Deepnote
Collaborative AI-native notebooks with a project-aware agent, MCP server, and data apps.
About
Deepnote is a collaborative data notebook platform where teams write Python, SQL, and R in shared notebooks with real-time editing, managed cloud compute, and 60+ data source integrations. Deepnote Agent works across full project context — editing and running blocks or answering questions without touching anything — and notebooks can be scheduled, triggered via API, connected to Slack, or published as data apps.
Deepnote leans into the agentic era with an official MCP server (@deepnote/mcp) and CLI (@deepnote/convert) for bidirectional conversion between Deepnote, Jupyter, Quarto, and marimo formats, plus VS Code, Cursor, and Windsurf extensions. A free tier (3 editors, 5 projects) and a free Education plan make it accessible, with Team at $39/editor/month billed annually.
Limitations: GPU and higher-spec machines require a paid tier; it is not a BI tool, so dashboard-heavy teams may prefer purpose-built analytics; and performance can lag on very large datasets per user reviews.
What it can do
- Real-time collaborative notebooks (Python, SQL, R)
- Project-aware Deepnote Agent
- MCP server for external agent integration
- Scheduling, APIs, and data apps from notebooks
- 100+ data source integrations
Setup
Sign up at deepnote.com; create a project in the browser — no install needed. Install the VS Code/Cursor extension for local workflows.
Prerequisites
A data project; connections to your warehouses or databases for full value.
Use cases
Works with
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 67; Trending score 81/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.