A ranked list of 300+ awesome Jupyter Notebook, Hub, and Lab projects (extensions, kernels, tools) updated weekly.
Best-of Jupyter is a curated, ranked directory of open-source projects for the Jupyter ecosystem, including notebooks, hubs, labs, extensions, kernels, and tools. It solves the problem of discovering high-quality Jupyter tools by automatically scoring projects based on GitHub metrics and package manager data, updated weekly.
Data scientists, researchers, educators, and developers who use Jupyter for interactive computing and need to find reliable extensions, visualization widgets, kernels, or deployment tools.
It provides a data-driven, continuously updated overview of the Jupyter landscape, saving time compared to manual searches and helping users avoid low-quality or abandoned projects through automated quality scoring.
🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Projects are ranked based on automated metrics from GitHub and package managers, providing objective indicators like star counts, activity status, and download counts, as detailed in the README's scoring explanation.
With over 300 projects grouped into 13 categories such as Notebook Environments and Interactive Widgets, it simplifies discovery for specific needs, as listed in the contents section.
The list is refreshed weekly to reflect the latest project health and popularity, ensuring current information, highlighted by the 'Updated weekly' badge and release dates.
Accepts contributions via issues, pull requests, or direct edits to the projects.yaml file, making it a living directory that evolves with community input, as specified in the README.
The automated scoring system focuses on quantitative metrics like stars and downloads, which may not capture usability, documentation quality, or community support, lacking human-curated reviews.
Newer or less popular projects can be overlooked due to lower metrics, potentially missing innovative tools that haven't gained traction yet, a flaw in popularity-based rankings.
Unlike platforms with discussion features, this directory lacks user-generated feedback, making it hard to gauge real-world experiences without visiting each project's page individually.