Deepnote
A Jupyter notebook you can actually share, with an agent that edits any block in it, not just the last one.
The right pick when the analysis has to be real Python that a colleague can rerun, not a chat transcript you have to trust.
Wrong forPeople who do not write code. If pandas is the blocker, Julius answers the question and Deepnote just hands you a notebook.
- Best for
- Python analysis you need to hand to someone else
- Pricing
- Free · from $39/editor/mo
Verified facts
- Free tier
- Free forever: 3 editors, 5 projects, limited Deepnote AI, unlimited 5 GB RAM / 2 vCPU machines, 7-day revision history
- Entry paid plan
- $39/editor/mo billed yearly (Team)
- Bills in
- editor seats plus monthly compute and AI credit allowances
Verified · source: deepnote.comdeepnote.comgithub.com
Pricing page (server-rendered) shows Free forever: up to 3 editors, 5 projects, limited Deepnote AI, unlimited basic machines at 5 GB RAM / 2 vCPU, 7-day revision history. Team lists $39 per editor/month billed yearly (page carries a -20% badge, so month-to-month is higher and is only rendered client-side; the $39 figure is the annual rate). Team includes monthly allowances of $39 AI credits, $280 CPU and $50 GPU. Enterprise is custom. Docs state the agent can 'create, edit, and remove SQL, Python, or text blocks, anywhere in your notebook' and is available on Pro, Team and Enterprise. GitHub repo deepnote/deepnote is Apache-2.0, ~3.0k stars, last push 2026-08-18, described by Deepnote as 'a drop-in replacement for Jupyter'. Not verified: whether the agent is still labelled beta, and current free-tier AI completion limits beyond the '10 completions per month' string on the pricing page.
Head to head
Featured in
What it's actually used for
- Drop-in replacement for Jupyter: existing .ipynb files open and run without conversion
- The agent creates, edits and removes SQL, Python or text blocks anywhere in the notebook, with before-and-after diffs you approve
- SQL blocks query a connected warehouse and hand the result back to Python as a dataframe in the same notebook
- The core notebook is open source under Apache-2.0 (github.com/deepnote/deepnote), so local work is not locked to the cloud
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