Deepnote

Deepnote is a collaborative, AI-assisted data notebook platform where teams analyze data together in Python, SQL and no-code blocks.

Overview

Deepnote brings Jupyter-style notebooks to a real-time collaborative environment built for data teams. Notebooks run in the browser against connected warehouses and databases, with SQL blocks, interactive charts, and scheduling so analyses become recurring reports. Its AI assistant writes and explains code, generates charts from natural language, and helps debug errors inline. Versioning, comments and granular permissions make notebooks a team artifact rather than a personal scratchpad, and the platform integrates with the modern data stack — Snowflake, BigQuery, Postgres, dbt and more.

Teams typically connect the warehouse, prototype analyses in SQL blocks, then move logic into Python cells for modeling and charts. Scheduling turns a notebook into a recurring report delivered to Slack, and version history makes peer review as easy as commenting on a diff. The AI assistant is tuned for data work — it explains unfamiliar pandas idioms and fixes broken cells in place — which shortens onboarding for analysts joining a project.

Key Features

• Real-time multiplayer notebooks with comments and version history
• Native SQL blocks alongside Python and no-code cells
• AI code generation, explanation and error debugging inside cells
• Direct connections to warehouses, databases and cloud storage
• Scheduled notebook runs with email/Slack delivery of outputs
• Granular access controls, secrets management and audit-friendly workspaces
• Scheduled runs with Slack and email delivery
• Version history and commenting for notebook review

Pricing

Deepnote is free for individuals with compute and project limits, with paid team plans per user that add scheduling, stronger compute tiers, SSO and advanced permissions. Enterprise plans include dedicated support and custom deployment arrangements.

Who Is It For

It is built for data science and analytics teams that collaborate on exploratory analysis and want notebooks that are shareable, governed and connected to live data — from startups to enterprise data orgs.

FAQ

Is Deepnote free to use?

Yes, individuals can use Deepnote free with limits on compute and projects; teams need paid subscriptions for collaboration and scheduling.

Does Deepnote offer an API?

Deepnote provides APIs and integrations for embedding notebooks, automating runs and connecting data sources.

How does Deepnote compare to alternatives?

Against classic Jupyter or hosted notebooks like Hex, Deepnote competes on collaboration ergonomics and warehouse-native SQL workflows, while Hex leans deeper into app-style data apps.

What languages does Deepnote support?

Deepnote notebooks support Python, R and SQL natively, plus no-code blocks; additional runtimes and integrations extend coverage for specialized data science workflows.