Awesome Jupyter is a curated list of Jupyter projects, libraries, and resources organized to help developers discover tools and extensions for the Jupyter ecosystem.
The list addresses the challenge of navigating the broad Jupyter ecosystem by collecting and categorizing notable projects, libraries, and learning materials in one place. It organizes entries into logical sections covering runtimes and frontends, collaboration and education tools, visualization libraries, table rendering solutions, publishing and conversion utilities, version control integrations, JupyterLab extensions, testing frameworks, domain-specific projects, hosted notebook platforms, official documentation, community resources, and tutorials. This structure allows developers to quickly find relevant tools for their specific use case without extensive searching.
Developers should use this list when evaluating what tools and extensions to adopt for Jupyter-based workflows. It suits anyone working with Jupyter notebooks who wants to discover complementary libraries for visualization, collaboration, publishing, or specialized domains. The list is particularly valuable for teams exploring hosted notebook solutions or looking to extend JupyterLab functionality. Since it is a curated collection rather than a comparison tool, it presents options without detailed feature comparisons, making it best used as a starting point for further investigation rather than a definitive ranking.
The project maintains an organized, categorized structure that reflects the breadth of the Jupyter ecosystem. Entries are grouped by functional area, making it straightforward to navigate to relevant sections. The inclusion of official resources, community contributions, and educational materials alongside tools and libraries provides a comprehensive view of what is available to Jupyter users.
