#3 in Business IntelligenceUpdated 2026-08

Deepnote

by Deepnote · Collaborative Python and SQL notebooks with dashboards, apps and scheduling

66.2 — BenchRank score out of 100

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Pricing page

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Overview

Deepnote is a cloud notebook where teams query data with Python and SQL, chart the results, and publish them as dashboards, data apps or scheduled jobs. Notebooks connect to warehouses and databases through built-in integrations, run on hosted CPU or GPU machines, and can be deployed as APIs. Editing is real-time, with commenting and revision history.

Best for: Data teams wanting collaborative Python and SQL notebooks that publish as dashboards and apps
Pricing: Free tier, then Team at $39 per editor/month billed yearly, with Enterprise on custom pricing.
Runs on: Web

Strengths and trade-offs

Strengths

SQL, Python and chart blocks in one collaborative notebook
Publish notebooks as apps, dashboards, scheduled jobs or APIs
Built-in integrations for major warehouses and databases
Real-time collaboration with commenting and revision history

Trade-offs

Free plan caps you at 3 editors, 5 projects and 10 AI completions a month
Team includes fixed AI, CPU and GPU credit allowances; heavier use costs extra
SSO, audit logs and single-tenancy need Enterprise, priced on request
Only the annual rate is shown; the month-to-month price is not listed

Pricing

Published plans from Deepnote’s own pricing page, in USD. Usage charges and add-ons may apply on top.

Deepnote pricing tiers, monthly and annual rates in USD
Plan	Monthly	Annual (per month)	Includes
Free	—	—	Up to 3 editors and 5 projects Unlimited basic machines (5 GB RAM, 2 vCPU) Limited Deepnote AI 7 day revision history
Team	—per editor	$39	Unlimited viewers, notebooks and projects Background execution and scheduled notebooks $39 AI, $280 CPU and $50 GPU credits monthly 30 day revision history
Enterprise	Contact sales	—	SSO, directory sync and audit logs Single-tenancy and private Docker images Bring your own LLM, unlimited AI Dedicated success manager and priority support

How this score is made up

Each dimension is scored out of 100 and combined into the headline score using fixed weights.

MCP support: 60 out of 100
API quality: 20 out of 100
Documentation: 65 out of 100
Agent friendliness: 75 out of 100
Pricing transparency: 100 out of 100
Changelog: 100 out of 100
Marketing site structure: 60 out of 100
Operational trust: 100 out of 100

Measured, but not part of the score

Useful to know, but not a mark for or against the product — so these do not affect the ranking.

Openness: 60 out of 100
Maintenance: 100 out of 100

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