Jupyter Day

Overview

Jupyter Day is a community driven event hosted in San Jose that brings together contributors, developers, researchers, educators, and AI practitioners to shape the future of AI in the Jupyter ecosystem. The event is organized under the auspices of the Jupyter Foundation and is co-located with PyTorch Conference North America. It focuses on collaborative exploration of how AI should be integrated across the Jupyter ecosystem, with the aim of establishing a shared vision, identifying common building blocks, and proposing extensible APIs to enable interoperable AI experiences across notebooks and applications. The setting is designed to foster hands-on collaboration, demonstrations, and discussions aimed at advancing interactive computing with AI components.

Details

Date: October 19, 2026 Location: San Jose, California, United States. The event is listed as an offline in person gathering with a program that includes demos, sessions, and collaborative tracks. Attendees range from core contributors to extension developers, AI researchers, and educators looking to influence the direction of AI within Jupyter.

Agenda and format

The page presents a high level agenda geared toward practical outcomes and community engagement. Highlights include:

• Interactive demos showcasing emerging AI capabilities within Jupyter
• Collaborative discussions to define technical priorities and establish roadmap milestones
• Focused sessions to prototype shared APIs, frameworks, and tooling
• Opportunities to connect with Project Jupyter contributors and the broader AI community
• Open conversations about creating seamless, human-centered AI experiences for developers, researchers, and educators

The format emphasizes hands-on demonstrations, collaborative planning, and session-based tracks that help attendees contribute to a shared future for AI in notebooks and related Jupyter applications. The event is designed to accommodate a broad audience, from longtime contributors to newcomers curious about how AI intersects with Jupyter.

Tracks and sessions

Text from the page indicates a program structure with multiple components and callouts to the CFP and program-related activities. The event invites participants to Submit a Session and to engage with program tracks that focus on API design, tooling, and integration strategies for AI in the Jupyter ecosystem. The scheduling elements and track concepts suggest sessions that explore priority topics, prototype work, and collaboration opportunities, making the event suitable for researchers, developers, and educators seeking to influence the AI capabilities within Jupyter.

Attendee profile and impact

This event targets a diverse audience, including core contributors, extension developers, AI researchers, and educators who are interested in collaborative development and shared API design. Attendees can expect to participate in hands-on demos, define technical priorities, and contribute to a roadmap that outlines milestones for AI integration in the Jupyter ecosystem. Those who participate are encouraged to connect with other community members, share ideas, and help shape the direction of AI within Jupyter going forward.

FAQs and logistics

The page links to practical attendee resources such as FAQ, venue and travel, health and safety, inclusion and accessibility, and visa letter requests. It also provides registration details and sponsor information, indicating a well-supported community event with opportunities for involvement beyond attendance, including sponsorship and presenting sessions.

Who should attend

If you are a contributor to Jupyter, an extension developer, an AI researcher, or simply curious about the future of interactive computing, Jupyter Day offers a collaborative space to help define priorities, prototype APIs, and participate in shaping the future of AI in the Jupyter ecosystem.