Deepnote
A real-time collaborative, Jupyter-compatible notebook with best-in-class AI code assistance.
Standout features
Deepnote is the collaboration-first data notebook — think Google Docs for data science, fully Jupyter-compatible.
Worldwide search interest, indexed 0–100 · Google Trends.
Deepnote is a collaboration-first, cloud data notebook — Jupyter-compatible, with strong AI code help.
- Founded in 2019 by Jakub Jurovych; San Francisco HQ with European roots.
- Raised around $23.8M from Index Ventures, Accel, Y Combinator and angels.
- Acquired Hyperquery to deepen its analysis and reporting story.
- Best for data teams who want notebooks plus genuine real-time collaboration.
Deepnote pairs Jupyter compatibility with AI throughout.
- Supports Python, SQL and R in one cloud notebook.
- AI assistant generates, refactors, explains and debugs code.
- Strong code completion and a notebook AI agent.
- Integrates with GitHub, S3, warehouses and major databases.
Free tier for individuals; paid team and enterprise plans.
Deepnote is for collaborative, code-driven data teams.
- Data scientists who pair and review code.
- Teams wanting Jupyter without local setup.
- Educators and students.
- Non-coders who want chat-only analysis.
- Pure BI dashboarding needs.
No tool is perfect — the trade-offs to weigh:
- Assumes coding ability.
- Less of a governed BI layer than enterprise platforms.
- Smaller company than the BI giants.
- Best value only appears with team use.
- ✓Excellent real-time collaboration
- ✓Strong AI code completion
- ✓Jupyter-compatible
- ✓Wide integrations
- ✓Generous free tier
- ✕Requires coding skills
- ✕Not a governed BI platform
- ✕Smaller vendor
- ✕Team value needs a team
Data scientists like Deepnote for being the most collaborative notebook — the AI code completion and real-time editing get specific praise. As with any notebook tool, it assumes the team can already code.
Deepnote is a venture-backed data-notebook company founded in 2019 with a distributed, San Francisco-anchored team.
Company figures are drawn from public disclosures and reputable trackers (gathered Jun 2026). User and revenue numbers are estimates and move fast.
Pick up to two other coding tools to see them head-to-head on the same rubric.