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|[@datalayer/jupyter-react](./packages/react)|[](https://www.npmjs.com/package/@datalayer/jupyter-react)|Core React components for Jupyter integration|
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|[@datalayer/jupyter-lexical](./packages/lexical)|[](https://www.npmjs.com/package/@datalayer/jupyter-lexical)| Rich text editor with Lexical framework |
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|[@datalayer/jupyter-docusaurus-plugin](./packages/docusaurus-plugin)|[](https://www.npmjs.com/package/@datalayer/jupyter-docusaurus-plugin)| Docusaurus plugin for Jupyter notebooks |
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|[datalayer-jupyter-vscode](./packages/vscode)|[](https://marketplace.visualstudio.com/items?itemName=datalayer.datalayer-jupyter-vscode)| VS Code extension |
|[@datalayer/jupyter-react](./packages/react)|[](https://www.npmjs.com/package/@datalayer/jupyter-react)|Generic React components for Jupyter |
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|[@datalayer/jupyter-lexical](./packages/lexical)|[](https://www.npmjs.com/package/@datalayer/jupyter-lexical)| Rich text editor with Lexical framework |
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|[@datalayer/jupyter-docusaurus-plugin](./packages/docusaurus-plugin)|[](https://www.npmjs.com/package/@datalayer/jupyter-docusaurus-plugin)| Docusaurus plugin for Jupyter notebooks |
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|[datalayer-jupyter-vscode](./packages/vscode)|[](https://marketplace.visualstudio.com/items?itemName=datalayer.datalayer-jupyter-vscode)| VS Code extension |
As a developer start with the [setup of your environment](https://jupyter-ui.datalayer.tech/docs/develop/setup) and try [one of the examples](https://jupyter-ui.datalayer.tech/docs/category/examples). We have [documentation](https://jupyter-ui.datalayer.tech) for more details.
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### Advanced Features
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-**🔌 IPyWidgets Support** - Full support for interactive widgets
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-**👥 Collaborative Editing** - Real-time collaboration using Y.js
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-**👥 Collaborative Editing** - Pluggable provider system supporting:
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- Jupyter collaboration (WebSocket-based with Y.js)
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- Custom providers via `ICollaborationProvider` interface
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-**🎨 Theming** - JupyterLab theme support with dark/light modes
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-**🔧 Extensible** - Plugin system for custom functionality
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-**🚀 Performance** - Virtual scrolling, lazy loading, and optimizations
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Jupyter UI is an open-source React.js component library that bridges the gap between the Jupyter ecosystem and modern web development frameworks. It provides React components that are 100% compatible with Jupyter, allowing developers to build custom data products without being constrained by the traditional JupyterLab interface.
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## Recent Updates (January 2025)
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### Collaboration Provider System
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- Implemented plugin-based architecture for extensible collaboration
- Added collaboration support to `Notebook2` component
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### Core Problem Solved
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Traditional JupyterLab uses the Lumino widget toolkit, an imperative UI framework that isn't compatible with modern declarative frameworks like React. This forces developers to either:
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```
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jupyter-ui/
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├── packages/ # Core library packages
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│ ├── react/ # Main React component library
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│ ├── react/ # Main React component library (generic)
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│ ├── lexical/ # Rich text editor integration
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│ ├── docusaurus-plugin/ # Docusaurus integration
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│ └── vscode/ # VS Code extension
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- Provides React context providers for state management
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- Supports both local and remote Jupyter servers
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- Implements WebSocket communication for real-time updates
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