GithubStats2Chart

A Python tool that collects GitHub repository traffic data, including clones (and later, views), and saves them in an Excel spreadsheet for tracking and analysis.

✅ Current Features

📊 Retrieves clone statistics for public repositories

📂 Stores data in a CSV file

🔄 Automatically updates stats

📈 Improving data organization

📊 Potentially adding charts for visualization

🚀 Planned Enhancements

• Adding view count tracking
• Improving data organization
• Storing data in an Excel sheet for easy access

This tool is ideal for developers who want to monitor their repository traffic efficiently. Contributions and feedback are welcome! 😊

Requirements

• Python 3.8+
• PyQt6
• pandas
• numpy
• python-dotenv
• PyGithub

Installation

1. Clone the repository:

   git clone https://github.com/BahramF73/GithubStats2Chart.git
   cd GithubStats2Chart

2. Install the required packages:

   pip install -r requirements.txt

3. Create a .env file in the root directory and add your GitHub token:

   GITHUB_TOKEN=your_github_token

Usage

1. Run the application:

   python main.py

2. Use the GUI to start and stop data retrieval. The data will be displayed in a table and saved to the specified output file.

Project Structure

• main.py: Entry point of the application. Contains the GUI implementation.
• data_processor/convert_data.py: Contains the ConvertData class for saving data in different formats.
• data_processor/data_handler.py: Contains the HandleData class for retrieving and processing data from GitHub.
• data_processor/__init__.py: Initializes the data_processor package.

Contributing

Contributions are welcome! Please open an issue or submit a pull request for any improvements or bug fixes.

License

This project is licensed under the MIT License. See the LICENSE file for details.