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This repository was archived by the owner on Jul 3, 2026. It is now read-only.
- Supports all data visualisation techniques, basic as well as advanced.
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- Generates interactive, customizable and exportable graphs.
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- Allows user to download financial reports.
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- Uses encryption techniques to securely store your passwords.
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- View and manage data via a mobile-friendly website.
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- Provides predictive analytics and trend analysis using ML techniques.
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</details>
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</div>
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---
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### Versions
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| Version | Description |
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|-------------|-----------------|
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| v.XM45.24 `Under Development`| High scale installable vesrion currently being developed, has improved UI based on glassmorphism. Makes the project mobile-friendly and provides more analytical features. Seeks major contributions through SWOC-S5. |
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| v.6550.24 `Latest`| Current stable version that supports most of the data visualisation techniques and finance tracking. Major development done during GSSoC'24. |
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| v.06.02.24 | Initial version developed on 6th February, 2024. Only supports finance tracking. |
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### Repository Structure
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---
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### Deployment Specifications
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I. Navigate to the directory where you want to deploy the dataverse application and open terminal or command prompt there.
III. Create a Virtual Environment (optional but recommended)
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- On Windows:
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```
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python -m venv venv
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venv\Scripts\activate
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```
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- On macOS/Linux:
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```
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python3 -m venv venv
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source venv/bin/activate
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```
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IV. Install dependencies:
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> ```
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> cd Dataverse
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> ```
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> ```
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> pip install -r installation/requirements.txt
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> ```
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### Installation (Windows)
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V. Install MySQL if you don't have it already from [here](https://dev.mysql.com/downloads/installer/).
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A pre-compiled executable is provided for Windows users, eliminating the need to install Python or any dependencies.
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> [!IMPORTANT]
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> Change the values of `DB_HOST`, `DB_USER` and `DB_PASSWORD` in [software/db_config.py](software/db_config.py) file according to your MySQL account.
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1. Go to the [GitHub Releases](https://github.com/multiverseweb/Dataverse/releases) page.
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2. Download the latest `Dataverse.exe`.
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3. Double click the `.exe` file to run the application.
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VI. Run the application:
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> ```
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> python software/main.py
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> ```
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VII. To Run `index.html` (For Website Development)
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1. Install the **Go Live** extension in VS Code.
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2. Open the `index.html` file in VS Code.
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3. Click on the **Go Live** button in the bottom-right corner of VS Code.
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> The default URL will be:
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> `http://localhost:5500/Dataverse/index.html`
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> [!NOTE]
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> If you prefer to run from source, you can clone the repository and run `pip install -r requirements.txt` followed by `python software/main.py`.
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Now, the software should run smoothly with no errors, feel free to use the software and don't forget to give feedback on [Dataverse's website](https://multiverse-dataverse.netlify.app/)!
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[](https://github.com/multiverseweb/Dataverse/stargazers)
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</div>
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### Forkers 🍴
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[](https://github.com/multiverseweb/Dataverse/network/members)
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<sup><ahref="#table-of-contents"align="right">Back to top</a></sup>
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