Deepnote is a collaborative data science notebook founded in 2019 by Jakub Jurových, operating out of Prague and San Francisco. The company built a Jupyter-compatible notebook that runs in the cloud rather than on a local machine, so a whole team can open and edit the same analysis at once.
Beyond real-time multiplayer editing, Deepnote adds native SQL blocks alongside Python cells, scheduled and background notebook execution, and an AI assistant that can generate or explain code inline. The company has raised $23.8 million in funding from investors including Index Ventures and Accel, and in 2026 open-sourced the core notebook.
Data teams that need to share reproducible analysis, rather than static exported charts, use Deepnote in place of local Jupyter setups. The Free plan covers up to three editors and five projects; the Team plan runs $39 per editor per month billed yearly and adds model access credits, background execution, and premium integrations, with custom Enterprise pricing for SSO and dedicated support.
Deepnote starts at $39, which is 50% above the Data and Analytics median of $26 a month across the 68 priced tools we list in that category.
The cheapest paid option in Data and Analytics starts at $2.99 and the most expensive at $2,700.
39% of Data and Analytics tools in the directory offer a free tier, and this is one of them.
Compared against every priced listing in Data and Analytics, recalculated as the catalogue changes. Method and the full market breakdown are in our AI tool pricing study.
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