Open infrastructure for research and education
Each community gets a hub with the tools, data, and resources for their workflows
Resource and user management
Interactive interfaces
Computational knowledge bases
Membership in our network provides access to our hub platform so your community can create and share knowledge with open infrastructure.
Communities
>90Active users
>6500Countries
>15Upstream PRs
>2000
What is a community hub?
A hub is a cloud environment where your community can access shared tools, data, and computational resources.
and 
.Choose from community-maintained stacks or bring your own.
Community leaders control who can use the hub.
From laptops to GPUs, sized for your workflows.
What makes us different
We exist to serve research and education communities, not shareholders. Your Right to Replicate means you can take your infrastructure anywhere, with or without us.
We listen to researchers and educators, then work with upstream open source projects on solutions that benefit everyone — not just our members.
Our network connects communities across disciplines. When geoscientists and biologists face similar challenges, we bridge the gap through shared tools and practices.
Recent work
We share our progress and impact on our blog.
Protecting our hubs against the CopyFail kernel exploit
The recently disclosed CopyFail Linux kernel zero-day (CVE-2026-31431) opens up a way for code running inside a container to break out onto the underlying node. We took a close look at our hubs to confirm whether they were exposed, confirmed that our hubs are likely not at risk, and added another layer of protection just in case.
Supporting JupyterHub admins on workshop hubs with shared passwords
To facilitate communities using JupyterHub for a workshop, we introduced the idea of a ‘shared password’ based authentication a few years ago. This lets communities set a single global password that is handed out to all workshop attendees (instead of collecting email addresses or GitHub usernames before the workshop starts).
Report from the Jupyter and AI community meetup
A small group of Jupyter community members recently met in Seattle to demo Jupyter workflows augmented with AI tools and discuss what’s next. This is a quick report-out about what stood out.
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