Project Jupyter

Project Jupyter is a non-profit, open source project and community that develops free software, open standards, and web services for interactive computing across all programming languages. The project is best known for Jupyter Notebook, the classic web-based interactive computational environment where users can create and share documents containing live code, equations, visualizations, and narrative text. JupyterLab is the next-generation web-based user interface offering a flexible and powerful IDE-like experience with tabs, split views, file browsers, and extension support. JupyterHub serves multi-user environments, enabling organizations to provide managed Jupyter instances for teams, classrooms, and research groups. The platform supports over 40 programming languages through kernel architecture, with Python, R, Julia, and Scala being the most popular. Notebooks can be shared via email, Dropbox, GitHub, and the nbviewer web service, enabling reproducible research and collaborative data science. Interactive outputs include HTML, images, videos, LaTeX, and custom MIME types. Jupyter integrates seamlessly with big data tools including Apache Spark, pandas, scikit-learn, ggplot2, and TensorFlow, and is Docker and Kubernetes friendly for cloud deployments. Used by millions of scientists, researchers, data analysts, and educators worldwide, Jupyter has become the de facto standard for interactive data science, scientific computing, and computational notebooks in both academia and industry.