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Jobify is a modern, lightweight, and robust task scheduler built natively on top of asyncio. It offers a clean decorator-based API (similar to FastAPI), sub-millisecond precision with zero idle CPU usage, persistent SQLite storage, middlewares, exception handlers, and powerful job control — all while remaining simple and ergonomic.
How It Differs
If similar entries exist, what makes this one unique?
Unlike apscheduler and schedule, Jobify is designed from the ground up as asyncio-native. It uses native asyncio timers instead of polling, offers better async performance, FastAPI-style routing and dependency injection, built-in persistence, lifespan events, and flexible concurrency support (asyncio / ThreadPool / ProcessPool).
@theseriff Thanks for your submission. However, this project does not meet our acceptance criteria:
GitHub stars: 43 star (minimum 100 required, or strong justification for Hidden Gem).
Please see our CONTRIBUTING.md for full requirements. You're welcome to resubmit once the project has matured and gained community traction.
Thank you for the explanation!
I understand your point - I will come back and re-submit once the project has gained more momentum and meets the requirements.
Thank you for your time and consideration.
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Project
Jobify
Checklist
Add project-name- [project-name](url) - Description ending with period.Why This Project Is Awesome
Hidden Gem - Exceptional quality, solves niche problems elegantly
Jobify is a modern, lightweight, and robust task scheduler built natively on top of asyncio. It offers a clean decorator-based API (similar to FastAPI), sub-millisecond precision with zero idle CPU usage, persistent SQLite storage, middlewares, exception handlers, and powerful job control — all while remaining simple and ergonomic.
How It Differs
Unlike apscheduler and schedule, Jobify is designed from the ground up as asyncio-native. It uses native asyncio timers instead of polling, offers better async performance, FastAPI-style routing and dependency injection, built-in persistence, lifespan events, and flexible concurrency support (asyncio / ThreadPool / ProcessPool).