Deepnote
Verified Oct 2, 2026 ActiveCollaborative cloud notebook for Python, SQL and R with an AI agent, scheduled runs and shareable data apps.
Listed on EffectHub ·
Pricing
- Pricing model
- Freemium
- Paid options from
- $39/seat/mo
- Billing
- Per seat, monthly
Free plan: up to 3 editors and 5 projects, with small monthly caps on AI calls. Team is $39 per editor a month on annual billing (listed as 20 percent off the monthly rate) with a 14-day trial and bundled AI, CPU and GPU credits; Enterprise is custom.
Use tool ↗About Deepnote
Deepnote is a Jupyter-compatible notebook workspace that runs in the cloud and lets several people edit the same project at once. It mixes Python, SQL and R blocks, connects to warehouses and other data sources, and has an AI agent that writes, edits and explains cells or builds charts and dashboards from a question. Notebooks can be scheduled, turned into published data apps, or opened locally from an editor extension and continued in the cloud. The plans are priced per editor, and the company also publishes an open-source notebook toolkit on GitHub under Apache-2.0.
- Platforms
- Web · VS Code extension
- API
- No
- Last verified
- Oct 2, 2026
Verified sources
- Product scope: notebook workspace, AI agent, data apps, scheduling, VS Code workflowdeepnote.com ↗
- Free, Team and Enterprise plans, per-editor annual price and bundled creditsdeepnote.com ↗
- Operating entity Deepnote, Inc. in the terms of servicedeepnote.com ↗
- Open-source notebook toolkit repository, Apache-2.0github.com ↗
Is Deepnote legit?
We don’t label tools safe or unsafe. Below are the records we checked ourselves, each with the date we read it.
- Last checked
- Oct 2, 2026The site answered
- Operated by
- Deepnote, Inc., United StatesOur research, card verified Oct 2, 2026
Pros & cons of Deepnote
Deepnote suits analytics and data science teams that like the notebook workflow but want shared editing, scheduling and AI help without managing Jupyter servers. The free plan is generous enough for a small group to evaluate it on real projects. It is less convincing for people who only need a single dashboard, or who need on-premises hosting below the Enterprise tier.
Pros
- Real-time editing, comments and revision history in one workspace
- Python, SQL and R together, with native connections to common warehouses
- Free plan includes unlimited basic compute and up to 5 projects
- Scheduled notebooks and published data apps turn analysis into repeatable output
Cons
- Free plan limits editors to 3 and AI agent use to a few calls a month
- Per-editor pricing grows quickly for larger analytics groups
- Heavy compute and extra AI use are billed on top of the bundled credits
Best for
- Data teams that want real-time collaboration on Python and SQL notebooks
- Analysts who publish results as data apps and scheduled reports
- Developers who prefer to work locally in an editor and scale up in the cloud
Not for
- Business users who want to ask questions without touching code
- Teams that require a self-hosted deployment without an Enterprise contract
Watch out: The $39 Team price is the annual-billing rate per editor; the month-to-month rate is higher. Compute and AI credits are bundled up to a monthly allowance, and usage above it is billed extra.
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