# Kuzu-Lab
[](http://kuzu-lab.netlify.app)
In-broswer Graph Analysis platform power by [kuzu_wasm](https://github.com/DylanShang/kuzu-wasm) and JupyterLite. This project aims to provide an easy-to-use interface for creating, analyzing, and visualizing graph data directly in the browser, with Python as the primary language for interacting with the graphs.
## ✨ Try it in your browser ✨
➡️ **http://kuzu-lab.netlify.app**
## Embedding into Quarto
Kuzu-Lab supports seamless embedding into Quarto documents, enabling interactive graph analysis in a variety of formats, from technical blogs to live code examples. We have developed a [Quarto Jupyter Console version](https://kuzu-lab.netlify.app/repl-example.html) , allowing users to run Python code directly within Quarto documents, bringing the power of graph analysis to an easily embeddable format.
Additionally, by integrating Quarto-live with PyVis, we've created [interactive web page](https://kuzu-lab.netlify.app/quarto-live.html) that allow users to visualize and interact with graphs in real-time. This is particularly well-suited for dynamic content in technical blogs or educational resources, providing an engaging way to showcase graph-related analyses.
## Requirements
JupyterLite is being tested against modern web browsers:
- Firefox 90+
- Chromium 89+
## Acknowledgments
- Kuzu Database System: Special thanks to the developers of the Kuzu database, whose work made this platform possible.
- JupyterLite: For enabling in-browser Jupyter-like experiences.
- Pyodide: For providing a full Python environment that runs in the browser, making Python-based graph analysis feasible in Kuzu-Lab.
## License
This project is licensed under the MIT License.
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"description": "# Kuzu-Lab\n\n[](http://kuzu-lab.netlify.app)\n\nIn-broswer Graph Analysis platform power by [kuzu_wasm](https://github.com/DylanShang/kuzu-wasm) and JupyterLite. This project aims to provide an easy-to-use interface for creating, analyzing, and visualizing graph data directly in the browser, with Python as the primary language for interacting with the graphs.\n\n\n\n## \u2728 Try it in your browser \u2728\n\n\u27a1\ufe0f **http://kuzu-lab.netlify.app**\n\n## Embedding into Quarto\nKuzu-Lab supports seamless embedding into Quarto documents, enabling interactive graph analysis in a variety of formats, from technical blogs to live code examples. We have developed a [Quarto Jupyter Console version](https://kuzu-lab.netlify.app/repl-example.html) , allowing users to run Python code directly within Quarto documents, bringing the power of graph analysis to an easily embeddable format.\n\nAdditionally, by integrating Quarto-live with PyVis, we've created [interactive web page](https://kuzu-lab.netlify.app/quarto-live.html) that allow users to visualize and interact with graphs in real-time. This is particularly well-suited for dynamic content in technical blogs or educational resources, providing an engaging way to showcase graph-related analyses.\n\n## Requirements\n\nJupyterLite is being tested against modern web browsers:\n\n- Firefox 90+\n- Chromium 89+\n\n\n## Acknowledgments\n- Kuzu Database System: Special thanks to the developers of the Kuzu database, whose work made this platform possible.\n- JupyterLite: For enabling in-browser Jupyter-like experiences.\n- Pyodide: For providing a full Python environment that runs in the browser, making Python-based graph analysis feasible in Kuzu-Lab.\n\n## License\nThis project is licensed under the MIT License. \n",
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