PyGuard is an all-in-one reference repository and documentation guide for maintaining high-quality Python projects. It provides a comprehensive suite of guidelines and configuration files for setting up hooks, writing and running tests, generating and maintaining documentation, and profiling your code for performance optimization. PyGuard is designed to streamline the development process, ensuring your codebase remains clean, efficient, and well-documented.
- 🔐 Hooks: Detailed instructions and configuration files for setting up pre-commit hooks to enforce code standards and catch issues early in the development cycle.
- 🧪 Testing: Guidelines and configuration files for integrating robust testing frameworks to write and execute unit tests, integration tests, and end-to-end tests.
- 📚 Documentation: Best practices and configuration files for generating and maintaining clear, comprehensive documentation for your project.
- ⚡ Profiling: Techniques and configuration files for profiling your code to identify performance bottlenecks and optimize your application's performance.
- 📝 Guidelines: Established guidelines and best practices for Python project development to ensure consistency and quality, including how to use the provided configuration files.
- 🔄 Consistency: Enforce coding standards and practices across your team with configurable hooks and guidelines.
- ✅ Quality: Maintain a high-quality codebase with automated testing, profiling, and detailed guidelines.
- 🔍 Clarity: Ensure your project is well-documented and easy to understand for both current and future contributors.
- ⚙️ Efficiency: Identify and address performance issues with built-in profiling tools and guidelines.
- 🌐 Comprehensive: A single toolset that covers all aspects of Python project maintenance, from development to deployment, with ready-to-use configuration files.