markusschanta/awesome-jupyter

This repository is a curated list of projects, libraries, and resources built around Jupyter, an open-source tool that lets you write and run code inside a document alongside explanatory text, charts, and equations. Jupyter notebooks are widely used in data science, research, and education because they let you see the output of code immediately next to the code itself. The list is organized into categories so you can browse by what you need. The runtimes and frontends section covers different ways to run Jupyter, including JupyterHub for running a shared server that multiple people log into, JupyterLab as a more modern interface, and desktop apps that wrap Jupyter in a standalone window. There are also Docker-based setups that come with Jupyter and common data science packages preinstalled. Collaboration and education tools include extensions for grading student notebooks automatically, integration with learning management systems like Open edX, and quiz generators that work inside notebooks. The visualization section lists charting libraries, mapping tools, 3D plotting packages, and widget systems that create interactive controls like sliders and dropdowns directly in a notebook. Other categories cover converting notebooks to other formats like HTML, PDF, or slides, tools for tracking notebook versions with Git, extensions for JupyterLab that add features, testing frameworks for validating that notebooks run without errors, and domain-specific projects for fields like astronomy, bioinformatics, and finance. There are also sections for hosted notebook services (platforms where you can run Jupyter without installing anything) and tutorials. The list follows the Awesome List format, a convention on GitHub for community-maintained indexes of tools in a given area. Contributions are accepted via pull request. It functions as a reference directory rather than a piece of software itself.