Jupyter AI: A Map of 100 Jupyter Extensions for AI (openteams.com)

A new initiative has emerged in the Jupyter community with the launch of a comprehensive map of 100 AI extensions for Jupyter, curated by engineers from OpenTeams. This catalog serves as a significant resource for educators, developers, and researchers, offering a systematic overview of the diverse AI capabilities being integrated into Jupyter notebooks. With the recent uptick in AI extensions, many of which are developed for specific institutional needs yet remain relatively unknown, this map aims to bridge that gap and highlight the exciting innovations across the ecosystem. The curated list features an array of tools categorized into ten sections, including chat panels, inline completion, and teaching aids such as Jupyter AI Tutor. This organization not only simplifies discovery for users but also reveals trends, such as the prevalence of chat-based interfaces and the push for real-time collaboration features. Importantly, the continued stability of JupyterLab's API since version 4.0 ensures that many of these extensions will remain functional as new AI services emerge. This initiative reinforces the open-source ethos of Jupyter, advocating for the use of accessible and sustainable tools over transient, closed-source solutions, ultimately fostering a more robust AI application landscape in data science and education.