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A Notebook Product Solution with Flexible Customization and Easy Integration
- Provides comprehensive Notebook functionality with a rich set of auxiliary tools, allowing for quick adoption based on existing setups.
- Supports kernel-level extensibility, enabling customization and further development at all layers.
- Defines workflows for large models, with built-in capabilities for model interaction and AI-powered assistance.
🌟🌟🌟 If you like this project, feel free to give us a star! 🌟🌟🌟
pip install libroNote
The Python version used is 3.10-3.12. Higher versions of Python may encounter issues with unsupported dependencies.
For more details, please refer to quick start。
- Error Fixing
- Chat
- Contextual Chat in Cells
- General AI Chat
- Code Explanation
- Code Optimization
- Enhances the ability to interact directly with large models, supporting text conversations, multimodal expressions, and more.
- Improves interaction capabilities for common output types, such as providing options to copy or run code when outputting it.
- Built-in OpenAI models are available, and you can also extend models in the following ways:
- Define variables for LLMs, agents, and other dialogue objects based on Langchain, which can be directly used in Prompt Cells.
- Extend your own models based on libro-ai.
For more details, please refer to prompt cell manual。
- Supports interaction capabilities for executing SQL commands.
- Connect to SQL databases to write SQL code directly in the notebook.
For more details, please refer to sql cell manual。
- AI Capability Integration
- Support for Prompt Notebook
- Execution of libro in the Browser
😊 We recommend submitting your questions through github issue, and we typically respond within two days.
🤝 Please refer to CONTRIBUTING.md
💪 Thanks to all contributors
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