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.
Multi-user server for Jupyter notebooks
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
📚 Parameterize, execute, and analyze notebooks
An open source extension that connects AI agents to computational notebooks in JupyterLab.
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
Jupyter magics and kernels for working with remote Spark clusters
Chapyter: ChatGPT Code Interpreter in Jupyter Notebooks
3-D Scientific Visualization in the Jupyter Notebook
A simple extension for Jupyter Notebook and Jupyter Lab to beautify Python code automatically using black.
Pytest in IPython notebooks.
A Cytoscape Jupyter widget
Jupyter Notebooks as plain Python code with embedded Markdown text
A tool that supports one-button reproducible workflows with the Jupyter Notebook and Scons.
The power of Chart.js with Python
High performance, editable, stylable datagrids in jupyter and jupyterlab
Cell-by-cell testing for production Jupyter notebooks in JupyterLab
Jupyter kernel for Coq
Automatically version jupyter notebooks in JupyterLab
Magic to display dynamic call graphs of Python function calls
A jupyterlab extension to email notebooks directly from JupyterLab.
Xonsh Jupyter kernel allows to run Xonsh shell code in Jupyter, JupyterLab, Euporie, etc.