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The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
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Project Jupyter provides free software, open standards, and services for interactive computing across dozens of programming languages.
Project Jupyter is a non-profit, open-source project born out of the IPython project in 2014 by Fernando Pérez and others. It evolved to support interactive data science and scientific computing beyond Python, promoting open standards for reproducible computational documents.
It solves key problems in computing like the lack of integrated environments for live code execution, visualizations, equations, and narrative text. Traditional scripts are hard to share reproducibly; Jupyter notebooks make computations interactive, executable, and shareable, integrating tools like big data frameworks (Spark) and ML libraries (TensorFlow, scikit-learn).
Built for data scientists, researchers, educators, students, journalists, and teams in companies/research labs who need flexible workflows for exploratory analysis, teaching, and collaboration.
The project was created to advance interactive computing universally, fostering a diverse community through open governance and development on GitHub.
This project is useful for:
Last updated: 2026-03-24
Yes / Open Source (modified BSD license) (Entirely free, community-driven, donations via LF Charities.)
Yes — link to repository https://github.com/jupyter (134+ repos: notebook, lab, hub, etc.)
Join open development on GitHub: fork repos, file issues/PRs, follow Jupyter Code of Conduct. Participate in Steering Councils, working groups; see governance docs.
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