A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
- notebooks
- python
- data-science
- machine-learning
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A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
Ready-to-run Docker images containing Jupyter applications
Multi-user server for Jupyter notebooks
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
📚 Parameterize, execute, and analyze notebooks
Voilà turns Jupyter notebooks into standalone web applications
An open source extension that connects AI agents to computational notebooks in JupyterLab.
Impress your boss and turn a Jupyter notebook into a beautiful, shareable web app — no callbacks, no frontend, no rewrite.
An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks
Elyra extends JupyterLab with an AI centric approach.
A system for assigning and grading notebooks
Run ruff, isort, pyupgrade, mypy, pylint, flake8, and more on Jupyter Notebooks
Chapyter: ChatGPT Code Interpreter in Jupyter Notebooks
Pytest in IPython notebooks.
Jupyter Notebooks as plain Python code with embedded Markdown text
Cell-by-cell testing for production Jupyter notebooks in JupyterLab
Automatically version jupyter notebooks in JupyterLab
A jupyterlab extension to email notebooks directly from JupyterLab.
Xonsh Jupyter kernel allows to run Xonsh shell code in Jupyter, JupyterLab, Euporie, etc.
MicroPython integrated into Jupyter notebooks
A pygame API-compatible reimplementation for running `pygame`-style code inside Jupyter notebooks (backed by ipycanvas)
Modern, interactive charts for Jupyter notebooks with Apache ECharts