Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
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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
Impress your boss and turn a Jupyter notebook into a beautiful, shareable web app — no callbacks, no frontend, no rewrite.
Elyra extends JupyterLab with an AI centric approach.
Run ruff, isort, pyupgrade, mypy, pylint, flake8, and more on Jupyter Notebooks
Google maps for Jupyter notebooks
A py.test plugin to validate Jupyter notebooks
Pytest in IPython notebooks.
A pygame API-compatible reimplementation for running `pygame`-style code inside Jupyter notebooks (backed by ipycanvas)
Neovim implementation of Urtext, a markup language for Python scriptable-notebooks in a text editor.