GitHub + Jupyter Notebooks = <3
Communicating ideas that combine code, data and visualizations can be hard, especially if you’re trying to collaborate in realtime with your colleagues. Whether you’re a researcher studying Wikipedia, an astronomer…
Communicating ideas that combine code, data and visualizations can be hard, especially if you’re trying to collaborate in realtime with your colleagues.
Whether you’re a researcher studying Wikipedia, an astronomer investigating the movements of galaxies in our cosmic neighborhood or a data-scientist at fashion retailer Stitch Fix, producing insights from data and sharing is a common challenge.
Jupyter notebooks solve this problem by making it easy to capture data-driven workflows that combine code, equations, text and visualizations and share them with others. From today Jupyter notebooks render in all their glory right here on GitHub.
With Git Large File Storage and Jupyter notebook support, GitHub has never been a better place to version and collaborate on data-intensive workflows. With more than 200,000 Jupyter notebooks already on GitHub we’re excited to level-up the GitHub-Jupyter experience.
Looking to get started? Simply commit a .ipynb file to a new or existing repository to view the rendered notebook. Alternatively if you’re looking for some inspiration then check out this incredible gallery of Jupyter notebooks.
Written by
Related posts
GitHub Availability Report: May 2025
In May, we experienced three incidents that resulted in degraded performance across GitHub services.
GitHub Universe 2025: Here’s what’s in store at this year’s developer wonderland
Sharpen your skills, test out new tools, and connect with people who build like you.
GitHub Copilot: Meet the new coding agent
Implementing features has never been easier: Just assign a task or issue to Copilot. It runs in the background with GitHub Actions and submits its work as a pull request.