JupyterLab is the next-generation interactive development environment of the Jupyter project, free and open source. It is the reference web interface for computational notebooks : documents that combine executable code, equations, visualizations, and narrative text, at the heart of modern data science, scientific research, and teaching.

Its modular interface brings together notebooks, code editors, terminals, file browsers, and visualizations in a single workspace, arranged side by side. JupyterLab supports dozens of kernels (Python, R, Julia, Scala…) and the entire Python scientific ecosystem — pandas, NumPy, Matplotlib, scikit-learn — extensible to the fullest via a rich extension system.

For team collaboration, JupyterHub provides a multi-user deployment where each user has their own isolated environment, with SSO/OIDC authentication. Self-hosted by DINAO, optionally accelerated by GPU for machine learning, JupyterLab becomes a sovereign data lab where your sensitive datasets never leave French territory.