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A core library for the Lion framework

Project description

Lion-Core

Lion-Core is a lightweight yet powerful Python library designed to serve as a foundational framework for machine learning, artificial intelligence, workflow automation, scientific computing, and advanced data management. With a focus on simplicity and extensibility, Lion-Core aims to provide a robust toolkit for complex computational tasks while maintaining a minimal dependency footprint.

Note: Lion-Core is currently in alpha testing. Expect frequent updates and potential API changes.

🌟 Highlights

  • Minimal Dependencies: Built with only Pydantic as a dependency, ensuring a lightweight and easily maintainable codebase.
  • Extensible Architecture: Designed from the ground up to be modular and adaptable to a wide range of computational needs.
  • Performance-Focused: Optimized data structures and algorithms for efficient large-scale data processing.

🚀 Current Features

  • Advanced Data Structures:

    • Pile: A flexible container that combines the best of lists and dictionaries, offering efficient access and powerful querying capabilities.
    • Progression: An ordered sequence container designed for high-performance operations on large datasets.
  • Robust Type System: Leveraging Pydantic for data validation, ensuring type safety and data integrity across your entire project.

  • Converter System: A flexible framework for seamless data conversion between various formats.

  • Element-based Architecture: A foundational Element class that serves as the building block for creating modular and composable components.

  • Communication Framework: A groundwork for inter-component messaging, facilitating the development of distributed and microservices-based applications.

  • Form and Validator System: Dynamic workflow manipulation tools that allow for flexible and adaptable process designs.

  • Worker System: Powerful workflow composition capabilities, enabling the creation of complex, multi-stage computational pipelines.

🛣️ Roadmap

We're currently working towards version 0.1.0, focusing on:

  • Polishing core abstractions and data structures
  • Enhancing the converter system for broader compatibility
  • Refining workflow automation processes
  • Expanding scientific computing utilities

📦 Installation

As Lion-Core is in alpha testing, it's not yet available on PyPI. You can install the development version directly from the repository:

pip install git+https://github.com/lion-agi/lion-core.git

🛠️ Development Environment Setup

To set up the development environment for Lion-Core:

  1. Clone the repository:

    git clone https://github.com/lion-agi/lion-core.git
    cd lion-core
    
  2. Create and activate a virtual environment:

    python -m venv venv
    source venv/bin/activate  # On Windows use `venv\Scripts\activate`
    
  3. Install dependencies:

    pip install -e .[dev]
    
  4. Run tests:

    pytest --maxfail=1 --disable-warnings tests/
    
  5. Check code style and run linters:

    black --check .
    isort --check-only .
    flake8 .
    

📚 Documentation

Comprehensive documentation is under development. For now, please refer to the inline documentation and comments in the source code.

🤝 Contributing

We welcome contributions! As the project is in its early stages, please open an issue to discuss potential changes before submitting pull requests.

📄 License

Lion-Core is released under the Apache License 2.0. See the LICENSE file for details.

📬 Contact

For questions, support, or to discuss potential collaborations, please open an issue on our GitHub repository.

Join our Discord community for discussions, support, and updates: Lion-Core Discord Server


Note: Lion-Core is an extraction and refinement of core components from the larger lionagi project. After reaching version 0.1.0, development will continue on Lion-Core while also informing a rewrite of the lionagi library.

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