-dev/feast">feast</a></b> ⭐ 6,645    
   The Open Source Feature Store for AI/ML  
   🔗 [feast.dev](https://feast.dev)  

26. <a href="https://github.com/adap/flower">adap/</a><b><a href="https://github.com/adap/flower">flower</a></b> ⭐ 6,598    
   Flower: A Friendly Federated AI Framework  
   🔗 [flower.ai](https://flower.ai)  

27. <a href="https://github.com/allegroai/clearml">allegroai/</a><b><a href="https://github.com/allegroai/clearml">clearml</a></b> ⭐ 6,468    
   ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution  
   🔗 [clear.ml/docs](https://clear.ml/docs)  

28. <a href="https://github.com/aimhubio/aim">aimhubio/</a><b><a href="https://github.com/aimhubio/aim">aim</a></b> ⭐ 5,966    
   Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.  
   🔗 [aimstack.io](https://aimstack.io)  

29. <a href="https://github.com/zenml-io/zenml">zenml-io/</a><b><a href="https://github.com/zenml-io/zenml">zenml</a></b> ⭐ 5,166    
   ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.  
   🔗 [zenml.io](https://zenml.io)  

30. <a href="https://github.com/internlm/xtuner">internlm/</a><b><a href="https://github.com/internlm/xtuner">xtuner</a></b> ⭐ 5,061    
   A Next-Generation Training Engine Built for Ultra-Large MoE Models  
   🔗 [xtuner.readthedocs.io/zh-cn/latest](https://xtuner.readthedocs.io/zh-cn/latest/)  

31. <a href="https://github.com/orchest/orchest">orchest/</a><b><a href="https://github.com/orchest/orchest">orchest</a></b> ⭐ 4,144    
   Build data pipelines, the easy way 🛠️  
   🔗 [orchest.readthedocs.io/en/stable](https://orchest.readthedocs.io/en/stable/)  

32. <a href="https://github.com/kubeflow/pipelines">kubeflow/</a><b><a href="https://github.com/kubeflow/pipelines">pipelines</a></b> ⭐ 4,062    
   Machine Learning Pipelines for Kubeflow  
   🔗 [www.kubeflow.org/docs/components/pipelines](https://www.kubeflow.org/docs/components/pipelines/)  

33. <a href="https://github.com/polyaxon/polyaxon">polyaxon/</a><b><a href="https://github.com/polyaxon/polyaxon">polyaxon</a></b> ⭐ 3,692    
   MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle  
   🔗 [polyaxon.com](https://polyaxon.com)  

34. <a href="https://github.com/ploomber/ploomber">ploomber/</a><b><a href="https://github.com/ploomber/ploomber">ploomber</a></b> ⭐ 3,622    
   The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️  
   🔗 [docs.ploomber.io](https://docs.ploomber.io)  

35. <a href="https://github.com/towhee-io/towhee">towhee-io/</a><b><a href="https://github.com/towhee-io/towhee">towhee</a></b> ⭐ 3,449    
   Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.  
   🔗 [towhee.io](https://towhee.io)  

36. <a href="https://github.com/azure/pyrit">azure/</a><b><a href="https://github.com/azure/pyrit">PyRIT</a></b> ⭐ 3,342    
   The Python Risk Identification Tool for generative AI (PyRIT) is an open access automation framework to empower security professionals and ML engineers to red team foundation models and their applications.  
   🔗 [azure.github.io/pyrit](https://azure.github.io/PyRIT/)  

37. <a href="https://github.com/determined-ai/determined">determined-ai/</a><b><a href="https://github.com/determined-ai/determined">determined</a></b> ⭐ 3,211    
   Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.  
   🔗 [determined.ai](https://determined.ai)  

38. <a href="https://github.com/leptonai/leptonai">leptonai/</a><b><a href="https://github.com/leptonai/leptonai">leptonai</a></b> ⭐ 2,804    
   A Pythonic framework to simplify AI service building  
   🔗 [lepton.ai](https://lepton.ai/)  

39. <a href="https://github.com/michaelfeil/infinity">michaelfeil/</a><b><a href="https://github.com/michaelfeil/infinity">infinity</a></b> ⭐ 2,635    
   Infinity is a high-throughput, low-latency REST API for serving text-embeddings, reranking models, clip, clap and colpali  
   🔗 [michaelfeil.github.io/infinity](https://michaelfeil.github.io/infinity/)  

40. <a href="https://github.com/apache/hamilton">apache/</a><b><a href="https://github.com/apache/hamilton">hamilton</a></b> ⭐ 2,374    
   Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.  
   🔗 [hamilton.apache.org](https://hamilton.apache.org/)  

41. <a href="https://github.com/meltano/meltano">meltano/</a><b><a href="https://github.com/meltano/meltano">meltano</a></b> ⭐ 2,326    
   Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.  
   🔗 [meltano.com](https://meltano.com/)  

42. <a href="https://github.com/labmlai/labml">labmlai/</a><b><a href="https://github.com/labmlai/labml">labml</a></b> ⭐ 2,293    
   🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱  
   🔗 [labml.ai](https://labml.ai)  

43. <a href="https://github.com/vllm-project/production-stack">vllm-project/</a><b><a href="https://github.com/vllm-project/production-stack">production-stack</a></b> ⭐ 2,122    
   vLLM’s reference system for K8S-native cluster-wide deployment with community-driven performance optimization  
   🔗 [docs.vllm.ai/projects/production-stack](https://docs.vllm.ai/projects/production-stack)  

44. <a href="https://github.com/dstackai/dstack">dstackai/</a><b><a href="https://github.com/dstackai/dstack">dstack</a></b> ⭐ 2,018    
   dstack is an open-source control plane for running development, training, and inference jobs on GPUs—across hyperscalers, neoclouds, or on-prem.  
   🔗 [dstack.ai/docs](https://dstack.ai/docs)  

45. <a href="https://github.com/dagworks-inc/burr">dagworks-inc/</a><b><a href="https://github.com/dagworks-inc/burr">burr</a></b> ⭐ 1,891    
   Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.  
   🔗 [burr.apache.org](https://burr.apache.org/)  

46. <a href="https://github.com/substratusai/kubeai">substratusai/</a><b><a href="https://github.com/substratusai/kubeai">kubeai</a></b> ⭐ 1,133    
   AI Inference Operator for Kubernetes. The easiest way to serve ML models in production. Supports VLMs, LLMs, embeddings, and speech-to-text.  
   🔗 [www.kubeai.org](https://www.kubeai.org)  

47. <a href="https://github.com/arize-ai/openinference">arize-ai/</a><b><a href="https://github.com/arize-ai/openinference">openinference</a></b> ⭐ 833    
   OpenInference is a set of conventions and plugins that is complimentary to OpenTelemetry to enable tracing of AI applications.  
   🔗 [arize-ai.github.io/openinference](https://arize-ai.github.io/openinference/)  

48. <a href="https://github.com/lightonai/pylate">lightonai/</a><b><a href="https://github.com/lightonai/pylate">pylate</a></b> ⭐ 690    
   Built on Sentence Transformers, designed to simplify fine-tuning, inference, and retrieval with state-of-the-art ColBERT models  
   🔗 [lightonai.github.io/pylate](https://lightonai.github.io/pylate/)  

## Machine Learning - Reinforcement

Machine learning libraries and toolkits that cross over with reinforcement learning in some way: agent reinforcement learning, agent environemnts, RLHF  

1. <a href="https://github.com/openai/gym">openai/</a><b><a href="https://github.com/openai/gym">gym</a></b> ⭐ 36,974    
   A toolkit for developing and comparing reinforcement learning algorithms.  
   🔗 [www.gymlibrary.dev](https://www.gymlibrary.dev)  

2. <a href="https://github.com/lvwerra/trl">lvwerra/</a><b><a href="https://github.com/lvwerra/trl">trl</a></b> ⭐ 17,119    
   Train transformer language models with reinforcement learning.  
   🔗 [hf.co/docs/trl](http://hf.co/docs/trl)  

3. <a href="https://github.com/openai/baselines">openai/</a><b><a href="https://github.com/openai/baselines">baselines</a></b> ⭐ 16,627    
   OpenAI Baselines: high-quality implementations of reinforcement learning algorithms  

4. <a href="https://github.com/farama-foundation/gymnasium">farama-foundation/</a><b><a href="https://github.com/farama-foundation/gymnasium">Gymnasium</a></b> ⭐ 11,179    
   An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)  
   🔗 [gymnasium.farama.org](https://gymnasium.farama.org)  

5. <a href="https://github.com/google/dopamine">google/</a><b><a href="https://github.com/google/dopamine">dopamine</a></b> ⭐ 10,842    
   Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.   
   🔗 [github.com/google/dopamine](https://github.com/google/dopamine)  

6. <a href="https://github.com/thu-ml/tianshou">thu-ml/</a><b><a href="https://github.com/thu-ml/tianshou">tianshou</a></b> ⭐ 9,822    
   An elegant PyTorch deep reinforcement learning library.  
   🔗 [tianshou.org](https://tianshou.org)  

7. <a href="https://github.com/deepmind/pysc2">deepmind/</a><b><a href="https://github.com/deepmind/pysc2">pysc2</a></b> ⭐ 8,247    
   StarCraft II Learning Environment  

8. <a href="https://github.com/lucidrains/palm-rlhf-pytorch">lucidrains/</a><b><a href="https://github.com/lucidrains/palm-rlhf-pytorch">PaLM-rlhf-pytorch</a></b> ⭐ 7,878    
   Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM  

9. <a href="https://github.com/tensorlayer/tensorlayer">tensorlayer/</a><b><a href="https://github.com/tensorlayer/tensorlayer">TensorLayer</a></b> ⭐ 7,387    
   Deep Learning and Reinforcement Learning Library for Scientists and Engineers   
   🔗 [tensorlayerx.com](http://tensorlayerx.com)  

10. <a href="https://github.com/keras-rl/keras-rl">keras-rl/</a><b><a href="https://github.com/keras-rl/keras-rl">keras-rl</a></b> ⭐ 5,558    
   Deep Reinforcement Learning for Keras.  
   🔗 [keras-rl.readthedocs.io](http://keras-rl.readthedocs.io/)  

11. <a href="https://github.com/deepmind/dm_control">deepmind/</a><b><a href="https://github.com/deepmind/dm_control">dm_control</a></b> ⭐ 4,424    
   Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.  

12. <a href="https://github.com/ai4finance-foundation/elegantrl">ai4finance-foundation/</a><b><a href="https://github.com/ai4finance-foundation/elegantrl">ElegantRL</a></b> ⭐ 4,279    
   Massively Parallel Deep Reinforcement Learning. 🔥  
   🔗 [ai4finance.org](https://ai4finance.org)  

13. <a href="https://github.com/deepmind/acme">deepmind/</a><b><a href="https://github.com/deepmind/acme">acme</a></b> ⭐ 3,904    
   A library of reinforcement learning components and agents  

14. <a href="https://github.com/facebookresearch/reagent">facebookresearch/</a><b><a href="https://github.com/facebookresearch/reagent">ReAgent</a></b> ⭐ 3,684    
   A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)  
   🔗 [reagent.ai](https://reagent.ai)  

15. <a href="https://github.com/opendilab/di-engine">opendilab/</a><b><a href="https://github.com/opendilab/di-engine">DI-engine</a></b> ⭐ 3,582    
   DI-engine is a generalized decision intelligence engine for PyTorch and JAX. It provides python-first and asynchronous-native task and middleware abstractions  
   🔗 [di-engine-docs.readthedocs.io](https://di-engine-docs.readthedocs.io)  

16. <a href="https://github.com/pettingzoo-team/pettingzoo">pettingzoo-team/</a><b><a href="https://github.com/pettingzoo-team/pettingzoo">PettingZoo</a></b> ⭐ 3,286    
   An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities  
   🔗 [pettingzoo.farama.org](https://pettingzoo.farama.org)  

17. <a href="https://github.com/pytorch/rl">pytorch/</a><b><a href="https://github.com/pytorch/rl">rl</a></b> ⭐ 3,263    
   A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.  
   🔗 [pytorch.org/rl](https://pytorch.org/rl)  

18. <a href="https://github.com/eureka-research/eureka">eureka-research/</a><b><a href="https://github.com/eureka-research/eureka">Eureka</a></b> ⭐ 3,107    
   Official Repository for "Eureka: Human-Level Reward Design via Coding Large Language Models" (ICLR 2024)  
   🔗 [eureka-research.github.io](https://eureka-research.github.io/)  

19. <a href="https://github.com/kzl/decision-transformer">kzl/</a><b><a href="https://github.com/kzl/decision-transformer">decision-transformer</a></b> ⭐ 2,755    
   Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.  

20. <a href="https://github.com/anthropics/hh-rlhf">anthropics/</a><b><a href="https://github.com/anthropics/hh-rlhf">hh-rlhf</a></b> ⭐ 1,808    
   Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"  
   🔗 [arxiv.org/abs/2204.05862](https://arxiv.org/abs/2204.05862)  

21. <a href="https://github.com/google-deepmind/meltingpot">google-deepmind/</a><b><a href="https://github.com/google-deepmind/meltingpot">meltingpot</a></b> ⭐ 781    
   A suite of test scenarios for multi-agent reinforcement learning.  

22. <a href="https://github.com/open-tinker/opentinker">open-tinker/</a><b><a href="https://github.com/open-tinker/opentinker">OpenTinker</a></b> ⭐ 598    
   OpenTinker is an RL-as-a-Service infrastructure for foundation models, providing a flexible environment design framework that supports diverse training scenarios over data and interaction modes.  

## Natural Language Processing

Natural language processing libraries and toolkits: text processing, topic modelling, tokenisers, chatbots. Also see the <a href="https://github.com/dylanhogg/awesome-python#llms-and-chatgpt">LLMs and ChatGPT</a> category for crossover.  

1. <a href="https://github.com/huggingface/transformers">huggingface/</a><b><a href="https://github.com/huggingface/transformers">transformers</a></b> ⭐ 155,622    
   🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.   
   🔗 [huggingface.co/transformers](https://huggingface.co/transformers)  

2. <a href="https://github.com/myshell-ai/openvoice">myshell-ai/</a><b><a href="https://github.com/myshell-ai/openvoice">OpenVoice</a></b> ⭐ 35,840    
   Instant voice cloning by MIT and MyShell. Audio foundation model.  
   🔗 [research.myshell.ai/open-voice](https://research.myshell.ai/open-voice)  

3. <a href="https://github.com/explosion/spacy">explosion/</a><b><a href="https://github.com/explosion/spacy">spaCy</a></b> ⭐ 33,097    
   💫 Industrial-strength Natural Language Processing (NLP) in Python  
   🔗 [spacy.io](https://spacy.io)  

4. <a href="https://github.com/pytorch/fairseq">pytorch/</a><b><a href="https://github.com/pytorch/fairseq">fairseq</a></b> ⭐ 32,110    
   Facebook AI Research Sequence-to-Sequence Toolkit written in Python.  

5. <a href="https://github.com/vikparuchuri/marker">vikparuchuri/</a><b><a href="https://github.com/vikparuchuri/marker">marker</a></b> ⭐ 31,151    
   Marker converts PDF, EPUB, and MOBI to markdown. It's 10x faster than nougat, more accurate on most documents, and has low hallucination risk.  
   🔗 [www.datalab.to](https://www.datalab.to)  

6. <a href="https://github.com/microsoft/unilm">microsoft/</a><b><a href="https://github.com/microsoft/unilm">unilm</a></b> ⭐ 21,979    
   Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities  
   🔗 [aka.ms/generalai](https://aka.ms/GeneralAI)  

7. <a href="https://github.com/huggingface/datasets">huggingface/</a><b><a href="https://github.com/huggingface/datasets">datasets</a></b> ⭐ 21,122    
   🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools  
   🔗 [huggingface.co/docs/datasets](https://huggingface.co/docs/datasets)  

8. <a href="https://github.com/m-bain/whisperx">m-bain/</a><b><a href="https://github.com/m-bain/whisperx">whisperX</a></b> ⭐ 19,783    
   WhisperX:  Automatic Speech Recognition with Word-level Timestamps (& Diarization)  

9. <a href="https://github.com/vikparuchuri/surya">vikparuchuri/</a><b><a href="https://github.com/vikparuchuri/surya">surya</a></b> ⭐ 19,159    
   OCR, layout analysis, reading order, table recognition in 90+ languages  
   🔗 [www.datalab.to](https://www.datalab.to)  

10. <a href="https://github.com/ukplab/sentence-transformers">ukplab/</a><b><a href="https://github.com/ukplab/sentence-transformers">sentence-transformers</a></b> ⭐ 18,144    
   State-of-the-Art Text Embeddings  
   🔗 [www.sbert.net](https://www.sbert.net)  

11. <a href="https://github.com/openai/tiktoken">openai/</a><b><a href="https://github.com/openai/tiktoken">tiktoken</a></b> ⭐ 17,074    
   tiktoken is a fast BPE tokeniser for use with OpenAI's models.  

12. <a href="https://github.com/nvidia/nemo">nvidia/</a><b><a href="https://github.com/nvidia/nemo">NeMo</a></b> ⭐ 16,608    
   A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)  
   🔗 [docs.nvidia.com/nemo-framework/user-guide/latest/overview.html](https://docs.nvidia.com/nemo-framework/user-guide/latest/overview.html)  

13. <a href="https://github.com/rare-technologies/gensim">rare-technologies/</a><b><a href="https://github.com/rare-technologies/gensim">gensim</a></b> ⭐ 16,333    
   Topic Modelling for Humans  
   🔗 [radimrehurek.com/gensim](https://radimrehurek.com/gensim)  

14. <a href="https://github.com/gunthercox/chatterbot">gunthercox/</a><b><a href="https://github.com/gunthercox/chatterbot">ChatterBot</a></b> ⭐ 14,478    
   ChatterBot is a machine learning, conversational dialog engine for creating chat bots  
   🔗 [docs.chatterbot.us](http://docs.chatterbot.us/)  

15. <a href="https://github.com/nltk/nltk">nltk/</a><b><a href="https://github.com/nltk/nltk">nltk</a></b> ⭐ 14,468    
   NLTK Source  
   🔗 [www.nltk.org](https://www.nltk.org)  

16. <a href="https://github.com/flairnlp/flair">flairnlp/</a><b><a href="https://github.com/flairnlp/flair">flair</a></b> ⭐ 14,343    
   A very simple framework for state-of-the-art Natural Language Processing (NLP)  
   🔗 [flairnlp.github.io/flair](https://flairnlp.github.io/flair/)  

17. <a href="https://github.com/jina-ai/clip-as-service">jina-ai/</a><b><a href="https://github.com/jina-ai/clip-as-service">clip-as-service</a></b> ⭐ 12,812    
   🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP  
   🔗 [clip-as-service.jina.ai](https://clip-as-service.jina.ai)  

18. <a href="https://github.com/neuml/txtai">neuml/</a><b><a href="https://github.com/neuml/txtai">txtai</a></b> ⭐ 12,049    
   💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows  
   🔗 [neuml.github.io/txtai](https://neuml.github.io/txtai)  

19. <a href="https://github.com/allenai/allennlp">allenai/</a><b><a href="https://github.com/allenai/allennlp">allennlp</a></b> ⭐ 11,888    
   An open-source NLP research library, built on PyTorch.  
   🔗 [www.allennlp.org](http://www.allennlp.org)  

20. <a href="https://github.com/facebookresearch/seamless_communication">facebookresearch/</a><b><a href="https://github.com/facebookresearch/seamless_communication">seamless_communication</a></b> ⭐ 11,738    
   Foundational Models for State-of-the-Art Speech and Text Translation  

21. <a href="https://github.com/google/sentencepiece">google/</a><b><a href="https://github.com/google/sentencepiece">sentencepiece</a></b> ⭐ 11,599    
   Unsupervised text tokenizer for Neural Network-based text generation.  

22. <a href="https://github.com/speechbrain/speechbrain">speechbrain/</a><b><a href="https://github.com/speechbrain/speechbrain">speechbrain</a></b> ⭐ 11,084    
   A PyTorch-based Speech Toolkit  
   🔗 [speechbrain.github.io](http://speechbrain.github.io)  

23. <a href="https://github.com/facebookresearch/parlai">facebookresearch/</a><b><a href="https://github.com/facebookresearch/parlai">ParlAI</a></b> ⭐ 10,628    
   A framework for training and evaluating AI models on a variety of openly available dialogue datasets.  
   🔗 [parl.ai](https://parl.ai)  

24. <a href="https://github.com/doccano/doccano">doccano/</a><b><a href="https://github.com/doccano/doccano">doccano</a></b> ⭐ 10,501    
   Open source annotation tool for machine learning practitioners.  

25. <a href="https://github.com/facebookresearch/nougat">facebookresearch/</a><b><a href="https://github.com/facebookresearch/nougat">nougat</a></b> ⭐ 9,809    
   Implementation of Nougat Neural Optical Understanding for Academic Documents  
   🔗 [facebookresearch.github.io/nougat](https://facebookresearch.github.io/nougat/)  

26. <a href="https://github.com/espnet/espnet">espnet/</a><b><a href="https://github.com/espnet/espnet">espnet</a></b> ⭐ 9,700    
   End-to-End Speech Processing Toolkit  
   🔗 [espnet.github.io/espnet](https://espnet.github.io/espnet/)  

27. <a href="https://github.com/sloria/textblob">sloria/</a><b><a href="https://github.com/sloria/textblob">TextBlob</a></b> ⭐ 9,486    
   Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.  
   🔗 [textblob.readthedocs.io](https://textblob.readthedocs.io/)  

28. <a href="https://github.com/togethercomputer/openchatkit">togethercomputer/</a><b><a href="https://github.com/togethercomputer/openchatkit">OpenChatKit</a></b> ⭐ 9,015    
   OpenChatKit provides a powerful, open-source base to create both specialized and general purpose chatbots  

29. <a href="https://github.com/clips/pattern">clips/</a><b><a href="https://github.com/clips/pattern">pattern</a></b> ⭐ 8,854    
   Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.  
   🔗 [github.com/clips/pattern/wiki](https://github.com/clips/pattern/wiki)  

30. <a href="https://github.com/maartengr/bertopic">maartengr/</a><b><a href="https://github.com/maartengr/bertopic">BERTopic</a></b> ⭐ 7,346    
   Leveraging BERT and c-TF-IDF to create easily interpretable topics.   
   🔗 [maartengr.github.io/bertopic](https://maartengr.github.io/BERTopic/)  

31. <a href="https://github.com/quivrhq/megaparse">quivrhq/</a><b><a href="https://github.com/quivrhq/megaparse">MegaParse</a></b> ⭐ 7,267    
   File Parser optimised for LLM Ingestion with no loss 🧠 Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.   
   🔗 [megaparse.com](https://megaparse.com)  

32. <a href="https://github.com/deeppavlov/deeppavlov">deeppavlov/</a><b><a href="https://github.com/deeppavlov/deeppavlov">DeepPavlov</a></b> ⭐ 6,963    
   An open source library for deep learning end-to-end dialog systems and chatbots.  
   🔗 [deeppavlov.ai](https://deeppavlov.ai)  

33. <a href="https://github.com/facebookresearch/metaseq">facebookresearch/</a><b><a href="https://github.com/facebookresearch/metaseq">metaseq</a></b> ⭐ 6,542    
   A codebase for working with Open Pre-trained Transformers, originally forked from fairseq.  

34. <a href="https://github.com/kingoflolz/mesh-transformer-jax">kingoflolz/</a><b><a href="https://github.com/kingoflolz/mesh-transformer-jax">mesh-transformer-jax</a></b> ⭐ 6,363    
   Model parallel transformers in JAX and Haiku  

35. <a href="https://github.com/aiwaves-cn/agents">aiwaves-cn/</a><b><a href="https://github.com/aiwaves-cn/agents">agents</a></b> ⭐ 5,858    
   An Open-source Framework for Data-centric, Self-evolving Autonomous Language Agents  

36. <a href="https://github.com/layout-parser/layout-parser">layout-parser/</a><b><a href="https://github.com/layout-parser/layout-parser">layout-parser</a></b> ⭐ 5,642    
   A Unified Toolkit for Deep Learning Based Document Image Analysis  
   🔗 [layout-parser.github.io](https://layout-parser.github.io/)  

37. <a href="https://github.com/salesforce/codegen">salesforce/</a><b><a href="https://github.com/salesforce/codegen">CodeGen</a></b> ⭐ 5,172    
   CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.  

38. <a href="https://github.com/minimaxir/textgenrnn">minimaxir/</a><b><a href="https://github.com/minimaxir/textgenrnn">textgenrnn</a></b> ⭐ 4,932    
   Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.  

39. <a href="https://github.com/argilla-io/argilla">argilla-io/</a><b><a href="https://github.com/argilla-io/argilla">argilla</a></b> ⭐ 4,820    
   Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets  
   🔗 [argilla-io.github.io/argilla/latest](https://argilla-io.github.io/argilla/latest/)  

40. <a href="https://github.com/makcedward/nlpaug">makcedward/</a><b><a href="https://github.com/makcedward/nlpaug">nlpaug</a></b> ⭐ 4,641    
   Data augmentation for NLP   
   🔗 [makcedward.github.io](https://makcedward.github.io/)  

41. <a href="https://github.com/promptslab/promptify">promptslab/</a><b><a href="https://github.com/promptslab/promptify">Promptify</a></b> ⭐ 4,536    
   Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research  
   🔗 [discord.gg/m88xfymbk6](https://discord.gg/m88xfYMbK6)  

42. <a href="https://github.com/facebookresearch/drqa">facebookresearch/</a><b><a href="https://github.com/facebookresearch/drqa">DrQA</a></b> ⭐ 4,480    
   Reading Wikipedia to Answer Open-Domain Questions  

43. <a href="https://github.com/thilinarajapakse/simpletransformers">thilinarajapakse/</a><b><a href="https://github.com/thilinarajapakse/simpletransformers">simpletransformers</a></b> ⭐ 4,227    
   Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI  
   🔗 [simpletransformers.ai](https://simpletransformers.ai/)  

44. <a href="https://github.com/maartengr/keybert">maartengr/</a><b><a href="https://github.com/maartengr/keybert">KeyBERT</a></b> ⭐ 4,086    
   A minimal and easy-to-use keyword extraction technique that leverages BERT embeddings to create keywords and keyphrases that are most similar to a document.  
   🔗 [maartengr.github.io/keybert](https://MaartenGr.github.io/KeyBERT/)  

45. <a href="https://github.com/rapidfuzz/rapidfuzz">rapidfuzz/</a><b><a href="https://github.com/rapidfuzz/rapidfuzz">RapidFuzz</a></b> ⭐ 3,717    
   Rapid fuzzy string matching in Python using various string metrics  
   🔗 [rapidfuzz.github.io/rapidfuzz](https://rapidfuzz.github.io/RapidFuzz/)  

46. <a href="https://github.com/chonkie-inc/chonkie">chonkie-inc/</a><b><a href="https://github.com/chonkie-inc/chonkie">chonkie</a></b> ⭐ 3,635    
   🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines  
   🔗 [docs.chonkie.ai](https://docs.chonkie.ai)  

47. <a href="https://github.com/life4/textdistance">life4/</a><b><a href="https://github.com/life4/textdistance">textdistance</a></b> ⭐ 3,512    
   📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.  

48. <a href="https://github.com/bytedance/lightseq">bytedance/</a><b><a href="https://github.com/bytedance/lightseq">lightseq</a></b> ⭐ 3,304    
   LightSeq: A High Performance Library for Sequence Processing and Generation  

49. <a href="https://github.com/neuralmagic/deepsparse">neuralmagic/</a><b><a href="https://github.com/neuralmagic/deepsparse">deepsparse</a></b> ⭐ 3,159    
   Sparsity-aware deep learning inference runtime for CPUs  
   🔗 [neuralmagic.com/deepsparse](https://neuralmagic.com/deepsparse/)  

50. <a href="https://github.com/huawei-noah/pretrained-language-model">huawei-noah/</a><b><a href="https://github.com/huawei-noah/pretrained-language-model">Pretrained-Language-Model</a></b> ⭐ 3,155    
   Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.  

51. <a href="https://github.com/ddangelov/top2vec">ddangelov/</a><b><a href="https://github.com/ddangelov/top2vec">Top2Vec</a></b> ⭐ 3,108    
   Top2Vec learns jointly embedded topic, document and word vectors.  

52. <a href="https://github.com/salesforce/codet5">salesforce/</a><b><a href="https://github.com/salesforce/codet5">CodeT5</a></b> ⭐ 3,096    
   Home of CodeT5: Open Code LLMs for Code Understanding and Generation  
   🔗 [arxiv.org/abs/2305.07922](https://arxiv.org/abs/2305.07922)  

53. <a href="https://github.com/bigscience-workshop/promptsource">bigscience-workshop/</a><b><a href="https://github.com/bigscience-workshop/promptsource">promptsource</a></b> ⭐ 2,994    
   Toolkit for creating, sharing and using natural language prompts.  

54. <a href="https://github.com/jbesomi/texthero">jbesomi/</a><b><a href="https://github.com/jbesomi/texthero">texthero</a></b> ⭐ 2,917    
   Text preprocessing, representation and visualization from zero to hero.  
   🔗 [texthero.org](https://texthero.org)  

55. <a href="https://github.com/huggingface/neuralcoref">huggingface/</a><b><a href="https://github.com/huggingface/neuralcoref">neuralcoref</a></b> ⭐ 2,890    
   ✨Fast Coreference Resolution in spaCy with Neural Networks  
   🔗 [huggingface.co/coref](https://huggingface.co/coref/)  

56. <a href="https://github.com/nvidia/nv-ingest">nvidia/</a><b><a href="https://github.com/nvidia/nv-ingest">nv-ingest</a></b> ⭐ 2,817    
   NVIDIA-Ingest is a scalable, performance-oriented document content and metadata extraction microservice.  
   🔗 [docs.nvidia.com/nemo/retriever/latest/extraction/overview](https://docs.nvidia.com/nemo/retriever/latest/extraction/overview/)  

57. <a href="https://github.com/urchade/gliner">urchade/</a><b><a href="https://github.com/urchade/gliner">GLiNER</a></b> ⭐ 2,726    
   Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024  
   🔗 [urchade.github.io/gliner](https://urchade.github.io/GLiNER)  

58. <a href="https://github.com/huggingface/setfit">huggingface/</a><b><a href="https://github.com/huggingface/setfit">setfit</a></b> ⭐ 2,673    
   SetFit is an efficient and prompt-free framework for few-shot fine-tuning of Sentence Transformers.  
   🔗 [hf.co/docs/setfit](https://hf.co/docs/setfit)  

59. <a href="https://github.com/alibaba/easynlp">alibaba/</a><b><a href="https://github.com/alibaba/easynlp">EasyNLP</a></b> ⭐ 2,182    
   EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit  

60. <a href="https://github.com/thudm/p-tuning-v2">thudm/</a><b><a href="https://github.com/thudm/p-tuning-v2">P-tuning-v2</a></b> ⭐ 2,075    
   An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks  

61. <a href="https://github.com/featureform/embeddinghub">featureform/</a><b><a href="https://github.com/featureform/embeddinghub">featureform</a></b> ⭐ 1,961    
   The Virtual Feature Store. Turn your existing data infrastructure into a feature store.  
   🔗 [www.featureform.com](https://www.featureform.com)  

62. <a href="https://github.com/marella/ctransformers">marella/</a><b><a href="https://github.com/marella/ctransformers">ctransformers</a></b> ⭐ 1,878    
   Python bindings for the Transformer models implemented in C/C++ using GGML library.  

63. <a href="https://github.com/nomic-ai/nomic">nomic-ai/</a><b><a href="https://github.com/nomic-ai/nomic">nomic</a></b> ⭐ 1,859    
   Nomic Developer API SDK  
   🔗 [atlas.nomic.ai](https://atlas.nomic.ai)  

64. <a href="https://github.com/intellabs/fastrag">intellabs/</a><b><a href="https://github.com/intellabs/fastrag">fastRAG</a></b> ⭐ 1,760    
   Efficient Retrieval Augmentation and Generation Framework  

65. <a href="https://github.com/pemistahl/lingua-py">pemistahl/</a><b><a href="https://github.com/pemistahl/lingua-py">lingua-py</a></b> ⭐ 1,625    
   The most accurate natural language detection library for Python, suitable for short text and mixed-language text  

66. <a href="https://github.com/answerdotai/modernbert">answerdotai/</a><b><a href="https://github.com/answerdotai/modernbert">ModernBERT</a></b> ⭐ 1,620    
   Bringing BERT into modernity via both architecture changes and scaling  
   🔗 [arxiv.org/abs/2412.13663](https://arxiv.org/abs/2412.13663)  

67. <a href="https://github.com/xhluca/bm25s">xhluca/</a><b><a href="https://github.com/xhluca/bm25s">bm25s</a></b> ⭐ 1,464    
   Fast lexical search implementing BM25 in Python using Numpy, Numba and Scipy  
   🔗 [bm25s.github.io](https://bm25s.github.io)  

68. <a href="https://github.com/openai/grade-school-math">openai/</a><b><a href="https://github.com/openai/grade-school-math">grade-school-math</a></b> ⭐ 1,384    
   GSM8K, a dataset of 8.5K high quality linguistically diverse grade school math word problems  

69. <a href="https://github.com/jonasgeiping/cramming">jonasgeiping/</a><b><a href="https://github.com/jonasgeiping/cramming">cramming</a></b> ⭐ 1,361    
   Cramming the training of a (BERT-type) language model into limited compute.  

70. <a href="https://github.com/abertsch72/unlimiformer">abertsch72/</a><b><a href="https://github.com/abertsch72/unlimiformer">unlimiformer</a></b> ⭐ 1,066    
   Public repo for the NeurIPS 2023 paper "Unlimiformer: Long-Range Transformers with Unlimited Length Input"  

71. <a href="https://github.com/webis-de/small-text">webis-de/</a><b><a href="https://github.com/webis-de/small-text">small-text</a></b> ⭐ 635    
   Small-Text provides state-of-the-art Active Learning for Text Classification. Several pre-implemented Query Strategies, Initialization Strategies, and Stopping Critera are provided, which can be easily mixed and matched to build active learning experiments or applications.  
   🔗 [small-text.readthedocs.io](https://small-text.readthedocs.io/)  

72. <a href="https://github.com/fastino-ai/gliner2">fastino-ai/</a><b><a href="https://github.com/fastino-ai/gliner2">GLiNER2</a></b> ⭐ 539    
   GLiNER2 unifies Named Entity Recognition, Text Classification, and Structured Data Extraction into a single 205M parameter model. It provides efficient CPU-based inference without requiring complex pipelines or external API dependencies.  

## Packaging

Python packaging, dependency management and bundling.  

1. <a href="https://github.com/astral-sh/uv">astral-sh/</a><b><a href="https://github.com/astral-sh/uv">uv</a></b> ⭐ 77,640    
   An extremely fast Python package installer and resolver, written in Rust. Designed as a drop-in replacement for pip and pip-compile.  
   🔗 [docs.astral.sh/uv](https://docs.astral.sh/uv)  

2. <a href="https://github.com/pyenv/pyenv">pyenv/</a><b><a href="https://github.com/pyenv/pyenv">pyenv</a></b> ⭐ 44,127    
   pyenv lets you easily switch between multiple versions of Python.  

3. <a href="https://github.com/python-poetry/poetry">python-poetry/</a><b><a href="https://github.com/python-poetry/poetry">poetry</a></b> ⭐ 34,157    
   Python packaging and dependency management made easy  
   🔗 [python-poetry.org](https://python-poetry.org)  

4. <a href="https://github.com/pypa/pipenv">pypa/</a><b><a href="https://github.com/pypa/pipenv">pipenv</a></b> ⭐ 25,106    
   A virtualenv management tool that supports a multitude of systems and nicely bridges the gaps between pip, python and virtualenv.  
   🔗 [pipenv.pypa.io](https://pipenv.pypa.io)  

5. <a href="https://github.com/mitsuhiko/rye">mitsuhiko/</a><b><a href="https://github.com/mitsuhiko/rye">rye</a></b> ⭐ 14,304    
   a Hassle-Free Python Experience  
   🔗 [rye.astral.sh](https://rye.astral.sh)  

6. <a href="https://github.com/pyinstaller/pyinstaller">pyinstaller/</a><b><a href="https://github.com/pyinstaller/pyinstaller">pyinstaller</a></b> ⭐ 12,850    
   Freeze (package) Python programs into stand-alone executables  
   🔗 [www.pyinstaller.org](http://www.pyinstaller.org)  

7. <a href="https://github.com/pypa/pipx">pypa/</a><b><a href="https://github.com/pypa/pipx">pipx</a></b> ⭐ 12,457    
   Install and Run Python Applications in Isolated Environments  
   🔗 [pipx.pypa.io](https://pipx.pypa.io)  

8. <a href="https://github.com/conda-forge/miniforge">conda-forge/</a><b><a href="https://github.com/conda-forge/miniforge">miniforge</a></b> ⭐ 9,199    
   A conda-forge distribution.  
   🔗 [conda-forge.org/download](https://conda-forge.org/download)  

9. <a href="https://github.com/pdm-project/pdm">pdm-project/</a><b><a href="https://github.com/pdm-project/pdm">pdm</a></b> ⭐ 8,541    
   A modern Python package and dependency manager supporting the latest PEP standards  
   🔗 [pdm-project.org](https://pdm-project.org)  

10. <a href="https://github.com/jazzband/pip-tools">jazzband/</a><b><a href="https://github.com/jazzband/pip-tools">pip-tools</a></b> ⭐ 7,990    
   A set of tools to keep your pinned Python dependencies fresh (pip-compile + pip-sync)  
   🔗 [pip-tools.rtfd.io](https://pip-tools.rtfd.io)  

11. <a href="https://github.com/mamba-org/mamba">mamba-org/</a><b><a href="https://github.com/mamba-org/mamba">mamba</a></b> ⭐ 7,877    
   The Fast Cross-Platform Package Manager: mamba is a reimplementation of the conda package manager in C++  
   🔗 [mamba.readthedocs.io](https://mamba.readthedocs.io)  

12. <a href="https://github.com/conda/conda">conda/</a><b><a href="https://github.com/conda/conda">conda</a></b> ⭐ 7,283    
   A system-level, binary package and environment manager running on all major operating systems and platforms.  
   🔗 [docs.conda.io/projects/conda](https://docs.conda.io/projects/conda/)  

13. <a href="https://github.com/pypa/hatch">pypa/</a><b><a href="https://github.com/pypa/hatch">hatch</a></b> ⭐ 7,109    
   Modern, extensible Python project management  
   🔗 [hatch.pypa.io/latest](https://hatch.pypa.io/latest/)  

14. <a href="https://github.com/prefix-dev/pixi">prefix-dev/</a><b><a href="https://github.com/prefix-dev/pixi">pixi</a></b> ⭐ 6,197    
   pixi is a cross-platform, multi-language package manager and workflow tool built on the foundation of the conda ecosystem.  
   🔗 [pixi.sh](https://pixi.sh)  

15. <a href="https://github.com/indygreg/pyoxidizer">indygreg/</a><b><a href="https://github.com/indygreg/pyoxidizer">PyOxidizer</a></b> ⭐ 6,060    
   A modern Python application packaging and distribution tool  

16. <a href="https://github.com/pypa/virtualenv">pypa/</a><b><a href="https://github.com/pypa/virtualenv">virtualenv</a></b> ⭐ 5,007    
   A tool to create isolated Python environments. Since Python 3.3, a subset of it has been integrated into the standard lib venv module.  
   🔗 [virtualenv.pypa.io](https://virtualenv.pypa.io)  

17. <a href="https://github.com/spack/spack">spack/</a><b><a href="https://github.com/spack/spack">spack</a></b> ⭐ 4,931    
   A flexible package manager that supports multiple versions, configurations, platforms, and compilers.  
   🔗 [spack.io](https://spack.io)  

18. <a href="https://github.com/pantsbuild/pex">pantsbuild/</a><b><a href="https://github.com/pantsbuild/pex">pex</a></b> ⭐ 4,170    
   A tool for generating .pex (Python EXecutable) files, lock files and venvs.  
   🔗 [docs.pex-tool.org](https://docs.pex-tool.org/)  

19. <a href="https://github.com/pypa/flit">pypa/</a><b><a href="https://github.com/pypa/flit">flit</a></b> ⭐ 2,241    
   Simplified packaging of Python modules  
   🔗 [flit.pypa.io](https://flit.pypa.io/)  

20. <a href="https://github.com/ofek/pyapp">ofek/</a><b><a href="https://github.com/ofek/pyapp">pyapp</a></b> ⭐ 1,913    
   Runtime installer for Python applications  
   🔗 [ofek.dev/pyapp](https://ofek.dev/pyapp/)  

21. <a href="https://github.com/python-poetry/install.python-poetry.org">python-poetry/</a><b><a href="https://github.com/python-poetry/install.python-poetry.org">install.python-poetry.org</a></b> ⭐ 247    
   The official Poetry installation script  
   🔗 [install.python-poetry.org](https://install.python-poetry.org)  

## Pandas

Pandas and dataframe libraries: data analysis, statistical reporting, pandas GUIs, pandas performance optimisations.  

1. <a href="https://github.com/pandas-dev/pandas">pandas-dev/</a><b><a href="https://github.com/pandas-dev/pandas">pandas</a></b> ⭐ 47,680    
   Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more  
   🔗 [pandas.pydata.org](https://pandas.pydata.org)  

2. <a href="https://github.com/pola-rs/polars">pola-rs/</a><b><a href="https://github.com/pola-rs/polars">polars</a></b> ⭐ 37,116    
   Extremely fast Query Engine for DataFrames, written in Rust  
   🔗 [docs.pola.rs](https://docs.pola.rs)  

3. <a href="https://github.com/duckdb/duckdb">duckdb/</a><b><a href="https://github.com/duckdb/duckdb">duckdb</a></b> ⭐ 35,624    
   DuckDB is an analytical in-process SQL database management system  
   🔗 [www.duckdb.org](http://www.duckdb.org)  

4. <a href="https://github.com/gventuri/pandas-ai">gventuri/</a><b><a href="https://github.com/gventuri/pandas-ai">pandas-ai</a></b> ⭐ 23,060    
   Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.  
   🔗 [pandas-ai.com](https://pandas-ai.com)  

5. <a href="https://github.com/kanaries/pygwalker">kanaries/</a><b><a href="https://github.com/kanaries/pygwalker">pygwalker</a></b> ⭐ 15,593    
   PyGWalker: Turn your dataframe into an interactive UI for visual analysis  
   🔗 [kanaries.net/pygwalker](https://kanaries.net/pygwalker)  

6. <a href="https://github.com/ydataai/ydata-profiling">ydataai/</a><b><a href="https://github.com/ydataai/ydata-profiling">ydata-profiling</a></b> ⭐ 13,343    
   1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.   
   🔗 [docs.sdk.ydata.ai](https://docs.sdk.ydata.ai)  

7. <a href="https://github.com/rapidsai/cudf">rapidsai/</a><b><a href="https://github.com/rapidsai/cudf">cudf</a></b> ⭐ 9,468    
   cuDF is a GPU DataFrame library for loading joining, aggregating, filtering, and otherwise manipulating data  
   🔗 [docs.rapids.ai/api/cudf/stable](https://docs.rapids.ai/api/cudf/stable/)  

8. <a href="https://github.com/eventual-inc/daft">eventual-inc/</a><b><a href="https://github.com/eventual-inc/daft">Daft</a></b> ⭐ 5,144    
   High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale  
   🔗 [daft.ai](https://daft.ai)  

9. <a href="https://github.com/deepseek-ai/smallpond">deepseek-ai/</a><b><a href="https://github.com/deepseek-ai/smallpond">smallpond</a></b> ⭐ 4,905    
   A lightweight data processing framework built on DuckDB and 3FS.  

10. <a href="https://github.com/unionai-oss/pandera">unionai-oss/</a><b><a href="https://github.com/unionai-oss/pandera">pandera</a></b> ⭐ 4,180    
   A light-weight, flexible, and expressive statistical data testing library  
   🔗 [www.union.ai/pandera](https://www.union.ai/pandera)  

11. <a href="https://github.com/aws/aws-sdk-pandas">aws/</a><b><a href="https://github.com/aws/aws-sdk-pandas">aws-sdk-pandas</a></b> ⭐ 4,093    
   pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).  
   🔗 [aws-sdk-pandas.readthedocs.io](https://aws-sdk-pandas.readthedocs.io)  

12. <a href="https://github.com/nalepae/pandarallel">nalepae/</a><b><a href="https://github.com/nalepae/pandarallel">pandarallel</a></b> ⭐ 3,806    
   A simple and efficient tool to parallelize Pandas operations on all available CPUs  
   🔗 [nalepae.github.io/pandarallel](https://nalepae.github.io/pandarallel)  

13. <a href="https://github.com/adamerose/pandasgui">adamerose/</a><b><a href="https://github.com/adamerose/pandasgui">PandasGUI</a></b> ⭐ 3,265    
   A GUI for Pandas DataFrames  

14. <a href="https://github.com/delta-io/delta-rs">delta-io/</a><b><a href="https://github.com/delta-io/delta-rs">delta-rs</a></b> ⭐ 3,114    
   A native Rust library for Delta Lake, with bindings into Python  
   🔗 [delta-io.github.io/delta-rs](https://delta-io.github.io/delta-rs/)  

15. <a href="https://github.com/jmcarpenter2/swifter">jmcarpenter2/</a><b><a href="https://github.com/jmcarpenter2/swifter">swifter</a></b> ⭐ 2,641    
   A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner  

16. <a href="https://github.com/fugue-project/fugue">fugue-project/</a><b><a href="https://github.com/fugue-project/fugue">fugue</a></b> ⭐ 2,136    
   A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.  
   🔗 [fugue-tutorials.readthedocs.io](https://fugue-tutorials.readthedocs.io/)  

17. <a href="https://github.com/pyjanitor-devs/pyjanitor">pyjanitor-devs/</a><b><a href="https://github.com/pyjanitor-devs/pyjanitor">pyjanitor</a></b> ⭐ 1,477    
   Clean APIs for data cleaning. Python implementation of R package Janitor  
   🔗 [pyjanitor-devs.github.io/pyjanitor](https://pyjanitor-devs.github.io/pyjanitor)  

18. <a href="https://github.com/renumics/spotlight">renumics/</a><b><a href="https://github.com/renumics/spotlight">spotlight</a></b> ⭐ 1,245    
   Interactively explore unstructured datasets from your dataframe.  
   🔗 [renumics.com](https://renumics.com)  

## Performance

Performance, parallelisation and low level libraries.  

1. <a href="https://github.com/celery/celery">celery/</a><b><a href="https://github.com/celery/celery">celery</a></b> ⭐ 27,904    
   Distributed Task Queue (development branch)  
   🔗 [docs.celeryq.dev](https://docs.celeryq.dev)  

2. <a href="https://github.com/google/flatbuffers">google/</a><b><a href="https://github.com/google/flatbuffers">flatbuffers</a></b> ⭐ 25,451    
   FlatBuffers: Memory Efficient Serialization Library  
   🔗 [flatbuffers.dev](https://flatbuffers.dev/)  

3. <a href="https://github.com/pybind/pybind11">pybind/</a><b><a href="https://github.com/pybind/pybind11">pybind11</a></b> ⭐ 17,658    
   Seamless operability between C++11 and Python  
   🔗 [pybind11.readthedocs.io](https://pybind11.readthedocs.io/)  

4. <a href="https://github.com/exaloop/codon">exaloop/</a><b><a href="https://github.com/exaloop/codon">codon</a></b> ⭐ 16,566    
   A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support  
   🔗 [docs.exaloop.io](https://docs.exaloop.io)  

5. <a href="https://github.com/dask/dask">dask/</a><b><a href="https://github.com/dask/dask">dask</a></b> ⭐ 13,728    
   Parallel computing with task scheduling  
   🔗 [dask.org](https://dask.org)  

6. <a href="https://github.com/numba/numba">numba/</a><b><a href="https://github.com/numba/numba">numba</a></b> ⭐ 10,865    
   NumPy aware dynamic Python compiler using LLVM  
   🔗 [numba.pydata.org](https://numba.pydata.org/)  

7. <a href="https://github.com/modin-project/modin">modin-project/</a><b><a href="https://github.com/modin-project/modin">modin</a></b> ⭐ 10,350    
   Modin: Scale your Pandas workflows by changing a single line of code  
   🔗 [modin.readthedocs.io](http://modin.readthedocs.io)  

8. <a href="https://github.com/vaexio/vaex">vaexio/</a><b><a href="https://github.com/vaexio/vaex">vaex</a></b> ⭐ 8,469    
   Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀  
   🔗 [vaex.io](https://vaex.io)  

9. <a href="https://github.com/nebuly-ai/nebullvm">nebuly-ai/</a><b><a href="https://github.com/nebuly-ai/nebullvm">optimate</a></b> ⭐ 8,353    
   A collection of libraries to optimise AI model performances  
   🔗 [www.nebuly.com](https://www.nebuly.com/)  

10. <a href="https://github.com/python-trio/trio">python-trio/</a><b><a href="https://github.com/python-trio/trio">trio</a></b> ⭐ 7,110    
   Trio – a friendly Python library for async concurrency and I/O  
   🔗 [trio.readthedocs.io](https://trio.readthedocs.io)  

11. <a href="https://github.com/mher/flower">mher/</a><b><a href="https://github.com/mher/flower">flower</a></b> ⭐ 7,096    
   Real-time monitor and web admin for Celery distributed task queue  
   🔗 [flower.readthedocs.io](https://flower.readthedocs.io)  

12. <a href="https://github.com/airtai/faststream">airtai/</a><b><a href="https://github.com/airtai/faststream">faststream</a></b> ⭐ 4,901    
   FastStream is a powerful and easy-to-use asynchronous Python framework for building asynchronous services interacting with event streams such as Apache Kafka, RabbitMQ, NATS and Redis.  
   🔗 [faststream.ag2.ai/latest](http://faststream.ag2.ai/latest/)  

13. <a href="https://github.com/tlkh/asitop">tlkh/</a><b><a href="https://github.com/tlkh/asitop">asitop</a></b> ⭐ 4,419    
   Perf monitoring CLI tool for Apple Silicon  
   🔗 [tlkh.github.io/asitop](https://tlkh.github.io/asitop/)  

14. <a href="https://github.com/facebookincubator/cinder">facebookincubator/</a><b><a href="https://github.com/facebookincubator/cinder">cinder</a></b> ⭐ 3,757    
   This is Meta's fork of the CPython runtime.  The name "cinder" here is historical, see https://github.com/facebookincubator/cinderx for the Python extension / JIT compiler.  

15. <a href="https://github.com/agronholm/anyio">agronholm/</a><b><a href="https://github.com/agronholm/anyio">anyio</a></b> ⭐ 2,367    
   High level asynchronous concurrency and networking framework that works on top of either Trio or asyncio  

16. <a href="https://github.com/tiangolo/asyncer">tiangolo/</a><b><a href="https://github.com/tiangolo/asyncer">asyncer</a></b> ⭐ 2,343    
   Asyncer, async and await, focused on developer experience.  
   🔗 [asyncer.tiangolo.com](https://asyncer.tiangolo.com/)  

17. <a href="https://github.com/intel/intel-extension-for-transformers">intel/</a><b><a href="https://github.com/intel/intel-extension-for-transformers">intel-extension-for-transformers</a></b> ⭐ 2,173    
   ⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms⚡  

18. <a href="https://github.com/intel/intel-extension-for-pytorch">intel/</a><b><a href="https://github.com/intel/intel-extension-for-pytorch">intel-extension-for-pytorch</a></b> ⭐ 2,005    
   A Python package for extending the official PyTorch that can easily obtain performance on Intel platform  

19. <a href="https://github.com/faster-cpython/ideas">faster-cpython/</a><b><a href="https://github.com/faster-cpython/ideas">ideas</a></b> ⭐ 1,727    
   Discussion and work tracker for Faster CPython project.  

## Profiling

Memory and CPU/GPU profiling tools and libraries.  

1. <a href="https://github.com/benfred/py-spy">benfred/</a><b><a href="https://github.com/benfred/py-spy">py-spy</a></b> ⭐ 14,865    
   Sampling profiler for Python programs  

2. <a href="https://github.com/bloomberg/memray">bloomberg/</a><b><a href="https://github.com/bloomberg/memray">memray</a></b> ⭐ 14,792    
   Memray is a memory profiler for Python  
   🔗 [bloomberg.github.io/memray](https://bloomberg.github.io/memray/)  

3. <a href="https://github.com/plasma-umass/scalene">plasma-umass/</a><b><a href="https://github.com/plasma-umass/scalene">scalene</a></b> ⭐ 13,243    
   Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals  

4. <a href="https://github.com/joerick/pyinstrument">joerick/</a><b><a href="https://github.com/joerick/pyinstrument">pyinstrument</a></b> ⭐ 7,596    
   🚴 Call stack profiler for Python. Shows you why your code is slow!  
   🔗 [pyinstrument.readthedocs.io](https://pyinstrument.readthedocs.io/)  

5. <a href="https://github.com/gaogaotiantian/viztracer">gaogaotiantian/</a><b><a href="https://github.com/gaogaotiantian/viztracer">viztracer</a></b> ⭐ 7,523    
   A debugging and profiling tool that can trace and visualize python code execution  
   🔗 [viztracer.readthedocs.io](https://viztracer.readthedocs.io/)  

6. <a href="https://github.com/pythonprofilers/memory_profiler">pythonprofilers/</a><b><a href="https://github.com/pythonprofilers/memory_profiler">memory_profiler</a></b> ⭐ 4,549    
   Monitor Memory usage of Python code  
   🔗 [pypi.python.org/pypi/memory_profiler](http://pypi.python.org/pypi/memory_profiler)  

7. <a href="https://github.com/pyutils/line_profiler">pyutils/</a><b><a href="https://github.com/pyutils/line_profiler">line_profiler</a></b> ⭐ 3,188    
   Line-by-line profiling for Python  

8. <a href="https://github.com/reloadware/reloadium">reloadware/</a><b><a href="https://github.com/reloadware/reloadium">reloadium</a></b> ⭐ 2,996    
   Hot Reloading and Profiling for Python  

## Security

Security related libraries: vulnerability discovery, SQL injection, environment auditing.  

1. <a href="https://github.com/swisskyrepo/payloadsallthethings">swisskyrepo/</a><b><a href="https://github.com/swisskyrepo/payloadsallthethings">PayloadsAllTheThings</a></b> ⭐ 74,615    
   A list of useful payloads and bypass for Web Application Security and Pentest/CTF  
   🔗 [swisskyrepo.github.io/payloadsallthethings](https://swisskyrepo.github.io/PayloadsAllTheThings/)  

2. <a href="https://github.com/sqlmapproject/sqlmap">sqlmapproject/</a><b><a href="https://github.com/sqlmapproject/sqlmap">sqlmap</a></b> ⭐ 36,374    
   Automatic SQL injection and database takeover tool  
   🔗 [sqlmap.org](http://sqlmap.org)  

3. <a href="https://github.com/certbot/certbot">certbot/</a><b><a href="https://github.com/certbot/certbot">certbot</a></b> ⭐ 32,781    
   Certbot is EFF's tool to obtain certs from Let's Encrypt and (optionally) auto-enable HTTPS on your server.  It can also act as a client for any other CA that uses the ACME protocol.  

4. <a href="https://github.com/aquasecurity/trivy">aquasecurity/</a><b><a href="https://github.com/aquasecurity/trivy">trivy</a></b> ⭐ 31,095    
   Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more  
   🔗 [trivy.dev](https://trivy.dev)  

5. <a href="https://github.com/bridgecrewio/checkov">bridgecrewio/</a><b><a href="https://github.com/bridgecrewio/checkov">checkov</a></b> ⭐ 8,423    
   Checkov is a static code analysis tool for infrastructure as code (IaC) and also a software composition analysis (SCA) tool for images and open source packages.  
   🔗 [www.checkov.io](https://www.checkov.io/)  

6. <a href="https://github.com/stamparm/maltrail">stamparm/</a><b><a href="https://github.com/stamparm/maltrail">maltrail</a></b> ⭐ 8,167    
   Malicious traffic detection system  

7. <a href="https://github.com/pycqa/bandit">pycqa/</a><b><a href="https://github.com/pycqa/bandit">bandit</a></b> ⭐ 7,688    
   Bandit is a tool designed to find common security issues in Python code.  
   🔗 [bandit.readthedocs.io](https://bandit.readthedocs.io)  

8. <a href="https://github.com/nccgroup/scoutsuite">nccgroup/</a><b><a href="https://github.com/nccgroup/scoutsuite">ScoutSuite</a></b> ⭐ 7,519    
   Multi-Cloud Security Auditing Tool  

9. <a href="https://github.com/microsoft/presidio">microsoft/</a><b><a href="https://github.com/microsoft/presidio">presidio</a></b> ⭐ 6,716    
   Context aware, pluggable and customizable PII de-identification service for text and images  
   🔗 [microsoft.github.io/presidio](https://microsoft.github.io/presidio)  

10. <a href="https://github.com/rhinosecuritylabs/pacu">rhinosecuritylabs/</a><b><a href="https://github.com/rhinosecuritylabs/pacu">pacu</a></b> ⭐ 5,040    
   The AWS exploitation framework, designed for testing the security of Amazon Web Services environments.  
   🔗 [rhinosecuritylabs.com/aws/pacu-open-source-aws-exploitation-framework](https://rhinosecuritylabs.com/aws/pacu-open-source-aws-exploitation-framework/)  

11. <a href="https://github.com/dashingsoft/pyarmor">dashingsoft/</a><b><a href="https://github.com/dashingsoft/pyarmor">pyarmor</a></b> ⭐ 4,913    
   A tool used to obfuscate python scripts, bind obfuscated scripts to fixed machine or expire obfuscated scripts.  
   🔗 [pyarmor.dashingsoft.com](http://pyarmor.dashingsoft.com)  

12. <a href="https://github.com/fadi002/de4py">fadi002/</a><b><a href="https://github.com/fadi002/de4py">de4py</a></b> ⭐ 950    
   toolkit for python reverse engineering  

## Simulation

Simulation libraries: robotics, economic, agent-based, traffic, physics, astronomy, chemistry, quantum simulation. Also see the <a href="https://github.com/dylanhogg/awesome-python#math-and-science">Maths and Science</a> category for crossover.  

1. <a href="https://github.com/atsushisakai/pythonrobotics">atsushisakai/</a><b><a href="https://github.com/atsushisakai/pythonrobotics">PythonRobotics</a></b> ⭐ 28,351    
   Python sample codes and textbook for robotics algorithms.  
   🔗 [atsushisakai.github.io/pythonrobotics](https://atsushisakai.github.io/PythonRobotics/)  

2. <a href="https://github.com/genesis-embodied-ai/genesis">genesis-embodied-ai/</a><b><a href="https://github.com/genesis-embodied-ai/genesis">Genesis</a></b> ⭐ 28,015    
   Genesis is a physics platform, and generative data engine, designed for general purpose Robotics/Embodied AI/Physical AI applications  
   🔗 [genesis-world.readthedocs.io](https://genesis-world.readthedocs.io)  

3. <a href="https://github.com/bulletphysics/bullet3">bulletphysics/</a><b><a href="https://github.com/bulletphysics/bullet3">bullet3</a></b> ⭐ 14,183    
   Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.  
   🔗 [bulletphysics.org](http://bulletphysics.org)  

4. <a href="https://github.com/isl-org/open3d">isl-org/</a><b><a href="https://github.com/isl-org/open3d">Open3D</a></b> ⭐ 13,256    
   Open3D: A Modern Library for 3D Data Processing  
   🔗 [www.open3d.org](http://www.open3d.org)  

5. <a href="https://github.com/dlr-rm/stable-baselines3">dlr-rm/</a><b><a href="https://github.com/dlr-rm/stable-baselines3">stable-baselines3</a></b> ⭐ 12,596    
   Stable Baselines3 (SB3) is a set of reliable implementations of reinforcement learning algorithms in PyTorch  
   🔗 [stable-baselines3.readthedocs.io](https://stable-baselines3.readthedocs.io)  

6. <a href="https://github.com/nvidia/cosmos">nvidia/</a><b><a href="https://github.com/nvidia/cosmos">Cosmos</a></b> ⭐ 8,085    
   NVIDIA Cosmos is a developer-first world foundation model platform designed to help Physical AI developers build their Physical AI systems better and faster.  
   🔗 [github.com/nvidia-cosmos](https://github.com/nvidia-cosmos)  

7. <a href="https://github.com/qiskit/qiskit">qiskit/</a><b><a href="https://github.com/qiskit/qiskit">qiskit</a></b> ⭐ 6,956    
   Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.  
   🔗 [www.ibm.com/quantum/qiskit](https://www.ibm.com/quantum/qiskit)  

8. <a href="https://github.com/nvidia/warp">nvidia/</a><b><a href="https://github.com/nvidia/warp">warp</a></b> ⭐ 6,138    
   A Python framework for accelerated simulation, data generation and spatial computing.  
   🔗 [nvidia.github.io/warp](https://nvidia.github.io/warp/)  

9. <a href="https://github.com/nvidia-omniverse/orbit">nvidia-omniverse/</a><b><a href="https://github.com/nvidia-omniverse/orbit">IsaacLab</a></b> ⭐ 6,136    
   Unified framework for robot learning built on NVIDIA Isaac Sim  
   🔗 [isaac-sim.github.io/isaaclab](https://isaac-sim.github.io/IsaacLab)  

10. <a href="https://github.com/astropy/astropy">astropy/</a><b><a href="https://github.com/astropy/astropy">astropy</a></b> ⭐ 5,012    
   Astronomy and astrophysics core library  
   🔗 [www.astropy.org](https://www.astropy.org)  

11. <a href="https://github.com/quantumlib/cirq">quantumlib/</a><b><a href="https://github.com/quantumlib/cirq">Cirq</a></b> ⭐ 4,851    
   Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.  
   🔗 [quantumai.google/cirq](https://quantumai.google/cirq)  

12. <a href="https://github.com/chakazul/lenia">chakazul/</a><b><a href="https://github.com/chakazul/lenia">Lenia</a></b> ⭐ 3,728    
   Lenia is a 2D cellular automata with continuous space, time and states. It produces a huge variety of interesting methematical life forms  
   🔗 [chakazul.github.io/lenia/javascript/lenia.html](https://chakazul.github.io/Lenia/JavaScript/Lenia.html)  

13. <a href="https://github.com/openai/mujoco-py">openai/</a><b><a href="https://github.com/openai/mujoco-py">mujoco-py</a></b> ⭐ 3,105    
   MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.  

14. <a href="https://github.com/pennylaneai/pennylane">pennylaneai/</a><b><a href="https://github.com/pennylaneai/pennylane">pennylane</a></b> ⭐ 3,037    
   PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Built by researchers, for research.   
   🔗 [pennylane.ai](https://pennylane.ai)  

15. <a href="https://github.com/google/brax">google/</a><b><a href="https://github.com/google/brax">brax</a></b> ⭐ 3,033    
   Massively parallel rigidbody physics simulation on accelerator hardware.  

16. <a href="https://github.com/nvidia-omniverse/isaacgymenvs">nvidia-omniverse/</a><b><a href="https://github.com/nvidia-omniverse/isaacgymenvs">IsaacGymEnvs</a></b> ⭐ 2,817    
   Example RL environments for the NVIDIA Isaac Gym high performance environments  

17. <a href="https://github.com/facebookresearch/habitat-lab">facebookresearch/</a><b><a href="https://github.com/facebookresearch/habitat-lab">habitat-lab</a></b> ⭐ 2,807    
   A modular high-level library to train embodied AI agents across a variety of tasks and environments.  
   🔗 [aihabitat.org](https://aihabitat.org/)  

18. <a href="https://github.com/tencent-hunyuan/hunyuan3d-2.1">tencent-hunyuan/</a><b><a href="https://github.com/tencent-hunyuan/hunyuan3d-2.1">Hunyuan3D-2.1</a></b> ⭐ 2,788    
   Tencent Hunyuan3D-2.1 is a scalable 3D asset creation system that advances state-of-the-art 3D generation  
   🔗 [3d.hunyuan.tencent.com](https://3d.hunyuan.tencent.com/)  

19. <a href="https://github.com/taichi-dev/difftaichi">taichi-dev/</a><b><a href="https://github.com/taichi-dev/difftaichi">difftaichi</a></b> ⭐ 2,707    
   10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)  

20. <a href="https://github.com/dlr-rm/rl-baselines3-zoo">dlr-rm/</a><b><a href="https://github.com/dlr-rm/rl-baselines3-zoo">rl-baselines3-zoo</a></b> ⭐ 2,691    
   A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.  
   🔗 [rl-baselines3-zoo.readthedocs.io](https://rl-baselines3-zoo.readthedocs.io)  

21. <a href="https://github.com/isaac-sim/isaacsim">isaac-sim/</a><b><a href="https://github.com/isaac-sim/isaacsim">IsaacSim</a></b> ⭐ 2,407    
   NVIDIA Isaac Sim is a simulation platform built on NVIDIA Omniverse, designed to develop, test, train, and deploy AI-powered robots in realistic virtual environments.  
   🔗 [developer.nvidia.com/isaac/sim](https://developer.nvidia.com/isaac/sim)  

22. <a href="https://github.com/microsoft/promptcraft-robotics">microsoft/</a><b><a href="https://github.com/microsoft/promptcraft-robotics">PromptCraft-Robotics</a></b> ⭐ 2,084    
   Community for applying LLMs to robotics and a robot simulator with ChatGPT integration  
   🔗 [aka.ms/chatgpt-robotics](https://aka.ms/ChatGPT-Robotics)  

23. <a href="https://github.com/eloialonso/diamond">eloialonso/</a><b><a href="https://github.com/eloialonso/diamond">diamond</a></b> ⭐ 1,952    
   DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model  
   🔗 [diamond-wm.github.io](https://diamond-wm.github.io)  

24. <a href="https://github.com/polymathicai/the_well">polymathicai/</a><b><a href="https://github.com/polymathicai/the_well">the_well</a></b> ⭐ 1,655    
   15TB of Physics Simulations: collection of machine learning datasets containing numerical simulations of a wide variety of spatiotemporal physical systems.  
   🔗 [polymathic-ai.org/the_well](https://polymathic-ai.org/the_well/)  

25. <a href="https://github.com/bowang-lab/scgpt">bowang-lab/</a><b><a href="https://github.com/bowang-lab/scgpt">scGPT</a></b> ⭐ 1,446    
   scGPT: Towards Building a Foundation Model for Single-Cell Multi-omics Using Generative AI  
   🔗 [scgpt.readthedocs.io/en/latest](https://scgpt.readthedocs.io/en/latest/)  

26. <a href="https://github.com/altera-al/project-sid">altera-al/</a><b><a href="https://github.com/altera-al/project-sid">project-sid</a></b> ⭐ 1,168    
   Project Sid: Many-agent simulations toward AI civilization technical report  

27. <a href="https://github.com/google-deepmind/materials_discovery">google-deepmind/</a><b><a href="https://github.com/google-deepmind/materials_discovery">materials_discovery</a></b> ⭐ 1,114    
   Graph Networks for Materials Science (GNoME) is a project centered around scaling machine learning methods to tackle materials science.  

28. <a href="https://github.com/viblo/pymunk">viblo/</a><b><a href="https://github.com/viblo/pymunk">pymunk</a></b> ⭐ 1,038    
   Pymunk is a easy-to-use pythonic 2d physics library that can be used whenever  you need 2d rigid body physics from Python  
   🔗 [www.pymunk.org](http://www.pymunk.org)  

29. <a href="https://github.com/eureka-research/dreureka">eureka-research/</a><b><a href="https://github.com/eureka-research/dreureka">DrEureka</a></b> ⭐ 915    
   Official Repository for "DrEureka: Language Model Guided Sim-To-Real Transfer" (RSS 2024)  
   🔗 [eureka-research.github.io/dr-eureka](https://eureka-research.github.io/dr-eureka/)  

30. <a href="https://github.com/ur-whitelab/chemcrow-public">ur-whitelab/</a><b><a href="https://github.com/ur-whitelab/chemcrow-public">chemcrow-public</a></b> ⭐ 868    
   Chemcrow  

31. <a href="https://github.com/vandijklab/cell2sentence">vandijklab/</a><b><a href="https://github.com/vandijklab/cell2sentence">cell2sentence</a></b> ⭐ 801    
   Cell2Sentence (C2S-Scale) framework for applying Large Language Models (LLMs) to single-cell transcriptomics.  

32. <a href="https://github.com/sakanaai/shinkaevolve">sakanaai/</a><b><a href="https://github.com/sakanaai/shinkaevolve">ShinkaEvolve</a></b> ⭐ 799    
   A framework that combines LLMs with evolutionary algorithms to drive scientific discovery. Leveraging creative capabilities of LLMs and the optimization power of evolutionary search, enables automated exploration and improvement of scientific code.  

33. <a href="https://github.com/sakanaai/asal">sakanaai/</a><b><a href="https://github.com/sakanaai/asal">asal</a></b> ⭐ 449    
   Automating the Search for Artificial Life with Foundation Models!  
   🔗 [pub.sakana.ai/asal](https://pub.sakana.ai/asal/)  

34. <a href="https://github.com/arshka/physix">arshka/</a><b><a href="https://github.com/arshka/physix">PhysiX</a></b> ⭐ 110    
   A Foundation Model for physics simulations  

35. <a href="https://github.com/ur-whitelab/chemcrow-runs">ur-whitelab/</a><b><a href="https://github.com/ur-whitelab/chemcrow-runs">chemcrow-runs</a></b> ⭐ 94    
   ur-whitelab/chemcrow-runs  

## Study

Miscellaneous study resources: algorithms, general resources, system design, code repos for textbooks, best practices, tutorials.  

1. <a href="https://github.com/thealgorithms/python">thealgorithms/</a><b><a href="https://github.com/thealgorithms/python">Python</a></b> ⭐ 217,119    
   All Algorithms implemented in Python  
   🔗 [thealgorithms.github.io/python](https://thealgorithms.github.io/Python/)  

2. <a href="https://github.com/microsoft/generative-ai-for-beginners">microsoft/</a><b><a href="https://github.com/microsoft/generative-ai-for-beginners">generative-ai-for-beginners</a></b> ⭐ 105,570    
   Learn the fundamentals of building Generative AI applications with our 21-lesson comprehensive course by Microsoft Cloud Advocates.  

3. <a href="https://github.com/rasbt/llms-from-scratch">rasbt/</a><b><a href="https://github.com/rasbt/llms-from-scratch">LLMs-from-scratch</a></b> ⭐ 83,698    
   Implement a ChatGPT-like LLM in PyTorch from scratch, step by step  
   🔗 [amzn.to/4fqvn0d](https://amzn.to/4fqvn0D)  

4. <a href="https://github.com/mlabonne/llm-course">mlabonne/</a><b><a href="https://github.com/mlabonne/llm-course">llm-course</a></b> ⭐ 73,812    
   Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.  
   🔗 [mlabonne.github.io/blog](https://mlabonne.github.io/blog/)  

5. <a href="https://github.com/labmlai/annotated_deep_learning_paper_implementations">labmlai/</a><b><a href="https://github.com/labmlai/annotated_deep_learning_paper_implementations">annotated_deep_learning_paper_implementations</a></b> ⭐ 65,496    
   🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠  
   🔗 [nn.labml.ai](https://nn.labml.ai)  

6. <a href="https://github.com/jakevdp/pythondatasciencehandbook">jakevdp/</a><b><a href="https://github.com/jakevdp/pythondatasciencehandbook">PythonDataScienceHandbook</a></b> ⭐ 46,573    
   Python Data Science Handbook: full text in Jupyter Notebooks  
   🔗 [jakevdp.github.io/pythondatasciencehandbook](http://jakevdp.github.io/PythonDataScienceHandbook)  

7. <a href="https://github.com/realpython/python-guide">realpython/</a><b><a href="https://github.com/realpython/python-guide">python-guide</a></b> ⭐ 29,471    
   Python best practices guidebook, written for humans.   
   🔗 [docs.python-guide.org](https://docs.python-guide.org)  

8. <a href="https://github.com/d2l-ai/d2l-en">d2l-ai/</a><b><a href="https://github.com/d2l-ai/d2l-en">d2l-en</a></b> ⭐ 28,013    
   Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.  
   🔗 [d2l.ai](https://D2L.ai)  

9. <a href="https://github.com/christoschristofidis/awesome-deep-learning">christoschristofidis/</a><b><a href="https://github.com/christoschristofidis/awesome-deep-learning">awesome-deep-learning</a></b> ⭐ 27,358    
   A curated list of awesome Deep Learning tutorials, projects and communities.  

10. <a href="https://github.com/hannibal046/awesome-llm">hannibal046/</a><b><a href="https://github.com/hannibal046/awesome-llm">Awesome-LLM</a></b> ⭐ 26,079    
   Awesome-LLM: a curated list of Large Language Model  

11. <a href="https://github.com/huggingface/agents-course">huggingface/</a><b><a href="https://github.com/huggingface/agents-course">agents-course</a></b> ⭐ 24,945    
   This repository contains the Hugging Face Agents Course.   

12. <a href="https://github.com/wesm/pydata-book">wesm/</a><b><a href="https://github.com/wesm/pydata-book">pydata-book</a></b> ⭐ 24,209    
   Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media  

13. <a href="https://github.com/affaan-m/everything-claude-code">affaan-m/</a><b><a href="https://github.com/affaan-m/everything-claude-code">everything-claude-code</a></b> ⭐ 23,150    
   Complete Claude Code configuration collection - agents, skills, hooks, commands, rules, MCPs. Battle-tested configs from an Anthropic hackathon winner.  

14. <a href="https://github.com/microsoft/recommenders">microsoft/</a><b><a href="https://github.com/microsoft/recommenders">recommenders</a></b> ⭐ 21,384    
   Best Practices on Recommendation Systems  
   🔗 [recommenders-team.github.io/recommenders/intro.html](https://recommenders-team.github.io/recommenders/intro.html)  

15. <a href="https://github.com/karpathy/nn-zero-to-hero">karpathy/</a><b><a href="https://github.com/karpathy/nn-zero-to-hero">nn-zero-to-hero</a></b> ⭐ 20,041    
   Neural Networks: Zero to Hero  

16. <a href="https://github.com/handsonllm/hands-on-large-language-models">handsonllm/</a><b><a href="https://github.com/handsonllm/hands-on-large-language-models">Hands-On-Large-Language-Models</a></b> ⭐ 19,993    
   Official code repo for the O'Reilly Book - "Hands-On Large Language Models"  
   🔗 [www.llm-book.com](https://www.llm-book.com/)  

17. <a href="https://github.com/fchollet/deep-learning-with-python-notebooks">fchollet/</a><b><a href="https://github.com/fchollet/deep-learning-with-python-notebooks">deep-learning-with-python-notebooks</a></b> ⭐ 19,876    
   Jupyter notebooks for the code samples of the book "Deep Learning with Python"  

18. <a href="https://github.com/nirdiamant/agents-towards-production">nirdiamant/</a><b><a href="https://github.com/nirdiamant/agents-towards-production">agents-towards-production</a></b> ⭐ 16,944    
   The open-source playbook for turning AI agents into real-world products.  

19. <a href="https://github.com/mrdbourke/pytorch-deep-learning">mrdbourke/</a><b><a href="https://github.com/mrdbourke/pytorch-deep-learning">pytorch-deep-learning</a></b> ⭐ 16,921    
   Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.  
   🔗 [learnpytorch.io](https://learnpytorch.io)  

20. <a href="https://github.com/zhanymkanov/fastapi-best-practices">zhanymkanov/</a><b><a href="https://github.com/zhanymkanov/fastapi-best-practices">fastapi-best-practices</a></b> ⭐ 16,156    
   FastAPI Best Practices and Conventions we used at our startup  

21. <a href="https://github.com/naklecha/llama3-from-scratch">naklecha/</a><b><a href="https://github.com/naklecha/llama3-from-scratch">llama3-from-scratch</a></b> ⭐ 15,243    
   llama3 implementation one matrix multiplication at a time  

22. <a href="https://github.com/graykode/nlp-tutorial">graykode/</a><b><a href="https://github.com/graykode/nlp-tutorial">nlp-tutorial</a></b> ⭐ 14,840    
   Natural Language Processing Tutorial for Deep Learning Researchers  
   🔗 [www.reddit.com/r/machinelearning/comments/amfinl/project_nlptutoral_repository_who_is_studying](https://www.reddit.com/r/MachineLearning/comments/amfinl/project_nlptutoral_repository_who_is_studying/)  

23. <a href="https://github.com/shangtongzhang/reinforcement-learning-an-introduction">shangtongzhang/</a><b><a href="https://github.com/shangtongzhang/reinforcement-learning-an-introduction">reinforcement-learning-an-introduction</a></b> ⭐ 14,515    
   Python Implementation of Reinforcement Learning: An Introduction  

24. <a href="https://github.com/karpathy/micrograd">karpathy/</a><b><a href="https://github.com/karpathy/micrograd">micrograd</a></b> ⭐ 14,428    
   A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API  

25. <a href="https://github.com/chiphuyen/aie-book">chiphuyen/</a><b><a href="https://github.com/chiphuyen/aie-book">aie-book</a></b> ⭐ 13,206    
   Code for AI Engineering: Building Applications with Foundation Models (Chip Huyen 2025)  

26. <a href="https://github.com/eugeneyan/open-llms">eugeneyan/</a><b><a href="https://github.com/eugeneyan/open-llms">open-llms</a></b> ⭐ 12,602    
   📋 A list of open LLMs available for commercial use.  

27. <a href="https://github.com/rucaibox/llmsurvey">rucaibox/</a><b><a href="https://github.com/rucaibox/llmsurvey">LLMSurvey</a></b> ⭐ 12,070    
   The official GitHub page for the survey paper "A Survey of Large Language Models".  
   🔗 [arxiv.org/abs/2303.18223](https://arxiv.org/abs/2303.18223)  

28. <a href="https://github.com/srush/gpu-puzzles">srush/</a><b><a href="https://github.com/srush/gpu-puzzles">GPU-Puzzles</a></b> ⭐ 11,902    
   Teaching beginner GPU programming in a completely interactive fashion  

29. <a href="https://github.com/openai/spinningup">openai/</a><b><a href="https://github.com/openai/spinningup">spinningup</a></b> ⭐ 11,548    
   An educational resource to help anyone learn deep reinforcement learning.  
   🔗 [spinningup.openai.com](https://spinningup.openai.com/)  

30. <a href="https://github.com/nielsrogge/transformers-tutorials">nielsrogge/</a><b><a href="https://github.com/nielsrogge/transformers-tutorials">Transformers-Tutorials</a></b> ⭐ 11,479    
   This repository contains demos I made with the Transformers library by HuggingFace.  

31. <a href="https://github.com/mooler0410/llmspracticalguide">mooler0410/</a><b><a href="https://github.com/mooler0410/llmspracticalguide">LLMsPracticalGuide</a></b> ⭐ 10,142    
   A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)  
   🔗 [arxiv.org/abs/2304.13712v2](https://arxiv.org/abs/2304.13712v2)  

32. <a href="https://github.com/kalyanks-nlp/llm-engineer-toolkit">kalyanks-nlp/</a><b><a href="https://github.com/kalyanks-nlp/llm-engineer-toolkit">llm-engineer-toolkit</a></b> ⭐ 9,688    
   A curated list of  120+ LLM libraries category wise.   
   🔗 [www.linkedin.com/in/kalyanksnlp](https://www.linkedin.com/in/kalyanksnlp/)  

33. <a href="https://github.com/roboflow/notebooks">roboflow/</a><b><a href="https://github.com/roboflow/notebooks">notebooks</a></b> ⭐ 9,117    
   A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.  
   🔗 [roboflow.com/models](https://roboflow.com/models)  

34. <a href="https://github.com/udlbook/udlbook">udlbook/</a><b><a href="https://github.com/udlbook/udlbook">udlbook</a></b> ⭐ 8,940    
   Understanding Deep Learning - Simon J.D. Prince  

35. <a href="https://github.com/engineer1999/a-curated-list-of-ml-system-design-case-studies">engineer1999/</a><b><a href="https://github.com/engineer1999/a-curated-list-of-ml-system-design-case-studies">A-Curated-List-of-ML-System-Design-Case-Studies</a></b> ⭐ 8,205    
   Curated collection of 300+ case studies from over 80 companies, detailing practical applications and insights into machine learning (ML) system design  

36. <a href="https://github.com/alirezadir/machine-learning-interview-enlightener">alirezadir/</a><b><a href="https://github.com/alirezadir/machine-learning-interview-enlightener">Machine-Learning-Interviews</a></b> ⭐ 7,644    
   This repo is meant to serve as a guide for Machine Learning/AI technical interviews.   

37. <a href="https://github.com/firmai/industry-machine-learning">firmai/</a><b><a href="https://github.com/firmai/industry-machine-learning">industry-machine-learning</a></b> ⭐ 7,442    
   A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)  
   🔗 [www.sov.ai](https://www.sov.ai/)  

38. <a href="https://github.com/gkamradt/langchain-tutorials">gkamradt/</a><b><a href="https://github.com/gkamradt/langchain-tutorials">langchain-tutorials</a></b> ⭐ 7,366    
   Overview and tutorial of the LangChain Library  

39. <a href="https://github.com/huggingface/smol-course">huggingface/</a><b><a href="https://github.com/huggingface/smol-course">smol-course</a></b> ⭐ 6,578    
   a practical course on aligning language models for your specific use case. It's a handy way to get started with aligning language models, because everything runs on most local machines.  

40. <a href="https://github.com/neetcode-gh/leetcode">neetcode-gh/</a><b><a href="https://github.com/neetcode-gh/leetcode">leetcode</a></b> ⭐ 6,258    
   Leetcode solutions for NeetCode.io  

41. <a href="https://github.com/mrdbourke/tensorflow-deep-learning">mrdbourke/</a><b><a href="https://github.com/mrdbourke/tensorflow-deep-learning">tensorflow-deep-learning</a></b> ⭐ 5,831    
   All course materials for the Zero to Mastery Deep Learning with TensorFlow course.  
   🔗 [dbourke.link/ztmtfcourse](https://dbourke.link/ZTMTFcourse)  

42. <a href="https://github.com/udacity/deep-learning-v2-pytorch">udacity/</a><b><a href="https://github.com/udacity/deep-learning-v2-pytorch">deep-learning-v2-pytorch</a></b> ⭐ 5,469    
   Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101  

43. <a href="https://github.com/promptslab/awesome-prompt-engineering">promptslab/</a><b><a href="https://github.com/promptslab/awesome-prompt-engineering">Awesome-Prompt-Engineering</a></b> ⭐ 5,296    
   This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc   
   🔗 [discord.gg/m88xfymbk6](https://discord.gg/m88xfYMbK6)  

44. <a href="https://github.com/timofurrer/awesome-asyncio">timofurrer/</a><b><a href="https://github.com/timofurrer/awesome-asyncio">awesome-asyncio</a></b> ⭐ 4,987    
   A curated list of awesome Python asyncio frameworks, libraries, software and resources  

45. <a href="https://github.com/rasbt/machine-learning-book">rasbt/</a><b><a href="https://github.com/rasbt/machine-learning-book">machine-learning-book</a></b> ⭐ 4,943    
   Code Repository for Machine Learning with PyTorch and Scikit-Learn  
   🔗 [sebastianraschka.com/books/#machine-learning-with-pytorch-and-scikit-learn](https://sebastianraschka.com/books/#machine-learning-with-pytorch-and-scikit-learn)  

46. <a href="https://github.com/huggingface/deep-rl-class">huggingface/</a><b><a href="https://github.com/huggingface/deep-rl-class">deep-rl-class</a></b> ⭐ 4,719    
   This repo contains the Hugging Face Deep Reinforcement Learning Course.  

47. <a href="https://github.com/zotroneneis/machine_learning_basics">zotroneneis/</a><b><a href="https://github.com/zotroneneis/machine_learning_basics">machine_learning_basics</a></b> ⭐ 4,402    
   Plain python implementations of basic machine learning algorithms  

48. <a href="https://github.com/huggingface/diffusion-models-class">huggingface/</a><b><a href="https://github.com/huggingface/diffusion-models-class">diffusion-models-class</a></b> ⭐ 4,263    
   Materials for the Hugging Face Diffusion Models Course  

49. <a href="https://github.com/amanchadha/coursera-deep-learning-specialization">amanchadha/</a><b><a href="https://github.com/amanchadha/coursera-deep-learning-specialization">coursera-deep-learning-specialization</a></b> ⭐ 4,149    
   Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv...  

50. <a href="https://github.com/fluentpython/example-code-2e">fluentpython/</a><b><a href="https://github.com/fluentpython/example-code-2e">example-code-2e</a></b> ⭐ 3,928    
   Example code for Fluent Python, 2nd edition (O'Reilly 2022)   
   🔗 [amzn.to/3j48u2j](https://amzn.to/3J48u2J)  

51. <a href="https://github.com/cosmicpython/book">cosmicpython/</a><b><a href="https://github.com/cosmicpython/book">book</a></b> ⭐ 3,708    
   A Book about Pythonic Application Architecture Patterns for Managing Complexity.  Cosmos is the Opposite of Chaos you see. O'R. wouldn't actually let us call it "Cosmic Python" tho.  
   🔗 [www.cosmicpython.com](https://www.cosmicpython.com)  

52. <a href="https://github.com/mrdbourke/zero-to-mastery-ml">mrdbourke/</a><b><a href="https://github.com/mrdbourke/zero-to-mastery-ml">zero-to-mastery-ml</a></b> ⭐ 3,583    
   All course materials for the Zero to Mastery Machine Learning and Data Science course.  
   🔗 [dbourke.link/ztmmlcourse](https://dbourke.link/ZTMmlcourse)  

53. <a href="https://github.com/krzjoa/awesome-python-data-science">krzjoa/</a><b><a href="https://github.com/krzjoa/awesome-python-data-science">awesome-python-data-science</a></b> ⭐ 3,318    
   Probably the best curated list of data science software in Python.  
   🔗 [krzjoa.github.io/awesome-python-data-science](https://krzjoa.github.io/awesome-python-data-science)  

54. <a href="https://github.com/huggingface/cookbook">huggingface/</a><b><a href="https://github.com/huggingface/cookbook">cookbook</a></b> ⭐ 2,580    
   Community-driven practical examples of building AI applications and solving various tasks with AI using open-source tools and models.  
   🔗 [huggingface.co/learn/cookbook](https://huggingface.co/learn/cookbook)  

55. <a href="https://github.com/gerdm/prml">gerdm/</a><b><a href="https://github.com/gerdm/prml">prml</a></b> ⭐ 2,532    
   Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop  

56. <a href="https://github.com/cerlymarco/medium_notebook">cerlymarco/</a><b><a href="https://github.com/cerlymarco/medium_notebook">MEDIUM_NoteBook</a></b> ⭐ 2,141    
   Repository containing notebooks of my posts on Medium  

57. <a href="https://github.com/aburkov/thelmbook">aburkov/</a><b><a href="https://github.com/aburkov/thelmbook">theLMbook</a></b> ⭐ 2,080    
   Code for Hundred-Page Language Models Book by Andriy Burkov  
   🔗 [www.thelmbook.com](https://www.thelmbook.com)  

58. <a href="https://github.com/huggingface/evaluation-guidebook">huggingface/</a><b><a href="https://github.com/huggingface/evaluation-guidebook">evaluation-guidebook</a></b> ⭐ 2,040    
   Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!  

59. <a href="https://github.com/atcold/nyu-dlsp21">atcold/</a><b><a href="https://github.com/atcold/nyu-dlsp21">NYU-DLSP21</a></b> ⭐ 1,651    
   NYU Deep Learning Spring 2021  
   🔗 [atcold.github.io/nyu-dlsp21](https://atcold.github.io/NYU-DLSP21/)  

60. <a href="https://github.com/davidadsp/generative_deep_learning_2nd_edition">davidadsp/</a><b><a href="https://github.com/davidadsp/generative_deep_learning_2nd_edition">Generative_Deep_Learning_2nd_Edition</a></b> ⭐ 1,443    
   The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.  
   🔗 [www.oreilly.com/library/view/generative-deep-learning/9781098134174](https://www.oreilly.com/library/view/generative-deep-learning/9781098134174/)  

61. <a href="https://github.com/rasbt/llm-workshop-2024">rasbt/</a><b><a href="https://github.com/rasbt/llm-workshop-2024">LLM-workshop-2024</a></b> ⭐ 1,061    
   A 4-hour coding workshop to understand how LLMs are implemented and used  

62. <a href="https://github.com/cfregly/ai-performance-engineering">cfregly/</a><b><a href="https://github.com/cfregly/ai-performance-engineering">ai-performance-engineering</a></b> ⭐ 973    
   AI Systems Performance Engineering code and resources for the O'Reilly book covering GPU optimization, distributed training, inference scaling  

63. <a href="https://github.com/dylanhogg/awesome-python">dylanhogg/</a><b><a href="https://github.com/dylanhogg/awesome-python">awesome-python</a></b> ⭐ 439    
   🐍 Hand-picked awesome Python libraries and frameworks, organised by category  
   🔗 [www.awesomepython.org](https://www.awesomepython.org)  

## Template

Template tools and libraries: cookiecutter repos, generators, quick-starts.  

1. <a href="https://github.com/tiangolo/full-stack-fastapi-template">tiangolo/</a><b><a href="https://github.com/tiangolo/full-stack-fastapi-template">full-stack-fastapi-template</a></b> ⭐ 41,003    
   Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.  

2. <a href="https://github.com/cookiecutter/cookiecutter">cookiecutter/</a><b><a href="https://github.com/cookiecutter/cookiecutter">cookiecutter</a></b> ⭐ 24,573    
   A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.  
   🔗 [pypi.org/project/cookiecutter](https://pypi.org/project/cookiecutter/)  

3. <a href="https://github.com/drivendata/cookiecutter-data-science">drivendata/</a><b><a href="https://github.com/drivendata/cookiecutter-data-science">cookiecutter-data-science</a></b> ⭐ 9,620    
   A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.  
   🔗 [cookiecutter-data-science.drivendata.org](https://cookiecutter-data-science.drivendata.org/)  

4. <a href="https://github.com/buuntu/fastapi-react">buuntu/</a><b><a href="https://github.com/buuntu/fastapi-react">fastapi-react</a></b> ⭐ 2,570    
   🚀   Cookiecutter Template for FastAPI + React Projects.  Using PostgreSQL, SQLAlchemy, and Docker  

5. <a href="https://github.com/cjolowicz/cookiecutter-hypermodern-python">cjolowicz/</a><b><a href="https://github.com/cjolowicz/cookiecutter-hypermodern-python">cookiecutter-hypermodern-python</a></b> ⭐ 1,902    
   Cookiecutter template for a Python package based on the Hypermodern Python article series.  
   🔗 [cookiecutter-hypermodern-python.readthedocs.io](http://cookiecutter-hypermodern-python.readthedocs.io/)  

6. <a href="https://github.com/fmind/mlops-python-package">fmind/</a><b><a href="https://github.com/fmind/mlops-python-package">mlops-python-package</a></b> ⭐ 1,385    
   Best practices designed to support your MLOPs initiatives. You can use this package as part of your MLOps toolkit or platform e.g. Model Registry, Experiment Tracking, Realtime Inference  
   🔗 [fmind.github.io/mlops-python-package](https://fmind.github.io/mlops-python-package/)  

7. <a href="https://github.com/fpgmaas/cookiecutter-uv">fpgmaas/</a><b><a href="https://github.com/fpgmaas/cookiecutter-uv">cookiecutter-uv</a></b> ⭐ 1,223    
   A modern cookiecutter template for Python projects that use uv for dependency management   
   🔗 [fpgmaas.github.io/cookiecutter-uv](https://fpgmaas.github.io/cookiecutter-uv)  

8. <a href="https://github.com/tezromach/python-package-template">tezromach/</a><b><a href="https://github.com/tezromach/python-package-template">python-package-template</a></b> ⭐ 1,096    
   🚀 Your next Python package needs a bleeding-edge project structure.  

9. <a href="https://github.com/callmesora/llmops-python-package">callmesora/</a><b><a href="https://github.com/callmesora/llmops-python-package">llmops-python-package</a></b> ⭐ 887    
   Best practices designed to support your LLMOps initiatives. You can use this package as part of your LLMOps toolkit or platform e.g. Model Registry, Experiment Tracking, Realtime Inference  

## Terminal

Terminal and console tools and libraries: CLI tools, terminal based formatters, progress bars.  

1. <a href="https://github.com/anthropics/claude-code">anthropics/</a><b><a href="https://github.com/anthropics/claude-code">claude-code</a></b> ⭐ 60,052    
   Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows  
   🔗 [code.claude.com/docs/en/overview](https://code.claude.com/docs/en/overview)  

2. <a href="https://github.com/willmcgugan/rich">willmcgugan/</a><b><a href="https://github.com/willmcgugan/rich">rich</a></b> ⭐ 55,226    
   Rich is a Python library for rich text and beautiful formatting in the terminal.  
   🔗 [rich.readthedocs.io/en/latest](https://rich.readthedocs.io/en/latest/)  

3. <a href="https://github.com/aider-ai/aider">aider-ai/</a><b><a href="https://github.com/aider-ai/aider">aider</a></b> ⭐ 40,036    
   Aider lets you pair program with LLMs, to edit code in your local git repository  
   🔗 [aider.chat](https://aider.chat/)  

4. <a href="https://github.com/willmcgugan/textual">willmcgugan/</a><b><a href="https://github.com/willmcgugan/textual">textual</a></b> ⭐ 33,821    
   The lean application framework for Python.  Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.  
   🔗 [textual.textualize.io](https://textual.textualize.io/)  

5. <a href="https://github.com/tqdm/tqdm">tqdm/</a><b><a href="https://github.com/tqdm/tqdm">tqdm</a></b> ⭐ 30,889    
   :zap: A Fast, Extensible Progress Bar for Python and CLI  
   🔗 [tqdm.github.io](https://tqdm.github.io)  

6. <a href="https://github.com/google/python-fire">google/</a><b><a href="https://github.com/google/python-fire">python-fire</a></b> ⭐ 28,072    
   Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.  

7. <a href="https://github.com/tiangolo/typer">tiangolo/</a><b><a href="https://github.com/tiangolo/typer">typer</a></b> ⭐ 18,686    
   Typer, build great CLIs. Easy to code. Based on Python type hints.  
   🔗 [typer.tiangolo.com](https://typer.tiangolo.com/)  

8. <a href="https://github.com/pallets/click">pallets/</a><b><a href="https://github.com/pallets/click">click</a></b> ⭐ 17,141    
   Python composable command line interface toolkit  
   🔗 [click.palletsprojects.com](https://click.palletsprojects.com)  

9. <a href="https://github.com/simonw/llm">simonw/</a><b><a href="https://github.com/simonw/llm">llm</a></b> ⭐ 10,950    
   A CLI utility and Python library for interacting with Large Language Models, both via remote APIs and models that can be installed and run on your own machine.  
   🔗 [llm.datasette.io](https://llm.datasette.io)  

10. <a href="https://github.com/prompt-toolkit/python-prompt-toolkit">prompt-toolkit/</a><b><a href="https://github.com/prompt-toolkit/python-prompt-toolkit">python-prompt-toolkit</a></b> ⭐ 10,225    
   Library for building powerful interactive command line applications in Python  
   🔗 [python-prompt-toolkit.readthedocs.io](https://python-prompt-toolkit.readthedocs.io/)  

11. <a href="https://github.com/saulpw/visidata">saulpw/</a><b><a href="https://github.com/saulpw/visidata">visidata</a></b> ⭐ 8,755    
   A terminal spreadsheet multitool for discovering and arranging data  
   🔗 [visidata.org](http://visidata.org)  

12. <a href="https://github.com/xxh/xxh">xxh/</a><b><a href="https://github.com/xxh/xxh">xxh</a></b> ⭐ 5,886    
   🚀 Bring your favorite shell wherever you go through the ssh. Xonsh shell, fish, zsh, osquery and so on.  

13. <a href="https://github.com/tconbeer/harlequin">tconbeer/</a><b><a href="https://github.com/tconbeer/harlequin">harlequin</a></b> ⭐ 5,646    
   The SQL IDE for Your Terminal.  
   🔗 [harlequin.sh](https://harlequin.sh)  

14. <a href="https://github.com/manrajgrover/halo">manrajgrover/</a><b><a href="https://github.com/manrajgrover/halo">halo</a></b> ⭐ 3,086    
   💫 Beautiful spinners for terminal, IPython and Jupyter  

15. <a href="https://github.com/textualize/trogon">textualize/</a><b><a href="https://github.com/textualize/trogon">trogon</a></b> ⭐ 2,791    
   Easily turn your Click CLI into a powerful terminal application  

16. <a href="https://github.com/darrenburns/elia">darrenburns/</a><b><a href="https://github.com/darrenburns/elia">elia</a></b> ⭐ 2,416    
   A snappy, keyboard-centric terminal user interface for interacting with large language models. Chat with ChatGPT, Claude, Llama 3, Phi 3, Mistral, Gemma and more.  

17. <a href="https://github.com/shobrook/wut">shobrook/</a><b><a href="https://github.com/shobrook/wut">wut</a></b> ⭐ 1,406    
   Just type wut and an LLM will help you understand whatever's in your terminal. You'll be surprised how useful this can be.  

18. <a href="https://github.com/1j01/textual-paint">1j01/</a><b><a href="https://github.com/1j01/textual-paint">textual-paint</a></b> ⭐ 1,083    
   :art: MS Paint in your terminal.  
   🔗 [pypi.org/project/textual-paint](https://pypi.org/project/textual-paint/)  

## Testing

Testing libraries: unit testing, load testing, acceptance testing, code coverage, browser automation, plugins.  

1. <a href="https://github.com/mitmproxy/mitmproxy">mitmproxy/</a><b><a href="https://github.com/mitmproxy/mitmproxy">mitmproxy</a></b> ⭐ 42,031    
   An interactive TLS-capable intercepting HTTP proxy for penetration testers and software developers.  
   🔗 [mitmproxy.org](https://mitmproxy.org)  

2. <a href="https://github.com/locustio/locust">locustio/</a><b><a href="https://github.com/locustio/locust">locust</a></b> ⭐ 27,382    
   Write scalable load tests in plain Python 🚗💨  

3. <a href="https://github.com/microsoft/playwright-python">microsoft/</a><b><a href="https://github.com/microsoft/playwright-python">playwright-python</a></b> ⭐ 14,182    
   Playwright is a Python library to automate Chromium, Firefox and WebKit browsers with a single API.  
   🔗 [playwright.dev/python](https://playwright.dev/python/)  

4. <a href="https://github.com/pytest-dev/pytest">pytest-dev/</a><b><a href="https://github.com/pytest-dev/pytest">pytest</a></b> ⭐ 13,483    
   The pytest framework makes it easy to write small tests, yet scales to support complex functional testing  
   🔗 [pytest.org](https://pytest.org)  

5. <a href="https://github.com/confident-ai/deepeval">confident-ai/</a><b><a href="https://github.com/confident-ai/deepeval">deepeval</a></b> ⭐ 13,158    
   LLM evaluation framework similar to Pytest but specialized for unit testing LLM outputs. DeepEval incorporates the latest research to evaluate LLM outputs based on metrics such as G-Eval, hallucination, answer relevancy, RAGAS, etc  
   🔗 [deepeval.com](https://deepeval.com)  

6. <a href="https://github.com/seleniumbase/seleniumbase">seleniumbase/</a><b><a href="https://github.com/seleniumbase/seleniumbase">SeleniumBase</a></b> ⭐ 12,116    
   Python APIs for web automation, testing, and bypassing bot-detection with ease.  
   🔗 [seleniumbase.io](https://seleniumbase.io)  

7. <a href="https://github.com/robotframework/robotframework">robotframework/</a><b><a href="https://github.com/robotframework/robotframework">robotframework</a></b> ⭐ 11,370    
   Generic automation framework for acceptance testing and RPA  
   🔗 [robotframework.org](http://robotframework.org)  

8. <a href="https://github.com/hypothesisworks/hypothesis">hypothesisworks/</a><b><a href="https://github.com/hypothesisworks/hypothesis">hypothesis</a></b> ⭐ 8,407    
   The property-based testing library for Python  
   🔗 [hypothesis.works](https://hypothesis.works)  

9. <a href="https://github.com/getmoto/moto">getmoto/</a><b><a href="https://github.com/getmoto/moto">moto</a></b> ⭐ 8,161    
   A library that allows you to easily mock out tests based on AWS infrastructure.  
   🔗 [docs.getmoto.org/en/latest](http://docs.getmoto.org/en/latest/)  

10. <a href="https://github.com/newsapps/beeswithmachineguns">newsapps/</a><b><a href="https://github.com/newsapps/beeswithmachineguns">beeswithmachineguns</a></b> ⭐ 6,618    
   A utility for arming (creating) many bees (micro EC2 instances) to attack (load test) targets (web applications).  
   🔗 [apps.chicagotribune.com](http://apps.chicagotribune.com/)  

11. <a href="https://github.com/codium-ai/cover-agent">codium-ai/</a><b><a href="https://github.com/codium-ai/cover-agent">qodo-cover</a></b> ⭐ 5,262    
   Qodo-Cover: An AI-Powered Tool for Automated Test Generation and Code Coverage Enhancement! 💻🤖🧪🐞  
   🔗 [qodo.ai](https://qodo.ai/)  

12. <a href="https://github.com/spulec/freezegun">spulec/</a><b><a href="https://github.com/spulec/freezegun">freezegun</a></b> ⭐ 4,485    
   Let your Python tests travel through time  

13. <a href="https://github.com/getsentry/responses">getsentry/</a><b><a href="https://github.com/getsentry/responses">responses</a></b> ⭐ 4,316    
   A utility for mocking out the Python Requests library.  

14. <a href="https://github.com/tox-dev/tox">tox-dev/</a><b><a href="https://github.com/tox-dev/tox">tox</a></b> ⭐ 3,892    
   Command line driven CI frontend and development task automation tool.  
   🔗 [tox.wiki](https://tox.wiki)  

15. <a href="https://github.com/nedbat/coveragepy">nedbat/</a><b><a href="https://github.com/nedbat/coveragepy">coveragepy</a></b> ⭐ 3,308    
   The code coverage tool for Python  
   🔗 [coverage.readthedocs.io](https://coverage.readthedocs.io)  

## Machine Learning - Time Series

Machine learning and classical timeseries libraries: forecasting, seasonality, anomaly detection, econometrics.  

1. <a href="https://github.com/facebook/prophet">facebook/</a><b><a href="https://github.com/facebook/prophet">prophet</a></b> ⭐ 19,969    
   Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.  
   🔗 [facebook.github.io/prophet](https://facebook.github.io/prophet)  

2. <a href="https://github.com/sktime/sktime">sktime/</a><b><a href="https://github.com/sktime/sktime">sktime</a></b> ⭐ 9,464    
   A unified framework for machine learning with time series  
   🔗 [www.sktime.net](https://www.sktime.net)  

3. <a href="https://github.com/unit8co/darts">unit8co/</a><b><a href="https://github.com/unit8co/darts">darts</a></b> ⭐ 9,161    
   A python library for user-friendly forecasting and anomaly detection on time series.  
   🔗 [unit8co.github.io/darts](https://unit8co.github.io/darts/)  

4. <a href="https://github.com/blue-yonder/tsfresh">blue-yonder/</a><b><a href="https://github.com/blue-yonder/tsfresh">tsfresh</a></b> ⭐ 9,086    
   Automatic extraction of relevant features from time series:  
   🔗 [tsfresh.readthedocs.io](http://tsfresh.readthedocs.io)  

5. <a href="https://github.com/google-research/timesfm">google-research/</a><b><a href="https://github.com/google-research/timesfm">timesfm</a></b> ⭐ 7,665    
   TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.  
   🔗 [research.google/blog/a-decoder-only-foundation-model-for-time-series-forecasting](https://research.google/blog/a-decoder-only-foundation-model-for-time-series-forecasting/)  

6. <a href="https://github.com/facebookresearch/kats">facebookresearch/</a><b><a href="https://github.com/facebookresearch/kats">Kats</a></b> ⭐ 6,278    
   Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.   

7. <a href="https://github.com/awslabs/gluonts">awslabs/</a><b><a href="https://github.com/awslabs/gluonts">gluonts</a></b> ⭐ 5,123    
   Probabilistic time series modeling in Python  
   🔗 [ts.gluon.ai](https://ts.gluon.ai)  

8. <a href="https://github.com/amazon-science/chronos-forecasting">amazon-science/</a><b><a href="https://github.com/amazon-science/chronos-forecasting">chronos-forecasting</a></b> ⭐ 4,691    
   Chronos: Pretrained Models for Time Series Forecasting  
   🔗 [arxiv.org/abs/2510.15821](https://arxiv.org/abs/2510.15821)  

9. <a href="https://github.com/nixtla/statsforecast">nixtla/</a><b><a href="https://github.com/nixtla/statsforecast">statsforecast</a></b> ⭐ 4,661    
   Lightning ⚡️ fast forecasting with statistical and econometric models.  
   🔗 [nixtlaverse.nixtla.io/statsforecast](https://nixtlaverse.nixtla.io/statsforecast)  

10. <a href="https://github.com/salesforce/merlion">salesforce/</a><b><a href="https://github.com/salesforce/merlion">Merlion</a></b> ⭐ 4,474    
   Merlion: A Machine Learning Framework for Time Series Intelligence  

11. <a href="https://github.com/tdameritrade/stumpy">tdameritrade/</a><b><a href="https://github.com/tdameritrade/stumpy">stumpy</a></b> ⭐ 4,055    
   STUMPY is a powerful and scalable Python library for modern time series analysis  
   🔗 [stumpy.readthedocs.io/en/latest](https://stumpy.readthedocs.io/en/latest/)  

12. <a href="https://github.com/yuqinie98/patchtst">yuqinie98/</a><b><a href="https://github.com/yuqinie98/patchtst">PatchTST</a></b> ⭐ 2,409    
   An offical implementation of PatchTST: A Time Series is Worth 64 Words: Long-term Forecasting with Transformers  

13. <a href="https://github.com/aistream-peelout/flow-forecast">aistream-peelout/</a><b><a href="https://github.com/aistream-peelout/flow-forecast">flow-forecast</a></b> ⭐ 2,268    
   Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).  
   🔗 [flow-forecast.atlassian.net/wiki/spaces/ff/overview](https://flow-forecast.atlassian.net/wiki/spaces/FF/overview)  

14. <a href="https://github.com/uber/orbit">uber/</a><b><a href="https://github.com/uber/orbit">orbit</a></b> ⭐ 2,028    
   A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.  
   🔗 [orbit-ml.readthedocs.io/en/stable](https://orbit-ml.readthedocs.io/en/stable/)  

15. <a href="https://github.com/time-series-foundation-models/lag-llama">time-series-foundation-models/</a><b><a href="https://github.com/time-series-foundation-models/lag-llama">lag-llama</a></b> ⭐ 1,537    
   Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting  

16. <a href="https://github.com/ngruver/llmtime">ngruver/</a><b><a href="https://github.com/ngruver/llmtime">llmtime</a></b> ⭐ 819    
   LLMTime, a method for zero-shot time series forecasting with large language models (LLMs) by encoding numbers as text and sampling possible extrapolations as text completions  
   🔗 [arxiv.org/abs/2310.07820](https://arxiv.org/abs/2310.07820)  

17. <a href="https://github.com/google/temporian">google/</a><b><a href="https://github.com/google/temporian">temporian</a></b> ⭐ 708    
   Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applications 🤖  
   🔗 [temporian.readthedocs.io](https://temporian.readthedocs.io)  

## Typing

Typing libraries: static and run-time type checking, annotations.  

1. <a href="https://github.com/python/mypy">python/</a><b><a href="https://github.com/python/mypy">mypy</a></b> ⭐ 20,144    
   Optional static typing for Python  
   🔗 [www.mypy-lang.org](https://www.mypy-lang.org/)  

2. <a href="https://github.com/astral-sh/ty">astral-sh/</a><b><a href="https://github.com/astral-sh/ty">ty</a></b> ⭐ 16,731    
   An extremely fast Python type checker and language server, written in Rust.  
   🔗 [docs.astral.sh/ty](https://docs.astral.sh/ty/)  

3. <a href="https://github.com/microsoft/pyright">microsoft/</a><b><a href="https://github.com/microsoft/pyright">pyright</a></b> ⭐ 15,153    
   Static Type Checker for Python  

4. <a href="https://github.com/facebook/pyre-check">facebook/</a><b><a href="https://github.com/facebook/pyre-check">pyre-check</a></b> ⭐ 7,141    
   Performant type-checking for python.  
   🔗 [pyre-check.org](https://pyre-check.org/)  

5. <a href="https://github.com/python-attrs/attrs">python-attrs/</a><b><a href="https://github.com/python-attrs/attrs">attrs</a></b> ⭐ 5,711    
   Python Classes Without Boilerplate  
   🔗 [www.attrs.org](https://www.attrs.org/)  

6. <a href="https://github.com/facebook/pyrefly">facebook/</a><b><a href="https://github.com/facebook/pyrefly">pyrefly</a></b> ⭐ 5,247    
   A fast type checker and IDE for Python. (A new version of Pyre)  
   🔗 [pyrefly.org](http://pyrefly.org/)  

7. <a href="https://github.com/google/pytype">google/</a><b><a href="https://github.com/google/pytype">pytype</a></b> ⭐ 5,033    
   A static type analyzer for Python code  
   🔗 [google.github.io/pytype](https://google.github.io/pytype)  

8. <a href="https://github.com/instagram/monkeytype">instagram/</a><b><a href="https://github.com/instagram/monkeytype">MonkeyType</a></b> ⭐ 4,989    
   A Python library that generates static type annotations by collecting runtime types  

9. <a href="https://github.com/python/typeshed">python/</a><b><a href="https://github.com/python/typeshed">typeshed</a></b> ⭐ 4,988    
   Collection of library stubs for Python, with static types  

10. <a href="https://github.com/koxudaxi/datamodel-code-generator">koxudaxi/</a><b><a href="https://github.com/koxudaxi/datamodel-code-generator">datamodel-code-generator</a></b> ⭐ 3,718    
   Python data model generator (Pydantic, dataclasses, TypedDict, msgspec) from OpenAPI, JSON Schema, GraphQL, and raw data (JSON/YAML/CSV).  
   🔗 [koxudaxi.github.io/datamodel-code-generator](https://koxudaxi.github.io/datamodel-code-generator/)  

11. <a href="https://github.com/detachhead/basedpyright">detachhead/</a><b><a href="https://github.com/detachhead/basedpyright">basedpyright</a></b> ⭐ 3,054    
   Basedpyright is a fork of pyright with various type checking improvements, pylance features and more.  
   🔗 [docs.basedpyright.com](https://docs.basedpyright.com)  

12. <a href="https://github.com/mtshiba/pylyzer">mtshiba/</a><b><a href="https://github.com/mtshiba/pylyzer">pylyzer</a></b> ⭐ 2,875    
   A fast, feature-rich static code analyzer & language server for Python  
   🔗 [mtshiba.github.io/pylyzer](http://mtshiba.github.io/pylyzer/)  

13. <a href="https://github.com/microsoft/pylance-release">microsoft/</a><b><a href="https://github.com/microsoft/pylance-release">pylance-release</a></b> ⭐ 1,977    
   Fast, feature-rich language support for Python. Documentation and issues for Pylance.  

14. <a href="https://github.com/robertcraigie/pyright-python">robertcraigie/</a><b><a href="https://github.com/robertcraigie/pyright-python">pyright-python</a></b> ⭐ 258    
   Python command line wrapper for pyright, a static type checker  
   🔗 [pypi.org/project/pyright](https://pypi.org/project/pyright/)  

## Utility

General utility libraries: miscellaneous tools, linters, code formatters, version management, package tools, documentation tools.  

1. <a href="https://github.com/yt-dlp/yt-dlp">yt-dlp/</a><b><a href="https://github.com/yt-dlp/yt-dlp">yt-dlp</a></b> ⭐ 143,790    
   A feature-rich command-line audio/video downloader  
   🔗 [discord.gg/h5mncfw63r](https://discord.gg/H5MNcFW63r)  

2. <a href="https://github.com/home-assistant/core">home-assistant/</a><b><a href="https://github.com/home-assistant/core">core</a></b> ⭐ 84,357    
   🏡 Open source home automation that puts local control and privacy first.  
   🔗 [www.home-assistant.io](https://www.home-assistant.io)  

3. <a href="https://github.com/abi/screenshot-to-code">abi/</a><b><a href="https://github.com/abi/screenshot-to-code">screenshot-to-code</a></b> ⭐ 71,484    
   Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)  
   🔗 [screenshottocode.com](https://screenshottocode.com)  

4. <a href="https://github.com/python/cpython">python/</a><b><a href="https://github.com/python/cpython">cpython</a></b> ⭐ 71,201    
   The Python programming language  
   🔗 [www.python.org](https://www.python.org)  

5. <a href="https://github.com/localstack/localstack">localstack/</a><b><a href="https://github.com/localstack/localstack">localstack</a></b> ⭐ 64,183    
   💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline  
   🔗 [localstack.cloud](https://localstack.cloud)  

6. <a href="https://github.com/ggerganov/whisper.cpp">ggerganov/</a><b><a href="https://github.com/ggerganov/whisper.cpp">whisper.cpp</a></b> ⭐ 46,061    
   Port of OpenAI's Whisper model in C/C++  

7. <a href="https://github.com/faif/python-patterns">faif/</a><b><a href="https://github.com/faif/python-patterns">python-patterns</a></b> ⭐ 42,688    
   A collection of design patterns/idioms in Python  

8. <a href="https://github.com/mingrammer/diagrams">mingrammer/</a><b><a href="https://github.com/mingrammer/diagrams">diagrams</a></b> ⭐ 41,945    
   :art: Diagram as Code for prototyping cloud system architectures  
   🔗 [diagrams.mingrammer.com](https://diagrams.mingrammer.com)  

9. <a href="https://github.com/openai/openai-python">openai/</a><b><a href="https://github.com/openai/openai-python">openai-python</a></b> ⭐ 29,758    
   The official Python library for the OpenAI API  
   🔗 [pypi.org/project/openai](https://pypi.org/project/openai/)  

10. <a href="https://github.com/blakeblackshear/frigate">blakeblackshear/</a><b><a href="https://github.com/blakeblackshear/frigate">frigate</a></b> ⭐ 29,705    
   NVR with realtime local object detection for IP cameras  
   🔗 [frigate.video](https://frigate.video)  

11. <a href="https://github.com/pydantic/pydantic">pydantic/</a><b><a href="https://github.com/pydantic/pydantic">pydantic</a></b> ⭐ 26,549    
   Data validation using Python type hints  
   🔗 [docs.pydantic.dev](https://docs.pydantic.dev)  

12. <a href="https://github.com/squidfunk/mkdocs-material">squidfunk/</a><b><a href="https://github.com/squidfunk/mkdocs-material">mkdocs-material</a></b> ⭐ 25,858    
   Documentation that simply works  
   🔗 [squidfunk.github.io/mkdocs-material](https://squidfunk.github.io/mkdocs-material/)  

13. <a href="https://github.com/keon/algorithms">keon/</a><b><a href="https://github.com/keon/algorithms">algorithms</a></b> ⭐ 24,956    
   Minimal examples of data structures and algorithms in Python  

14. <a href="https://github.com/norvig/pytudes">norvig/</a><b><a href="https://github.com/norvig/pytudes">pytudes</a></b> ⭐ 24,251    
   Python programs, usually short, of considerable difficulty, to perfect particular skills.  

15. <a href="https://github.com/delgan/loguru">delgan/</a><b><a href="https://github.com/delgan/loguru">loguru</a></b> ⭐ 23,492    
   Python logging made (stupidly) simple  
   🔗 [loguru.readthedocs.io](https://loguru.readthedocs.io)  

16. <a href="https://github.com/facebookresearch/audiocraft">facebookresearch/</a><b><a href="https://github.com/facebookresearch/audiocraft">audiocraft</a></b> ⭐ 22,929    
   Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.  

17. <a href="https://github.com/chriskiehl/gooey">chriskiehl/</a><b><a href="https://github.com/chriskiehl/gooey">Gooey</a></b> ⭐ 22,040    
   Turn (almost) any Python command line program into a full GUI application with one line  

18. <a href="https://github.com/rustpython/rustpython">rustpython/</a><b><a href="https://github.com/rustpython/rustpython">RustPython</a></b> ⭐ 21,718    
   A Python Interpreter written in Rust  
   🔗 [rustpython.github.io](https://rustpython.github.io)  

19. <a href="https://github.com/mkdocs/mkdocs">mkdocs/</a><b><a href="https://github.com/mkdocs/mkdocs">mkdocs</a></b> ⭐ 21,625    
   Project documentation with Markdown.  
   🔗 [www.mkdocs.org](https://www.mkdocs.org)  

20. <a href="https://github.com/micropython/micropython">micropython/</a><b><a href="https://github.com/micropython/micropython">micropython</a></b> ⭐ 21,373    
   MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems  
   🔗 [micropython.org](https://micropython.org)  

21. <a href="https://github.com/higherorderco/bend">higherorderco/</a><b><a href="https://github.com/higherorderco/bend">Bend</a></b> ⭐ 19,144    
   A massively parallel, high-level programming language  
   🔗 [higherorderco.com](https://higherorderco.com)  

22. <a href="https://github.com/kivy/kivy">kivy/</a><b><a href="https://github.com/kivy/kivy">kivy</a></b> ⭐ 18,828    
   Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS  
   🔗 [kivy.org](https://kivy.org)  

23. <a href="https://github.com/openai/triton">openai/</a><b><a href="https://github.com/openai/triton">triton</a></b> ⭐ 18,225    
   Development repository for the Triton language and compiler  
   🔗 [triton-lang.org](https://triton-lang.org/)  

24. <a href="https://github.com/comet-ml/opik">comet-ml/</a><b><a href="https://github.com/comet-ml/opik">opik</a></b> ⭐ 17,482    
   Opik is an open-source platform for evaluating, testing and monitoring LLM applications.  
   🔗 [www.comet.com/docs/opik](https://www.comet.com/docs/opik/)  

25. <a href="https://github.com/ipython/ipython">ipython/</a><b><a href="https://github.com/ipython/ipython">ipython</a></b> ⭐ 16,662    
   Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.  
   🔗 [ipython.readthedocs.org](https://ipython.readthedocs.org)  

26. <a href="https://github.com/alievk/avatarify-python">alievk/</a><b><a href="https://github.com/alievk/avatarify-python">avatarify-python</a></b> ⭐ 16,550    
   Avatars for Zoom, Skype and other video-conferencing apps.  

27. <a href="https://github.com/caronc/apprise">caronc/</a><b><a href="https://github.com/caronc/apprise">apprise</a></b> ⭐ 15,648    
   Apprise - Push Notifications that work with just about every platform!  
   🔗 [hub.docker.com/r/caronc/apprise](https://hub.docker.com/r/caronc/apprise)  

28. <a href="https://github.com/pyo3/pyo3">pyo3/</a><b><a href="https://github.com/pyo3/pyo3">pyo3</a></b> ⭐ 15,202    
   Rust bindings for the Python interpreter  
   🔗 [pyo3.rs](https://pyo3.rs)  

29. <a href="https://github.com/google/brotli">google/</a><b><a href="https://github.com/google/brotli">brotli</a></b> ⭐ 14,548    
   Brotli is a generic-purpose lossless compression algorithm that compresses data using a combination of a modern variant of the LZ77 algorithm, Huffman coding and 2nd order context modeling  

30. <a href="https://github.com/nuitka/nuitka">nuitka/</a><b><a href="https://github.com/nuitka/nuitka">Nuitka</a></b> ⭐ 14,417    
   Nuitka is a Python compiler written in Python.  It's fully compatible with Python 2.6, 2.7, 3.4-3.13. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.   
   🔗 [nuitka.net](http://nuitka.net)  

31. <a href="https://github.com/zulko/moviepy">zulko/</a><b><a href="https://github.com/zulko/moviepy">moviepy</a></b> ⭐ 14,268    
   Video editing with Python  
   🔗 [zulko.github.io/moviepy](https://zulko.github.io/moviepy/)  

32. <a href="https://github.com/pyodide/pyodide">pyodide/</a><b><a href="https://github.com/pyodide/pyodide">pyodide</a></b> ⭐ 14,148    
   Pyodide is a Python distribution for the browser and Node.js based on WebAssembly  
   🔗 [pyodide.org/en/stable](https://pyodide.org/en/stable/)  

33. <a href="https://github.com/python-pillow/pillow">python-pillow/</a><b><a href="https://github.com/python-pillow/pillow">Pillow</a></b> ⭐ 13,332    
   The Python Imaging Library adds image processing capabilities to Python (Pillow is the friendly PIL fork)  
   🔗 [python-pillow.github.io](https://python-pillow.github.io)  

34. <a href="https://github.com/pytube/pytube">pytube/</a><b><a href="https://github.com/pytube/pytube">pytube</a></b> ⭐ 13,066    
   A lightweight, dependency-free Python library (and command-line utility) for downloading YouTube Videos.  
   🔗 [pytube.io](https://pytube.io)  

35. <a href="https://github.com/ninja-build/ninja">ninja-build/</a><b><a href="https://github.com/ninja-build/ninja">ninja</a></b> ⭐ 12,636    
   Ninja is a small build system with a focus on speed.  
   🔗 [ninja-build.org](https://ninja-build.org/)  

36. <a href="https://github.com/asweigart/pyautogui">asweigart/</a><b><a href="https://github.com/asweigart/pyautogui">pyautogui</a></b> ⭐ 12,236    
   A cross-platform GUI automation Python module for human beings. Used to programmatically control the mouse & keyboard.  

37. <a href="https://github.com/dbader/schedule">dbader/</a><b><a href="https://github.com/dbader/schedule">schedule</a></b> ⭐ 12,225    
   Python job scheduling for humans.  
   🔗 [schedule.readthedocs.io](https://schedule.readthedocs.io/)  

38. <a href="https://github.com/secdev/scapy">secdev/</a><b><a href="https://github.com/secdev/scapy">scapy</a></b> ⭐ 12,003    
   Scapy: the Python-based interactive packet manipulation program & library.  
   🔗 [scapy.net](https://scapy.net)  

39. <a href="https://github.com/magicstack/uvloop">magicstack/</a><b><a href="https://github.com/magicstack/uvloop">uvloop</a></b> ⭐ 11,607    
   Ultra fast asyncio event loop.  

40. <a href="https://github.com/icloud-photos-downloader/icloud_photos_downloader">icloud-photos-downloader/</a><b><a href="https://github.com/icloud-photos-downloader/icloud_photos_downloader">icloud_photos_downloader</a></b> ⭐ 11,439    
   A command-line tool to download photos from iCloud  

41. <a href="https://github.com/pallets/jinja">pallets/</a><b><a href="https://github.com/pallets/jinja">jinja</a></b> ⭐ 11,404    
   A very fast and expressive template engine.  
   🔗 [jinja.palletsprojects.com](https://jinja.palletsprojects.com)  

42. <a href="https://github.com/aristocratos/bpytop">aristocratos/</a><b><a href="https://github.com/aristocratos/bpytop">bpytop</a></b> ⭐ 10,854    
   Linux/OSX/FreeBSD resource monitor  

43. <a href="https://github.com/cython/cython">cython/</a><b><a href="https://github.com/cython/cython">cython</a></b> ⭐ 10,580    
   The most widely used Python to C compiler  
   🔗 [cython.org](https://cython.org)  

44. <a href="https://github.com/facebookresearch/hydra">facebookresearch/</a><b><a href="https://github.com/facebookresearch/hydra">hydra</a></b> ⭐ 10,139    
   Hydra is a framework for elegantly configuring complex applications  
   🔗 [hydra.cc](https://hydra.cc)  

45. <a href="https://github.com/py-pdf/pypdf2">py-pdf/</a><b><a href="https://github.com/py-pdf/pypdf2">pypdf</a></b> ⭐ 9,761    
   A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files  
   🔗 [pypdf.readthedocs.io/en/latest](https://pypdf.readthedocs.io/en/latest/)  

46. <a href="https://github.com/boto/boto3">boto/</a><b><a href="https://github.com/boto/boto3">boto3</a></b> ⭐ 9,665    
   Boto3, an AWS SDK for Python  
   🔗 [aws.amazon.com/sdk-for-python](https://aws.amazon.com/sdk-for-python/)  

47. <a href="https://github.com/paramiko/paramiko">paramiko/</a><b><a href="https://github.com/paramiko/paramiko">paramiko</a></b> ⭐ 9,661    
   The leading native Python SSHv2 protocol library.  
   🔗 [paramiko.org](http://paramiko.org)  

48. <a href="https://github.com/aws/serverless-application-model">aws/</a><b><a href="https://github.com/aws/serverless-application-model">serverless-application-model</a></b> ⭐ 9,546    
   The AWS Serverless Application Model (AWS SAM) transform is a AWS CloudFormation macro that transforms SAM templates into CloudFormation templates.  
   🔗 [aws.amazon.com/serverless/sam](https://aws.amazon.com/serverless/sam)  

49. <a href="https://github.com/xonsh/xonsh">xonsh/</a><b><a href="https://github.com/xonsh/xonsh">xonsh</a></b> ⭐ 9,186    
   🐚 Python-powered shell. Full-featured and cross-platform.  
   🔗 [xon.sh](http://xon.sh)  

50. <a href="https://github.com/arrow-py/arrow">arrow-py/</a><b><a href="https://github.com/arrow-py/arrow">arrow</a></b> ⭐ 9,015    
   🏹 Better dates & times for Python  
   🔗 [arrow.readthedocs.io](https://arrow.readthedocs.io)  

51. <a href="https://github.com/googleapis/google-api-python-client">googleapis/</a><b><a href="https://github.com/googleapis/google-api-python-client">google-api-python-client</a></b> ⭐ 8,678    
   🐍 The official Python client library for Google's discovery based APIs.  
   🔗 [googleapis.github.io/google-api-python-client/docs](https://googleapis.github.io/google-api-python-client/docs/)  

52. <a href="https://github.com/eternnoir/pytelegrambotapi">eternnoir/</a><b><a href="https://github.com/eternnoir/pytelegrambotapi">pyTelegramBotAPI</a></b> ⭐ 8,662    
   Python Telegram bot api.  

53. <a href="https://github.com/theskumar/python-dotenv">theskumar/</a><b><a href="https://github.com/theskumar/python-dotenv">python-dotenv</a></b> ⭐ 8,619    
   Reads key-value pairs from a .env file and can set them as environment variables. It helps in developing applications following the 12-factor principles.  
   🔗 [saurabh-kumar.com/python-dotenv](https://saurabh-kumar.com/python-dotenv/)  

54. <a href="https://github.com/kellyjonbrazil/jc">kellyjonbrazil/</a><b><a href="https://github.com/kellyjonbrazil/jc">jc</a></b> ⭐ 8,510    
   CLI tool and python library that converts the output of popular command-line tools, file-types, and common strings to JSON, YAML, or Dictionaries. This allows piping of output to tools like jq and simplifying automation scripts.  

55. <a href="https://github.com/jasonppy/voicecraft">jasonppy/</a><b><a href="https://github.com/jasonppy/voicecraft">VoiceCraft</a></b> ⭐ 8,456    
   Zero-Shot Speech Editing and Text-to-Speech in the Wild  

56. <a href="https://github.com/jd/tenacity">jd/</a><b><a href="https://github.com/jd/tenacity">tenacity</a></b> ⭐ 8,287    
   Retrying library for Python  
   🔗 [tenacity.readthedocs.io](http://tenacity.readthedocs.io)  

57. <a href="https://github.com/googlecloudplatform/python-docs-samples">googlecloudplatform/</a><b><a href="https://github.com/googlecloudplatform/python-docs-samples">python-docs-samples</a></b> ⭐ 7,956    
   Code samples used on cloud.google.com  

58. <a href="https://github.com/timdettmers/bitsandbytes">timdettmers/</a><b><a href="https://github.com/timdettmers/bitsandbytes">bitsandbytes</a></b> ⭐ 7,912    
   Accessible large language models via k-bit quantization for PyTorch.  
   🔗 [huggingface.co/docs/bitsandbytes/main/en/index](https://huggingface.co/docs/bitsandbytes/main/en/index)  

59. <a href="https://github.com/ijl/orjson">ijl/</a><b><a href="https://github.com/ijl/orjson">orjson</a></b> ⭐ 7,827    
   Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy  

60. <a href="https://github.com/pygithub/pygithub">pygithub/</a><b><a href="https://github.com/pygithub/pygithub">PyGithub</a></b> ⭐ 7,647    
   Typed interactions with the GitHub API v3  
   🔗 [pygithub.readthedocs.io](https://pygithub.readthedocs.io/)  

61. <a href="https://github.com/sphinx-doc/sphinx">sphinx-doc/</a><b><a href="https://github.com/sphinx-doc/sphinx">sphinx</a></b> ⭐ 7,627    
   The Sphinx documentation generator  
   🔗 [www.sphinx-doc.org](https://www.sphinx-doc.org/)  

62. <a href="https://github.com/google/latexify_py">google/</a><b><a href="https://github.com/google/latexify_py">latexify_py</a></b> ⭐ 7,592    
   A library to generate LaTeX expression from Python code.  

63. <a href="https://github.com/pyca/cryptography">pyca/</a><b><a href="https://github.com/pyca/cryptography">cryptography</a></b> ⭐ 7,446    
   cryptography is a package designed to expose cryptographic primitives and recipes to Python developers.  
   🔗 [cryptography.io](https://cryptography.io)  

64. <a href="https://github.com/bndr/pipreqs">bndr/</a><b><a href="https://github.com/bndr/pipreqs">pipreqs</a></b> ⭐ 7,417    
   pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.  

65. <a href="https://github.com/agronholm/apscheduler">agronholm/</a><b><a href="https://github.com/agronholm/apscheduler">apscheduler</a></b> ⭐ 7,257    
   Task scheduling library for Python  
   🔗 [apscheduler.readthedocs.io](https://apscheduler.readthedocs.io/)  

66. <a href="https://github.com/gorakhargosh/watchdog">gorakhargosh/</a><b><a href="https://github.com/gorakhargosh/watchdog">watchdog</a></b> ⭐ 7,234    
   Python library and shell utilities to monitor filesystem events.  
   🔗 [packages.python.org/watchdog](http://packages.python.org/watchdog/)  

67. <a href="https://github.com/marshmallow-code/marshmallow">marshmallow-code/</a><b><a href="https://github.com/marshmallow-code/marshmallow">marshmallow</a></b> ⭐ 7,231    
   A lightweight library for converting complex objects to and from simple Python datatypes.  
   🔗 [marshmallow.readthedocs.io](https://marshmallow.readthedocs.io/)  

68. <a href="https://github.com/hugapi/hug">hugapi/</a><b><a href="https://github.com/hugapi/hug">hug</a></b> ⭐ 6,906    
   Embrace the APIs of the future. Hug aims to make developing APIs as simple as possible, but no simpler.  

69. <a href="https://github.com/pdfminer/pdfminer.six">pdfminer/</a><b><a href="https://github.com/pdfminer/pdfminer.six">pdfminer.six</a></b> ⭐ 6,871    
   Community maintained fork of pdfminer - we fathom PDF  
   🔗 [pdfminersix.readthedocs.io](https://pdfminersix.readthedocs.io)  

70. <a href="https://github.com/openai/point-e">openai/</a><b><a href="https://github.com/openai/point-e">point-e</a></b> ⭐ 6,849    
   Point cloud diffusion for 3D model synthesis  

71. <a href="https://github.com/traceloop/openllmetry">traceloop/</a><b><a href="https://github.com/traceloop/openllmetry">openllmetry</a></b> ⭐ 6,784    
   Open-source observability for your GenAI or LLM application, based on OpenTelemetry  
   🔗 [www.traceloop.com/openllmetry](https://www.traceloop.com/openllmetry)  

72. <a href="https://github.com/sdispater/pendulum">sdispater/</a><b><a href="https://github.com/sdispater/pendulum">pendulum</a></b> ⭐ 6,609    
   Python datetimes made easy  
   🔗 [pendulum.eustace.io](https://pendulum.eustace.io)  

73. <a href="https://github.com/scikit-image/scikit-image">scikit-image/</a><b><a href="https://github.com/scikit-image/scikit-image">scikit-image</a></b> ⭐ 6,431    
   Image processing in Python  
   🔗 [scikit-image.org](https://scikit-image.org)  

74. <a href="https://github.com/pytransitions/transitions">pytransitions/</a><b><a href="https://github.com/pytransitions/transitions">transitions</a></b> ⭐ 6,392    
   A lightweight, object-oriented finite state machine implementation in Python with many extensions  

75. <a href="https://github.com/wireservice/csvkit">wireservice/</a><b><a href="https://github.com/wireservice/csvkit">csvkit</a></b> ⭐ 6,328    
   A suite of utilities for converting to and working with CSV, the king of tabular file formats.  
   🔗 [csvkit.readthedocs.io](https://csvkit.readthedocs.io)  

76. <a href="https://github.com/rsalmei/alive-progress">rsalmei/</a><b><a href="https://github.com/rsalmei/alive-progress">alive-progress</a></b> ⭐ 6,221    
   A new kind of Progress Bar, with real-time throughput, ETA, and very cool animations!  

77. <a href="https://github.com/spotify/pedalboard">spotify/</a><b><a href="https://github.com/spotify/pedalboard">pedalboard</a></b> ⭐ 5,941    
   🎛 🔊 A Python library for audio.  
   🔗 [spotify.github.io/pedalboard](https://spotify.github.io/pedalboard)  

78. <a href="https://github.com/pywinauto/pywinauto">pywinauto/</a><b><a href="https://github.com/pywinauto/pywinauto">pywinauto</a></b> ⭐ 5,863    
   Windows GUI Automation with Python (based on text properties)  
   🔗 [pywinauto.github.io](http://pywinauto.github.io/)  

79. <a href="https://github.com/tebelorg/rpa-python">tebelorg/</a><b><a href="https://github.com/tebelorg/rpa-python">RPA-Python</a></b> ⭐ 5,442    
   Python package for doing RPA  

80. <a href="https://github.com/buildbot/buildbot">buildbot/</a><b><a href="https://github.com/buildbot/buildbot">buildbot</a></b> ⭐ 5,423    
   Python-based continuous integration testing framework; your pull requests are more than welcome!  
   🔗 [www.buildbot.net](https://www.buildbot.net)  

81. <a href="https://github.com/prompt-toolkit/ptpython">prompt-toolkit/</a><b><a href="https://github.com/prompt-toolkit/ptpython">ptpython</a></b> ⭐ 5,394    
   A better Python REPL  

82. <a href="https://github.com/pythonnet/pythonnet">pythonnet/</a><b><a href="https://github.com/pythonnet/pythonnet">pythonnet</a></b> ⭐ 5,385    
   Python for .NET is a package that gives Python programmers nearly seamless integration with the .NET Common Language Runtime (CLR) and provides a powerful application scripting tool for .NET developers.  
   🔗 [pythonnet.github.io](http://pythonnet.github.io)  

83. <a href="https://github.com/pyo3/maturin">pyo3/</a><b><a href="https://github.com/pyo3/maturin">maturin</a></b> ⭐ 5,317    
   Build and publish crates with pyo3, cffi and uniffi bindings as well as rust binaries as python packages  
   🔗 [maturin.rs](https://maturin.rs)  

84. <a href="https://github.com/pycqa/pycodestyle">pycqa/</a><b><a href="https://github.com/pycqa/pycodestyle">pycodestyle</a></b> ⭐ 5,149    
   Simple Python style checker in one Python file  
   🔗 [pycodestyle.pycqa.org](https://pycodestyle.pycqa.org)  

85. <a href="https://github.com/ashleve/lightning-hydra-template">ashleve/</a><b><a href="https://github.com/ashleve/lightning-hydra-template">lightning-hydra-template</a></b> ⭐ 5,116    
   PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation.  ⚡🔥⚡  

86. <a href="https://github.com/pytoolz/toolz">pytoolz/</a><b><a href="https://github.com/pytoolz/toolz">toolz</a></b> ⭐ 5,112    
   A functional standard library for Python.  
   🔗 [toolz.readthedocs.org](http://toolz.readthedocs.org/)  

87. <a href="https://github.com/bogdanp/dramatiq">bogdanp/</a><b><a href="https://github.com/bogdanp/dramatiq">dramatiq</a></b> ⭐ 5,098    
   A fast and reliable background task processing library for Python 3.  
   🔗 [dramatiq.io](https://dramatiq.io)  

88. <a href="https://github.com/gitpython-developers/gitpython">gitpython-developers/</a><b><a href="https://github.com/gitpython-developers/gitpython">GitPython</a></b> ⭐ 5,063    
   GitPython is a python library used to interact with Git repositories.  
   🔗 [gitpython.readthedocs.org](http://gitpython.readthedocs.org)  

89. <a href="https://github.com/jorgebastida/awslogs">jorgebastida/</a><b><a href="https://github.com/jorgebastida/awslogs">awslogs</a></b> ⭐ 4,975    
   AWS CloudWatch logs for Humans™  

90. <a href="https://github.com/ets-labs/python-dependency-injector">ets-labs/</a><b><a href="https://github.com/ets-labs/python-dependency-injector">python-dependency-injector</a></b> ⭐ 4,779    
   Dependency injection framework for Python  
   🔗 [python-dependency-injector.ets-labs.org](https://python-dependency-injector.ets-labs.org/)  

91. <a href="https://github.com/pyinvoke/invoke">pyinvoke/</a><b><a href="https://github.com/pyinvoke/invoke">invoke</a></b> ⭐ 4,695    
   Pythonic task management & command execution.  
   🔗 [pyinvoke.org](http://pyinvoke.org)  

92. <a href="https://github.com/pyinfra-dev/pyinfra">pyinfra-dev/</a><b><a href="https://github.com/pyinfra-dev/pyinfra">pyinfra</a></b> ⭐ 4,673    
   🔧 pyinfra turns Python code into shell commands and runs them on your servers. Execute ad-hoc commands and write declarative operations. Target SSH servers, local machine and Docker containers. Fast and scales from one server to thousands.  
   🔗 [pyinfra.com](https://pyinfra.com)  

93. <a href="https://github.com/spotify/basic-pitch">spotify/</a><b><a href="https://github.com/spotify/basic-pitch">basic-pitch</a></b> ⭐ 4,609    
   A lightweight yet powerful audio-to-MIDI converter with pitch bend detection  
   🔗 [basicpitch.io](https://basicpitch.io)  

94. <a href="https://github.com/blealtan/efficient-kan">blealtan/</a><b><a href="https://github.com/blealtan/efficient-kan">efficient-kan</a></b> ⭐ 4,566    
   An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).  

95. <a href="https://github.com/pydantic/monty">pydantic/</a><b><a href="https://github.com/pydantic/monty">monty</a></b> ⭐ 4,523    
   A minimal, secure Python interpreter written in Rust for use by AI  

96. <a href="https://github.com/hynek/structlog">hynek/</a><b><a href="https://github.com/hynek/structlog">structlog</a></b> ⭐ 4,517    
   Simple, powerful, and fast logging for Python.  
   🔗 [www.structlog.org](https://www.structlog.org/)  

97. <a href="https://github.com/adafruit/circuitpython">adafruit/</a><b><a href="https://github.com/adafruit/circuitpython">circuitpython</a></b> ⭐ 4,455    
   CircuitPython - a Python implementation for teaching coding with microcontrollers  
   🔗 [circuitpython.org](https://circuitpython.org)  

98. <a href="https://github.com/miguelgrinberg/python-socketio">miguelgrinberg/</a><b><a href="https://github.com/miguelgrinberg/python-socketio">python-socketio</a></b> ⭐ 4,309    
   Python Socket.IO server and client  

99. <a href="https://github.com/evhub/coconut">evhub/</a><b><a href="https://github.com/evhub/coconut">coconut</a></b> ⭐ 4,299    
   Coconut (coconut-lang.org) is a variant of Python that adds on top of Python syntax new features for simple, elegant, Pythonic functional programming.  
   🔗 [coconut-lang.org](http://coconut-lang.org)  

100. <a href="https://github.com/pydata/xarray">pydata/</a><b><a href="https://github.com/pydata/xarray">xarray</a></b> ⭐ 4,070    
   N-D labeled arrays and datasets in Python  
   🔗 [xarray.dev](https://xarray.dev)  

101. <a href="https://github.com/pydantic/logfire">pydantic/</a><b><a href="https://github.com/pydantic/logfire">logfire</a></b> ⭐ 3,955    
   AI observability platform for production LLM and agent systems.  
   🔗 [logfire.pydantic.dev/docs](https://logfire.pydantic.dev/docs/)  

102. <a href="https://github.com/tartley/colorama">tartley/</a><b><a href="https://github.com/tartley/colorama">colorama</a></b> ⭐ 3,765    
   Simple cross-platform colored terminal text in Python  

103. <a href="https://github.com/camelot-dev/camelot">camelot-dev/</a><b><a href="https://github.com/camelot-dev/camelot">camelot</a></b> ⭐ 3,576    
   A Python library to extract tabular data from PDFs  
   🔗 [camelot-py.readthedocs.io](https://camelot-py.readthedocs.io)  

104. <a href="https://github.com/jorisschellekens/borb">jorisschellekens/</a><b><a href="https://github.com/jorisschellekens/borb">borb</a></b> ⭐ 3,551    
   borb is a library for reading, creating and manipulating PDF files in python.  
   🔗 [borbpdf.com](https://borbpdf.com/)  

105. <a href="https://github.com/jcrist/msgspec">jcrist/</a><b><a href="https://github.com/jcrist/msgspec">msgspec</a></b> ⭐ 3,530    
   A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML  
   🔗 [jcristharif.com/msgspec](https://jcristharif.com/msgspec/)  

106. <a href="https://github.com/osohq/oso">osohq/</a><b><a href="https://github.com/osohq/oso">oso</a></b> ⭐ 3,494    
   Deprecated: See README  

107. <a href="https://github.com/pyserial/pyserial">pyserial/</a><b><a href="https://github.com/pyserial/pyserial">pyserial</a></b> ⭐ 3,490    
   Python serial port access library  
   🔗 [pyserial.readthedocs.io/en/latest](http://pyserial.readthedocs.io/en/latest/)  

108. <a href="https://github.com/karpathy/reader3">karpathy/</a><b><a href="https://github.com/karpathy/reader3">reader3</a></b> ⭐ 3,261    
   A lightweight, self-hosted EPUB reader that lets you read through EPUB books one chapter at a time.  

109. <a href="https://github.com/libaudioflux/audioflux">libaudioflux/</a><b><a href="https://github.com/libaudioflux/audioflux">audioFlux</a></b> ⭐ 3,241    
   A library for audio and music analysis, feature extraction.  
   🔗 [audioflux.top](https://audioflux.top)  

110. <a href="https://github.com/rhettbull/osxphotos">rhettbull/</a><b><a href="https://github.com/rhettbull/osxphotos">osxphotos</a></b> ⭐ 3,230    
   Python app to work with pictures and associated metadata from Apple Photos on macOS. Also includes a package to provide programmatic access to the Photos library, pictures, and metadata.   

111. <a href="https://github.com/cdgriffith/box">cdgriffith/</a><b><a href="https://github.com/cdgriffith/box">Box</a></b> ⭐ 2,815    
   Python dictionaries with advanced dot notation access  
   🔗 [github.com/cdgriffith/box/wiki](https://github.com/cdgriffith/Box/wiki)  

112. <a href="https://github.com/whylabs/whylogs">whylabs/</a><b><a href="https://github.com/whylabs/whylogs">whylogs</a></b> ⭐ 2,788    
   An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈  
   🔗 [whylogs.readthedocs.io](https://whylogs.readthedocs.io/)  

113. <a href="https://github.com/liiight/notifiers">liiight/</a><b><a href="https://github.com/liiight/notifiers">notifiers</a></b> ⭐ 2,728    
   The easy way to send notifications  
   🔗 [notifiers.readthedocs.io](http://notifiers.readthedocs.io/)  

114. <a href="https://github.com/litl/backoff">litl/</a><b><a href="https://github.com/litl/backoff">backoff</a></b> ⭐ 2,702    
   Python library providing function decorators for configurable backoff and retry  

115. <a href="https://github.com/anthropics/anthropic-sdk-python">anthropics/</a><b><a href="https://github.com/anthropics/anthropic-sdk-python">anthropic-sdk-python</a></b> ⭐ 2,651    
   SDK providing access to Anthropic's safety-first language model APIs  

116. <a href="https://github.com/dosisod/refurb">dosisod/</a><b><a href="https://github.com/dosisod/refurb">refurb</a></b> ⭐ 2,519    
   A tool for refurbishing and modernizing Python codebases  

117. <a href="https://github.com/pyston/pyston">pyston/</a><b><a href="https://github.com/pyston/pyston">pyston</a></b> ⭐ 2,509    
   (No longer maintained) A faster and highly-compatible implementation of the Python programming language.  
   🔗 [www.pyston.org](https://www.pyston.org/)  

118. <a href="https://github.com/astanin/python-tabulate">astanin/</a><b><a href="https://github.com/astanin/python-tabulate">python-tabulate</a></b> ⭐ 2,508    
   Pretty-print tabular data in Python, a library and a command-line utility. Repository migrated from bitbucket.org/astanin/python-tabulate.  
   🔗 [pypi.org/project/tabulate](https://pypi.org/project/tabulate/)  

119. <a href="https://github.com/omry/omegaconf">omry/</a><b><a href="https://github.com/omry/omegaconf">omegaconf</a></b> ⭐ 2,330    
   Flexible Python configuration system. The last one you will ever need.  

120. <a href="https://github.com/ariebovenberg/whenever">ariebovenberg/</a><b><a href="https://github.com/ariebovenberg/whenever">whenever</a></b> ⭐ 2,285    
   ⏰ Modern datetime library for Python  
   🔗 [whenever.rtfd.io](https://whenever.rtfd.io)  

121. <a href="https://github.com/open-telemetry/opentelemetry-python">open-telemetry/</a><b><a href="https://github.com/open-telemetry/opentelemetry-python">opentelemetry-python</a></b> ⭐ 2,285    
   OpenTelemetry Python API and SDK   
   🔗 [opentelemetry.io](https://opentelemetry.io)  

122. <a href="https://github.com/p0dalirius/coercer">p0dalirius/</a><b><a href="https://github.com/p0dalirius/coercer">Coercer</a></b> ⭐ 2,164    
   A python script to automatically coerce a Windows server to authenticate on an arbitrary machine through 12 methods.  
   🔗 [podalirius.net](https://podalirius.net/)  

123. <a href="https://github.com/pygments/pygments">pygments/</a><b><a href="https://github.com/pygments/pygments">pygments</a></b> ⭐ 2,098    
   Pygments is a generic syntax highlighter written in Python  
   🔗 [pygments.org](http://pygments.org/)  

124. <a href="https://github.com/mkdocstrings/mkdocstrings">mkdocstrings/</a><b><a href="https://github.com/mkdocstrings/mkdocstrings">mkdocstrings</a></b> ⭐ 2,043    
   📘 Automatic documentation from sources, for MkDocs.  
   🔗 [mkdocstrings.github.io](https://mkdocstrings.github.io/)  

125. <a href="https://github.com/karpathy/rendergit">karpathy/</a><b><a href="https://github.com/karpathy/rendergit">rendergit</a></b> ⭐ 2,011    
   Render any git repo into a single static HTML page for humans or LLMs  

126. <a href="https://github.com/chrishayuk/mcp-cli">chrishayuk/</a><b><a href="https://github.com/chrishayuk/mcp-cli">mcp-cli</a></b> ⭐ 1,844    
   A protocol-level CLI designed to interact with a Model Context Protocol server. The client allows users to send commands, query data, and interact with various resources provided by the server.  

127. <a href="https://github.com/extensityai/symbolicai">extensityai/</a><b><a href="https://github.com/extensityai/symbolicai">symbolicai</a></b> ⭐ 1,659    
   Compositional Differentiable Programming Library - divide-and-conquer approach to break down a complex problem into smaller, more manageable problems.  

128. <a href="https://github.com/pypy/pypy">pypy/</a><b><a href="https://github.com/pypy/pypy">pypy</a></b> ⭐ 1,635    
   PyPy is a very fast and compliant implementation of the Python language.  
   🔗 [pypy.org](https://pypy.org)  

129. <a href="https://github.com/lcompilers/lpython">lcompilers/</a><b><a href="https://github.com/lcompilers/lpython">lpython</a></b> ⭐ 1,627    
   Python compiler  
   🔗 [lpython.org](https://lpython.org/)  

130. <a href="https://github.com/juanbindez/pytubefix">juanbindez/</a><b><a href="https://github.com/juanbindez/pytubefix">pytubefix</a></b> ⭐ 1,445    
   Python3 library for downloading YouTube Videos.   
   🔗 [pytubefix.readthedocs.io](https://pytubefix.readthedocs.io)  

131. <a href="https://github.com/daveebbelaar/python-whatsapp-bot">daveebbelaar/</a><b><a href="https://github.com/daveebbelaar/python-whatsapp-bot">python-whatsapp-bot</a></b> ⭐ 1,438    
   This guide will walk you through the process of creating a WhatsApp bot using the Meta (formerly Facebook) Cloud API with pure Python, and Flask  
   🔗 [www.datalumina.com](https://www.datalumina.com)  

132. <a href="https://github.com/pydantic/pydantic-settings">pydantic/</a><b><a href="https://github.com/pydantic/pydantic-settings">pydantic-settings</a></b> ⭐ 1,227    
   Settings management using pydantic  
   🔗 [docs.pydantic.dev/latest/usage/pydantic_settings](https://docs.pydantic.dev/latest/usage/pydantic_settings/)  

133. <a href="https://github.com/barracuda-fsh/pyobd">barracuda-fsh/</a><b><a href="https://github.com/barracuda-fsh/pyobd">pyobd</a></b> ⭐ 1,140    
   An OBD-II compliant car diagnostic tool  

134. <a href="https://github.com/modal-labs/modal-examples">modal-labs/</a><b><a href="https://github.com/modal-labs/modal-examples">modal-examples</a></b> ⭐ 1,087    
   Examples of programs built using Modal  
   🔗 [modal.com/docs](https://modal.com/docs)  

135. <a href="https://github.com/lastmile-ai/aiconfig">lastmile-ai/</a><b><a href="https://github.com/lastmile-ai/aiconfig">aiconfig</a></b> ⭐ 1,077    
   AIConfig saves prompts, models and model parameters as source control friendly configs. This allows you to iterate on prompts and model parameters separately from your application code.  
   🔗 [aiconfig.lastmileai.dev](https://aiconfig.lastmileai.dev)  

136. <a href="https://github.com/tavily-ai/tavily-python">tavily-ai/</a><b><a href="https://github.com/tavily-ai/tavily-python">tavily-python</a></b> ⭐ 981    
   The Tavily Python wrapper allows for easy interaction with the Tavily API, offering the full range of our search and extract functionalities directly from your Python programs.  
   🔗 [pypi.org/project/tavily-python](https://pypi.org/project/tavily-python/)  

137. <a href="https://github.com/tox-dev/filelock">tox-dev/</a><b><a href="https://github.com/tox-dev/filelock">filelock</a></b> ⭐ 926    
   A platform independent file lock in Python, which provides a simple way of inter-process communication  
   🔗 [py-filelock.readthedocs.io](https://py-filelock.readthedocs.io)  

138. <a href="https://github.com/secretiveshell/mcp-bridge">secretiveshell/</a><b><a href="https://github.com/secretiveshell/mcp-bridge">MCP-Bridge</a></b> ⭐ 895    
   A middleware to provide an openAI compatible endpoint that can call MCP tools  

139. <a href="https://github.com/google/pyglove">google/</a><b><a href="https://github.com/google/pyglove">pyglove</a></b> ⭐ 708    
   Manipulating Python Programs  

140. <a href="https://github.com/neuml/annotateai">neuml/</a><b><a href="https://github.com/neuml/annotateai">annotateai</a></b> ⭐ 400    
   Automatically annotates papers using Large Language Models (LLMs)  

## Vizualisation

Vizualisation tools and libraries. Application frameworks, 2D/3D plotting, dashboards, WebGL.  

1. <a href="https://github.com/apache/superset">apache/</a><b><a href="https://github.com/apache/superset">superset</a></b> ⭐ 70,248    
   Apache Superset is a Data Visualization and Data Exploration Platform  
   🔗 [superset.apache.org](https://superset.apache.org/)  

2. <a href="https://github.com/streamlit/streamlit">streamlit/</a><b><a href="https://github.com/streamlit/streamlit">streamlit</a></b> ⭐ 43,180    
   Streamlit — A faster way to build and share data apps.  
   🔗 [streamlit.io](https://streamlit.io)  

3. <a href="https://github.com/gradio-app/gradio">gradio-app/</a><b><a href="https://github.com/gradio-app/gradio">gradio</a></b> ⭐ 41,415    
   Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!  
   🔗 [www.gradio.app](http://www.gradio.app)  

4. <a href="https://github.com/danny-avila/librechat">danny-avila/</a><b><a href="https://github.com/danny-avila/librechat">LibreChat</a></b> ⭐ 33,310    
   LibreChat is a free, open source AI chat platform. This Web UI offers vast customization, supporting numerous AI providers, services, and integrations.  
   🔗 [librechat.ai](https://librechat.ai/)  

5. <a href="https://github.com/plotly/dash">plotly/</a><b><a href="https://github.com/plotly/dash">dash</a></b> ⭐ 24,412    
   Data Apps & Dashboards for Python. No JavaScript Required.  
   🔗 [plotly.com/dash](https://plotly.com/dash)  

6. <a href="https://github.com/matplotlib/matplotlib">matplotlib/</a><b><a href="https://github.com/matplotlib/matplotlib">matplotlib</a></b> ⭐ 22,262    
   matplotlib: plotting with Python  
   🔗 [matplotlib.org/stable](https://matplotlib.org/stable/)  

7. <a href="https://github.com/bokeh/bokeh">bokeh/</a><b><a href="https://github.com/bokeh/bokeh">bokeh</a></b> ⭐ 20,307    
   Interactive Data Visualization in the browser, from  Python  
   🔗 [bokeh.org](https://bokeh.org)  

8. <a href="https://github.com/plotly/plotly.py">plotly/</a><b><a href="https://github.com/plotly/plotly.py">plotly.py</a></b> ⭐ 18,208    
   The interactive graphing library for Python ✨  
   🔗 [plotly.com/python](https://plotly.com/python/)  

9. <a href="https://github.com/microsoft/data-formulator">microsoft/</a><b><a href="https://github.com/microsoft/data-formulator">data-formulator</a></b> ⭐ 14,772    
   Transform data and create rich visualizations iteratively with AI  
   🔗 [arxiv.org/abs/2408.16119](https://arxiv.org/abs/2408.16119)  

10. <a href="https://github.com/visgl/deck.gl">visgl/</a><b><a href="https://github.com/visgl/deck.gl">deck.gl</a></b> ⭐ 13,775    
   WebGL2 powered visualization framework  
   🔗 [deck.gl](https://deck.gl)  

11. <a href="https://github.com/mwaskom/seaborn">mwaskom/</a><b><a href="https://github.com/mwaskom/seaborn">seaborn</a></b> ⭐ 13,696    
   Statistical data visualization in Python  
   🔗 [seaborn.pydata.org](https://seaborn.pydata.org)  

12. <a href="https://github.com/nvidia/tensorrt-llm">nvidia/</a><b><a href="https://github.com/nvidia/tensorrt-llm">TensorRT-LLM</a></b> ⭐ 12,718    
   TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performa...  
   🔗 [nvidia.github.io/tensorrt-llm](https://nvidia.github.io/TensorRT-LLM)  

13. <a href="https://github.com/marceloprates/prettymaps">marceloprates/</a><b><a href="https://github.com/marceloprates/prettymaps">prettymaps</a></b> ⭐ 12,109    
   Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely  
   🔗 [prettymaps.streamlit.app](https://prettymaps.streamlit.app/)  

14. <a href="https://github.com/altair-viz/altair">altair-viz/</a><b><a href="https://github.com/altair-viz/altair">altair</a></b> ⭐ 10,222    
   Declarative visualization library for Python  
   🔗 [altair-viz.github.io](https://altair-viz.github.io/)  

15. <a href="https://github.com/renpy/renpy">renpy/</a><b><a href="https://github.com/renpy/renpy">renpy</a></b> ⭐ 6,169    
   The Ren'Py Visual Novel Engine  
   🔗 [www.renpy.org](http://www.renpy.org/)  

16. <a href="https://github.com/holoviz/panel">holoviz/</a><b><a href="https://github.com/holoviz/panel">panel</a></b> ⭐ 5,577    
   Panel: The powerful data exploration & web app framework for Python  
   🔗 [panel.holoviz.org](https://panel.holoviz.org)  

17. <a href="https://github.com/lux-org/lux">lux-org/</a><b><a href="https://github.com/lux-org/lux">lux</a></b> ⭐ 5,369    
   Automatically visualize your pandas dataframe via a single print! 📊 💡  

18. <a href="https://github.com/man-group/dtale">man-group/</a><b><a href="https://github.com/man-group/dtale">dtale</a></b> ⭐ 5,045    
   Visualizer for pandas data structures  
   🔗 [alphatechadmin.pythonanywhere.com](http://alphatechadmin.pythonanywhere.com)  

19. <a href="https://github.com/has2k1/plotnine">has2k1/</a><b><a href="https://github.com/has2k1/plotnine">plotnine</a></b> ⭐ 4,490    
   A Grammar of Graphics for Python  
   🔗 [plotnine.org](https://plotnine.org)  

20. <a href="https://github.com/pyqtgraph/pyqtgraph">pyqtgraph/</a><b><a href="https://github.com/pyqtgraph/pyqtgraph">pyqtgraph</a></b> ⭐ 4,282    
   Fast data visualization and GUI tools for scientific / engineering applications  
   🔗 [www.pyqtgraph.org](https://www.pyqtgraph.org)  

21. <a href="https://github.com/residentmario/missingno">residentmario/</a><b><a href="https://github.com/residentmario/missingno">missingno</a></b> ⭐ 4,183    
   missingno provides a small toolset of flexible and easy-to-use missing data visualizations and utilities that allows you to get a quick visual summary of the completeness (or lack thereof) of your dataset.  

22. <a href="https://github.com/mckinsey/vizro">mckinsey/</a><b><a href="https://github.com/mckinsey/vizro">vizro</a></b> ⭐ 3,561    
   Vizro is a low-code toolkit for building high-quality data visualization apps.  
   🔗 [vizro.readthedocs.io/en/stable](https://vizro.readthedocs.io/en/stable/)  

23. <a href="https://github.com/pyvista/pyvista">pyvista/</a><b><a href="https://github.com/pyvista/pyvista">pyvista</a></b> ⭐ 3,483    
   3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)  
   🔗 [docs.pyvista.org](https://docs.pyvista.org)  

24. <a href="https://github.com/ml-tooling/opyrator">ml-tooling/</a><b><a href="https://github.com/ml-tooling/opyrator">opyrator</a></b> ⭐ 3,135    
   🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.  
   🔗 [opyrator-playground.mltooling.org](https://opyrator-playground.mltooling.org)  

25. <a href="https://github.com/netflix/flamescope">netflix/</a><b><a href="https://github.com/netflix/flamescope">flamescope</a></b> ⭐ 3,097    
   FlameScope is a visualization tool for exploring different time ranges as Flame Graphs.  

26. <a href="https://github.com/facebookresearch/hiplot">facebookresearch/</a><b><a href="https://github.com/facebookresearch/hiplot">hiplot</a></b> ⭐ 2,800    
   HiPlot makes understanding high dimensional data easy  
   🔗 [facebookresearch.github.io/hiplot](https://facebookresearch.github.io/hiplot/)  

27. <a href="https://github.com/napari/napari">napari/</a><b><a href="https://github.com/napari/napari">napari</a></b> ⭐ 2,584    
   A fast, interactive, multi-dimensional image viewer for Python. It's designed for browsing, annotating, and analyzing large multi-dimensional images.  
   🔗 [napari.org](https://napari.org)  

28. <a href="https://github.com/holoviz/holoviz">holoviz/</a><b><a href="https://github.com/holoviz/holoviz">holoviz</a></b> ⭐ 906    
   High-level tools to simplify visualization in Python.  
   🔗 [holoviz.org](https://holoviz.org/)  

29. <a href="https://github.com/hazyresearch/meerkat">hazyresearch/</a><b><a href="https://github.com/hazyresearch/meerkat">meerkat</a></b> ⭐ 852    
   Explore and understand your training and validation data.  

30. <a href="https://github.com/anvaka/word2vec-graph">anvaka/</a><b><a href="https://github.com/anvaka/word2vec-graph">word2vec-graph</a></b> ⭐ 711    
   Exploring word2vec embeddings as a graph of nearest neighbors  
   🔗 [anvaka.github.io/pm/#/galaxy/word2vec-wiki?cx=-4651&cy=4492&cz=-1988&lx=-0.0915&ly=-0.9746&lz=-0.2030&lw=0.0237&ml=300&s=1.75&l=1&v=d50_clean_small](https://anvaka.github.io/pm/#/galaxy/word2vec-wiki?cx=-4651&cy=4492&cz=-1988&lx=-0.0915&ly=-0.9746&lz=-0.2030&lw=0.0237&ml=300&s=1.75&l=1&v=d50_clean_small)  

## Web

Web related frameworks and libraries: webapp servers, WSGI, ASGI, asyncio, HTTP, REST, user management.  

1. <a href="https://github.com/tiangolo/fastapi">tiangolo/</a><b><a href="https://github.com/tiangolo/fastapi">fastapi</a></b> ⭐ 94,400    
   FastAPI framework, high performance, easy to learn, fast to code, ready for production  
   🔗 [fastapi.tiangolo.com](https://fastapi.tiangolo.com/)  

2. <a href="https://github.com/django/django">django/</a><b><a href="https://github.com/django/django">django</a></b> ⭐ 86,553    
   The Web framework for perfectionists with deadlines.  
   🔗 [www.djangoproject.com](https://www.djangoproject.com/)  

3. <a href="https://github.com/sherlock-project/sherlock">sherlock-project/</a><b><a href="https://github.com/sherlock-project/sherlock">sherlock</a></b> ⭐ 72,113    
   Hunt down social media accounts by username across social networks  
   🔗 [sherlockproject.xyz](https://sherlockproject.xyz)  

4. <a href="https://github.com/pallets/flask">pallets/</a><b><a href="https://github.com/pallets/flask">flask</a></b> ⭐ 71,080    
   The Python micro framework for building web applications.  
   🔗 [flask.palletsprojects.com](https://flask.palletsprojects.com)  

5. <a href="https://github.com/psf/requests">psf/</a><b><a href="https://github.com/psf/requests">requests</a></b> ⭐ 53,675    
   A simple, yet elegant, HTTP library.  
   🔗 [requests.readthedocs.io/en/latest](https://requests.readthedocs.io/en/latest/)  

6. <a href="https://github.com/reflex-dev/reflex">reflex-dev/</a><b><a href="https://github.com/reflex-dev/reflex">reflex</a></b> ⭐ 28,008    
   🕸️ Web apps in pure Python 🐍  
   🔗 [reflex.dev](https://reflex.dev)  

7. <a href="https://github.com/tornadoweb/tornado">tornadoweb/</a><b><a href="https://github.com/tornadoweb/tornado">tornado</a></b> ⭐ 22,432    
   Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.  
   🔗 [www.tornadoweb.org](http://www.tornadoweb.org/)  

8. <a href="https://github.com/vincigit00/scrapegraph-ai">vincigit00/</a><b><a href="https://github.com/vincigit00/scrapegraph-ai">Scrapegraph-ai</a></b> ⭐ 22,365    
   ScrapeGraphAI is a web scraping python library that uses LLM and direct graph logic to create scraping pipelines for websites and local documents  
   🔗 [scrapegraphai.com](https://scrapegraphai.com)  

9. <a href="https://github.com/wagtail/wagtail">wagtail/</a><b><a href="https://github.com/wagtail/wagtail">wagtail</a></b> ⭐ 20,076    
   A Django content management system focused on flexibility and user experience  
   🔗 [wagtail.org](https://wagtail.org)  

10. <a href="https://github.com/pyscript/pyscript">pyscript/</a><b><a href="https://github.com/pyscript/pyscript">pyscript</a></b> ⭐ 18,691    
   A framework that allows users to create rich Python applications in the browser using HTML's interface and the power of Pyodide, WASM, and modern web technologies.  
   🔗 [pyscript.net](https://pyscript.net/)  

11. <a href="https://github.com/huge-success/sanic">huge-success/</a><b><a href="https://github.com/huge-success/sanic">sanic</a></b> ⭐ 18,630    
    Accelerate your web app development  | Build fast. Run fast.  
   🔗 [sanic.dev](https://sanic.dev)  

12. <a href="https://github.com/aio-libs/aiohttp">aio-libs/</a><b><a href="https://github.com/aio-libs/aiohttp">aiohttp</a></b> ⭐ 16,222    
   Asynchronous HTTP client/server framework for asyncio and Python  
   🔗 [docs.aiohttp.org](https://docs.aiohttp.org)  

13. <a href="https://github.com/flet-dev/flet">flet-dev/</a><b><a href="https://github.com/flet-dev/flet">flet</a></b> ⭐ 15,387    
   Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required.  
   🔗 [flet.dev](https://flet.dev)  

14. <a href="https://github.com/zauberzeug/nicegui">zauberzeug/</a><b><a href="https://github.com/zauberzeug/nicegui">nicegui</a></b> ⭐ 15,172    
   Create web-based user interfaces with Python. The nice way.  
   🔗 [nicegui.io](https://nicegui.io)  

15. <a href="https://github.com/encode/httpx">encode/</a><b><a href="https://github.com/encode/httpx">httpx</a></b> ⭐ 14,932    
   A next generation HTTP client for Python. 🦋  
   🔗 [www.python-httpx.org](https://www.python-httpx.org/)  

16. <a href="https://github.com/getpelican/pelican">getpelican/</a><b><a href="https://github.com/getpelican/pelican">pelican</a></b> ⭐ 13,195    
   Static site generator that supports Markdown and reST syntax. Powered by Python.  
   🔗 [getpelican.com](https://getpelican.com)  

17. <a href="https://github.com/encode/starlette">encode/</a><b><a href="https://github.com/encode/starlette">starlette</a></b> ⭐ 11,863    
   The little ASGI framework that shines. 🌟  
   🔗 [starlette.dev](https://starlette.dev)  

18. <a href="https://github.com/aws/chalice">aws/</a><b><a href="https://github.com/aws/chalice">chalice</a></b> ⭐ 11,053    
   Python Serverless Microframework for AWS  

19. <a href="https://github.com/benoitc/gunicorn">benoitc/</a><b><a href="https://github.com/benoitc/gunicorn">gunicorn</a></b> ⭐ 10,404    
   gunicorn 'Green Unicorn' is a WSGI HTTP Server for UNIX, fast clients and sleepy applications.  
   🔗 [www.gunicorn.org](http://www.gunicorn.org)  

20. <a href="https://github.com/encode/uvicorn">encode/</a><b><a href="https://github.com/encode/uvicorn">uvicorn</a></b> ⭐ 10,325    
   An ASGI web server, for Python. 🦄  
   🔗 [uvicorn.dev](https://uvicorn.dev)  

21. <a href="https://github.com/falconry/falcon">falconry/</a><b><a href="https://github.com/falconry/falcon">falcon</a></b> ⭐ 9,780    
   The no-magic web API and microservices framework for Python developers, with a focus on reliability and performance at scale.  
   🔗 [falcon.readthedocs.io](https://falcon.readthedocs.io)  

22. <a href="https://github.com/vitalik/django-ninja">vitalik/</a><b><a href="https://github.com/vitalik/django-ninja">django-ninja</a></b> ⭐ 8,856    
   💨  Fast, Async-ready, Openapi, type hints based framework for building APIs  
   🔗 [django-ninja.dev](https://django-ninja.dev)  

23. <a href="https://github.com/bottlepy/bottle">bottlepy/</a><b><a href="https://github.com/bottlepy/bottle">bottle</a></b> ⭐ 8,734    
   bottle.py is a fast and simple micro-framework for python web-applications.  
   🔗 [bottlepy.org](http://bottlepy.org/)  

24. <a href="https://github.com/graphql-python/graphene">graphql-python/</a><b><a href="https://github.com/graphql-python/graphene">graphene</a></b> ⭐ 8,244    
   GraphQL framework for Python  
   🔗 [graphene-python.org](http://graphene-python.org/)  

25. <a href="https://github.com/reactive-python/reactpy">reactive-python/</a><b><a href="https://github.com/reactive-python/reactpy">reactpy</a></b> ⭐ 8,154    
   ReactPy is a library for building user interfaces in Python without Javascript  
   🔗 [reactpy.dev](https://reactpy.dev)  

26. <a href="https://github.com/starlite-api/starlite">starlite-api/</a><b><a href="https://github.com/starlite-api/starlite">litestar</a></b> ⭐ 7,934    
   Light, flexible and extensible ASGI framework | Built to scale  
   🔗 [docs.litestar.dev](https://docs.litestar.dev/)  

27. <a href="https://github.com/pallets/werkzeug">pallets/</a><b><a href="https://github.com/pallets/werkzeug">werkzeug</a></b> ⭐ 6,830    
   The comprehensive WSGI web application library.  
   🔗 [werkzeug.palletsprojects.com](https://werkzeug.palletsprojects.com)  

28. <a href="https://github.com/pyeve/eve">pyeve/</a><b><a href="https://github.com/pyeve/eve">eve</a></b> ⭐ 6,744    
   REST API framework designed for human beings  
   🔗 [python-eve.org](https://python-eve.org)  

29. <a href="https://github.com/fastapi-users/fastapi-users">fastapi-users/</a><b><a href="https://github.com/fastapi-users/fastapi-users">fastapi-users</a></b> ⭐ 5,948    
   Ready-to-use and customizable users management for FastAPI  
   🔗 [fastapi-users.github.io/fastapi-users](https://fastapi-users.github.io/fastapi-users/)  

30. <a href="https://github.com/webpy/webpy">webpy/</a><b><a href="https://github.com/webpy/webpy">webpy</a></b> ⭐ 5,933    
   web.py is a web framework for python that is as simple as it is powerful.   
   🔗 [webpy.org](http://webpy.org)  

31. <a href="https://github.com/pywebio/pywebio">pywebio/</a><b><a href="https://github.com/pywebio/pywebio">PyWebIO</a></b> ⭐ 4,822    
   Write interactive web app in script way.  
   🔗 [pywebio.readthedocs.io](https://pywebio.readthedocs.io)  

32. <a href="https://github.com/nameko/nameko">nameko/</a><b><a href="https://github.com/nameko/nameko">nameko</a></b> ⭐ 4,765    
   A microservices framework for Python that lets service developers concentrate on application logic and encourages testability.  
   🔗 [www.nameko.io](https://www.nameko.io)  

33. <a href="https://github.com/strawberry-graphql/strawberry">strawberry-graphql/</a><b><a href="https://github.com/strawberry-graphql/strawberry">strawberry</a></b> ⭐ 4,590    
   A GraphQL library for Python that leverages type annotations 🍓  
   🔗 [strawberry.rocks](https://strawberry.rocks)  

34. <a href="https://github.com/freddyaboulton/fastrtc">freddyaboulton/</a><b><a href="https://github.com/freddyaboulton/fastrtc">fastrtc</a></b> ⭐ 4,500    
   Turn any python function into a real-time audio and video stream over WebRTC or WebSockets.  
   🔗 [fastrtc.org](https://fastrtc.org/)  

35. <a href="https://github.com/h2oai/wave">h2oai/</a><b><a href="https://github.com/h2oai/wave">wave</a></b> ⭐ 4,223    
   H2O Wave is a software stack for building beautiful, low-latency, realtime, browser-based applications and dashboards entirely in Python/R without using HTML, Javascript, or CSS.  
   🔗 [wave.h2o.ai](https://wave.h2o.ai)  

36. <a href="https://github.com/fastapi-admin/fastapi-admin">fastapi-admin/</a><b><a href="https://github.com/fastapi-admin/fastapi-admin">fastapi-admin</a></b> ⭐ 3,684    
   A fast admin dashboard based on FastAPI and TortoiseORM with tabler ui, inspired by Django admin  
   🔗 [fastapi-admin-docs.long2ice.io](https://fastapi-admin-docs.long2ice.io)  

37. <a href="https://github.com/pallets/quart">pallets/</a><b><a href="https://github.com/pallets/quart">quart</a></b> ⭐ 3,577    
   An async Python micro framework for building web applications.   
   🔗 [quart.palletsprojects.com](https://quart.palletsprojects.com)  

38. <a href="https://github.com/s3rius/fastapi-template">s3rius/</a><b><a href="https://github.com/s3rius/fastapi-template">FastAPI-template</a></b> ⭐ 2,716    
   Feature rich robust FastAPI template.  

39. <a href="https://github.com/flipkart-incubator/astra">flipkart-incubator/</a><b><a href="https://github.com/flipkart-incubator/astra">Astra</a></b> ⭐ 2,629    
   Automated Security Testing For REST API's  

40. <a href="https://github.com/dot-agent/nextpy">dot-agent/</a><b><a href="https://github.com/dot-agent/nextpy">nextpy</a></b> ⭐ 2,335    
   🤖Self-Modifying Framework from the Future 🔮 World's First AMS  
   🔗 [dotagent.ai](https://dotagent.ai)  

41. <a href="https://github.com/neoteroi/blacksheep">neoteroi/</a><b><a href="https://github.com/neoteroi/blacksheep">BlackSheep</a></b> ⭐ 2,302    
   Fast ASGI web framework for Python  
   🔗 [www.neoteroi.dev/blacksheep](https://www.neoteroi.dev/blacksheep/)  

42. <a href="https://github.com/dmontagu/fastapi-utils">dmontagu/</a><b><a href="https://github.com/dmontagu/fastapi-utils">fastapi-utils</a></b> ⭐ 2,297    
   Reusable utilities for FastAPI: a number of utilities to help reduce boilerplate and reuse common functionality across projects  
   🔗 [fastapiutils.github.io/fastapi-utils](https://fastapiutils.github.io/fastapi-utils/)  

43. <a href="https://github.com/python-restx/flask-restx">python-restx/</a><b><a href="https://github.com/python-restx/flask-restx">flask-restx</a></b> ⭐ 2,240    
   Fork of Flask-RESTPlus: Fully featured framework for fast, easy and documented API development with Flask  
   🔗 [flask-restx.readthedocs.io/en/latest](https://flask-restx.readthedocs.io/en/latest/)  

44. <a href="https://github.com/jordaneremieff/mangum">jordaneremieff/</a><b><a href="https://github.com/jordaneremieff/mangum">mangum</a></b> ⭐ 2,059    
   An adapter for running ASGI applications in AWS Lambda to handle Function URL, API Gateway, ALB, and Lambda@Edge events  
   🔗 [mangum.fastapiexpert.com](http://mangum.fastapiexpert.com/)  

45. <a href="https://github.com/long2ice/fastapi-cache">long2ice/</a><b><a href="https://github.com/long2ice/fastapi-cache">fastapi-cache</a></b> ⭐ 1,812    
   fastapi-cache is a tool to cache fastapi response and function result, with backends support redis and memcached.  
   🔗 [github.com/long2ice/fastapi-cache](https://github.com/long2ice/fastapi-cache)  

46. <a href="https://github.com/rstudio/py-shiny">rstudio/</a><b><a href="https://github.com/rstudio/py-shiny">py-shiny</a></b> ⭐ 1,678    
   Shiny for Python  
   🔗 [shiny.posit.co/py](https://shiny.posit.co/py/)  

47. <a href="https://github.com/awtkns/fastapi-crudrouter">awtkns/</a><b><a href="https://github.com/awtkns/fastapi-crudrouter">fastapi-crudrouter</a></b> ⭐ 1,676    
   A dynamic FastAPI router that automatically creates CRUD routes for your models  
   🔗 [fastapi-crudrouter.awtkns.com](https://fastapi-crudrouter.awtkns.com)  

48. <a href="https://github.com/whitphx/stlite">whitphx/</a><b><a href="https://github.com/whitphx/stlite">stlite</a></b> ⭐ 1,583    
   A port of Streamlit to WebAssembly, powered by Pyodide.  
   🔗 [edit.share.stlite.net](https://edit.share.stlite.net)  

---  

Interactive version: [www.awesomepython.org](https://www.awesomepython.org/), Hugging Face Dataset: [awesome-python](https://huggingface.co/datasets/dylanhogg/awesome-python)  


Please raise <a href="https://github.com/dylanhogg/awesome-python/issues">a new issue</a> to suggest a Python repo that you would like to see added.  


1,553 hand-picked awesome Python libraries and frameworks, updated 11 Feb 2026