Deepnote
4.4
Deepnote is a collaborative notebook where Python and SQL cells live side by side and the result can be published as a dashboard. It is aimed at analysts who work in notebooks but have to deliver something a stakeholder can use.
- Commercial use OK
- Free tier
- Enterprise contract
- Pricing
- $39/mo
- Free tier
- Free tier
- Commercial use
- Permitted
- Japanese UI
- Not confirmed
- Enterprise contract
- Available
What it is good for
- Analysis that mixes SQL and Python in the same document
- Sharing results without exporting screenshots
- Teams reviewing each other's analysis
- Publishing a notebook as an interactive dashboard
Strengths and trade-offs
Strengths
- SQL and Python in one notebook, with real collaboration
- Publish as a dashboard without a separate tool
- Warehouse connections built in
- Free tier for individuals
Trade-offs
- Assumes notebook and SQL competence
- Per-seat cost across an analytics team
- Overlaps with tooling many teams already pay for
Editors' review
Notebooks that other people can actually use
The usual failure of notebook analysis is the last mile: the work is correct and the stakeholder receives a screenshot. Deepnote closes that by letting the notebook itself be published with inputs, so the question gets explored rather than re-asked.
Mixing SQL and Python in one document matches how analysis is really done — pull with SQL, shape with Python — without exporting between tools.
It expects skills, and it overlaps with tooling many teams already have. The question is not whether it is good but whether it replaces something, because adding a fourth place where analysis lives makes things worse.
Verdict
Strong for analyst teams that currently ship screenshots. Check it replaces rather than adds.
Compiled from official documentation and public sources, with our own editorial judgement. We do not publish figures we cannot source.