Jupyter Community Workshops: Early 2026
The Jupyter Community Building Working Group is happy to announce the Jupyter Community Workshops selected for funding in early 2026. The dates, venues, participants, and specific agenda for each workshop are being finalized in the near future, so stay tuned for more details.
We applaud all who submitted proposals and each of these selected organizers, who are making a significant commitment to build the Jupyter community. We are very grateful for the generous support of the Jupyter Foundation that makes these workshops possible.
AI in Jupyter: Building Extensible AI Capabilities for Interactive Computing
Zach Sailer (Apple), Jeremy Tuloup (Quantstack), David Qiu (AWS)
This workshop aims to establish consensus around a unified, extensible framework for AI integration across the Jupyter ecosystem by designing shared building blocks, standardized APIs, and protocols that enable seamless integration of AI agents while maintaining the interactive, human-centered experience that defines Jupyter. We will bring together contributors working on AI in notebooks — whether through existing projects, independent extensions, or new ideas — to develop a collaborative roadmap for AI-enabled interactive computing through hands-on demos, collaborative discussions, and focused sprinting sessions.
Roadmap Workshop for JupyterHub and Binder
Arielle Bennett (The Alan Turing Institute), Min Ragan-Kelley (Berkeley Institute for Data Science, UC Berkeley), Raniere Silva (GESIS)
This workshop will be developing and documenting a roadmap for JupyterHub projects. We are inviting maintainers and users to discuss where JupyterHub, repo2docker, and BinderHub should be going and what resources we have to move it forward, and publicly documenting and communicating this plan for improved visibility. The scope will cover a subset of projects across JupyterHub (JupyterHub, Zero to JupyterHub, The Littlest JupyterHub, repo2docker, binderhub, possibly JupyterHealth), depending on which participants we get.
Security Tooling Sprint
Joe Lucas (NVIDIA)
This workshop will survey the open source security tooling ecosystem and find opportunities to integrate select tools to assess and improve the security of Jupyter development and resulting software. These tools may be integrated into existing automation like CI/CD, used for point in time assessments, or potentially during event-driven processes like reviewing vulnerability reports.
Demistify MyST Markdown in Education
Chiara Marmo (Université Paris Saclay — LISN), Nicolas Grenier (Université Paris Saclay — LISN), Kirstie Whitaker (Berkeley Institute for Data Science, UC Berkeley)
The goal of this workshop is to remove barriers for science educators in their adoption of Jupyter Book and the MyST document engine. MyST— part of Jupyter Book, an official sub-project of the Jupyter ecosystem — provides an opportunity to improve the accessibility and replicability of new and existing pedagogical contents. Attendees will leave knowing how they can contribute to the Jupyter Book community, collaborate effectively with maintainers, and advocate for their users’ needs: improving and strengthening the community for all.
