Project Jupyter

Project Jupyter is a non-profit, open-source project that provides a web-based interactive computing platform. It solves the problem of creating and sharing documents that combine live code, equations, narrative text, visualizations, and other rich media, supporting interactive data science and scientific computing across many programming languages.

Its main offerings include JupyterLab, a next-generation notebook interface with a flexible, modular design for configuring workflows, and the classic Jupyter Notebook for a simpler, document-centric experience. JupyterHub enables multi-user deployments with pluggable authentication (PAM, OAuth) and container-friendly scaling via Docker and Kubernetes. Voilà transforms notebooks into stand-alone web applications. The platform supports over 40 programming languages, including Python, R, Julia, and Scala, and integrates with big data tools like Apache Spark. It is built on open standards, including the Notebook Document Format and the Interactive Computing Protocol.

Jupyter is designed for data scientists, researchers, educators, and organizations in fields like scientific computing, computational journalism, and machine learning. It is free, open-source software released under the modified BSD license. The project does not offer a commercial product with paid plans or editions; it is developed openly on GitHub and can be deployed by users on their own infrastructure or through third-party service providers.