Let’s be frank the single‑player notebook has felt outdated for a while now. We’re open‑sourcing its successor. Jupyter belongs in the hall of great ideas — alongside “Hello, world.” and “View Source.”
However, it fails modern data teams, data agents, and… data itself.
Teams need notebooks that are reactive, collaborative, and AI‑ready. If your workflow still depends on tools that are not ready for the next decade, your tools are holding you back.
Today, we’re announcing that Deepnote is going open source.
We’re doing this as a way to share our learnings over past 7 years of working to power the worfklows of 500,000 data professionals and over 21% of Fortune 500.
We’re also doing this because the center of gravity has moved: from single‑player JSON scrolls to reactive, AI‑ready projects that humans and agents can co‑author, review, and deploy. We’re opening the format and the building blocks so the community has a standard that is purpose-built for AI.
First principles: we still love notebooks
We are big believers in notebooks — full stop. They are:
Perfect for data exploration
Perfect for collaborating with AI agents
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