Deepnote, A ‘successor To Jupyter Notebook,’ Goes Open Source

SAN DIEGO — Deepnote, an analytics and information subject notebook for teams, is now open source.

The institution has seen tremendous take of its level since it started successful 2019.

“Over 500,000 information professionals from immoderate of nan champion information teams successful nan world person made Deepnote their superior notebook, and we were beautiful proud of what we built,” said Jakub Jurových, laminitis and CEO of Deepnote, successful a keynote reside astatine JupyterCon here.

“We built a bully notebook that was easy to use. It was beautiful, but we besides felt for illustration we could do more. We could do much for our users, and we could besides do much for nan community.”

Deepnote, built connected Jupyter notebook, has agelong aimed to reside immoderate of nan challenges users person recovered pinch Jupyter, according to Jurových.

“We tried to lick these problems 1 by one, problems specified arsenic nan deficiency of autochthonal integrations, problems pinch nan UI, which was messy and confusing. It was beautiful overmuch scary to each these beginners and each nan nontechnical users.”

Stability, versioning and “also nan aged problem of ‘works of my machine,’” were besides areas wherever Deepnote saw room for betterment successful information subject notebooks, Jurových told nan convention audience.

Collaboration was besides a problem that Deepnote sought to solve, nan CEO said. In a station connected his institution blog successful which he called Deepnote nan “successor to Jupyter notebook,” he expanded connected this idea.

“We’re besides doing this because nan halfway of gravity has moved: from single‑player JSON scrolls to reactive, AI‑ready projects that humans and agents tin co‑author, review, and deploy,” he wrote. “We’re opening nan format and nan building blocks truthful nan organization has a modular that is purpose-built for AI.”

What Does Deepnote Do?

So what’s successful unfastened root Deepnote? Among nan features Jurových called attraction to:

• AI agents, pinch single-player authoring “coming soon,” according to nan company. Deepnote’s supplier “helps to write, edit and explicate nan calls,” Jurových said successful his keynote.
• A shared workspace wherever method and nontechnical users tin collaborate, accommodating autochthonal versioning, comments, reviews and “human‑readable projects pinch cleanable diffs,” according to Jurových’s blog post.
• Blocks for, arsenic his blog station lists them, “SQL queries, Python/R codification blocks, charts, tables, inputs (text/number/select/slider/date), record upload, buttons/actions, layout/app pages, reusable modules.”
• Data app creation capabilities, specified arsenic for users to deploy notebooks arsenic interactive dashboards aliases information apps successful a azygous click.
• More than 100 autochthonal integrations pinch governed secrets, “so you tin link your information sources quickly and securely,” Jurových said successful his keynote. “We nary longer request you to copy-paste passwords and concealed tokens successful your notebooks.”
• Reactive execution, truthful downstream blocks update automatically. These reactive kernels “solve each of those problems pinch reproducibility,” Jurových told nan keynote audience.
• Compatibility pinch Jupyter, VS Code, Cursor aliases Windsurf.

One of nan cardinal benefits of information subject notebooks, Jurových said successful his keynote, is that they are “among nan very fewer computational mediums that really let you to bring method and nontechnical users together. It’s a spot that’s easy to get started with, but besides tin beryllium very powerful.”

He added, “We judge that notebooks are a computational mean that is going to specify nan adjacent decade of computing.”

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