Deepnote
Collaborative cloud data notebook, positioned as a Jupyter replacement, that mixes Python, R and SQL blocks with an AI agent, charts, scheduled runs and shareable data apps, plus an Apache-2.0 open-source format and VS Code extension for local work.
About Deepnote
Plain Jupyter notebooks are hard to share, schedule, review in git and connect to company warehouses, so analysis often ends up as exported CSVs and screenshots.
Who it’s for
- Data analysts and data scientists who query warehouses in SQL and Python and share results with non-technical teammates
- Data teams that need scheduled notebooks, dashboards, access controls and, on Enterprise, SSO, audit logs and single-tenant deployment
When to consider it
Consider Deepnote when you want one workspace where SQL and Python blocks run against 100+ built-in integrations such as Snowflake, BigQuery and PostgreSQL, an AI agent writes and explains code, notebooks run on a schedule or as APIs, and analyses can be published as apps or dashboards by sharing a link.
Tradeoffs & limitations
- The Free plan is limited to 3 editors, 5 projects, 7-day revision history, a 15-minute inactivity timeout and a small AI allowance (for example 5 Deepnote Agent calls and 10 AI code completions a month). Team is $39 per editor a month billed yearly or $49 billed monthly; Enterprise is custom-priced.
- Real-time collaboration, the hosted agent and managed compute are part of Deepnote Cloud; the open-source repository currently covers the .deepnote file format, conversion tools and editor extensions, and running the Deepnote UI locally is listed on its roadmap.
SOTA overview · Documentation-based assessment · Sources & review method
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Sources & review method
Documentation-based assessment · Nov 2, 2026 · Prepared with AI assistance; not a hands-on benchmark.
Checked by SOTA · AI-assisted documentation review. Selection advice is our assessment; verify current requirements for your deployment.
Import history & original evidence
Deepnote official website
Collaborative cloud data notebook, positioned as a Jupyter replacement, that mixes Python, R and SQL blocks with an AI agent, charts, scheduled runs and shareable data apps, plus an Apache-2.0 open-source format and VS Code extension for local work.
Based on official pages and announcements checked on 2026-11-02. No hands-on test, performance benchmark or popularity ranking is claimed.