Deepnote Review (2026): Pricing, Features & Honest Verdict

TLDR

Deepnote is a collaborative data science notebook that combines Python, SQL, and AI in a real-time multiplayer workspace. Deepnote is the strongest collaborative data notebook on the market today, especially for teams that mix Python and SQL across cloud warehouses. Best for: data teams that want a collaborative, AI-assisted notebook with native SQL and warehouse integrations instead of self-hosting Jupyter. Price: Free / $39/editor/mo (annual). Rating: 7.9/10.

What is Deepnote?

Deepnote is a collaborative data science notebook that combines Python, SQL, and AI in a real-time multiplayer workspace. It is used by more than 500,000 data professionals and recently went open source, positioning itself as a modern Jupyter alternative for teams. Companies in fintech, biotech, gaming, and research rely on it for analysis and ML work.

The platform integrates with 100+ data sources including BigQuery, Snowflake, Databricks, and Postgres, and offers AI-powered code generation, refactoring, and explanation. Beyond notebooks, Deepnote supports data apps and dashboards, scheduled runs, ETL pipelines, and GPU access, making it useful across analytics, data engineering, and ML workflows.

What Are Deepnote’s Key Features?

Real-Time Collaboration

Multiple editors work in the same notebook simultaneously, similar to Google Docs. Comments, cursors, and revision history are built in, removing the need to share .ipynb files via Git or email.

Python and SQL Together

Native SQL blocks query connected warehouses without leaving the notebook. Results pipe directly into Python for further analysis, charts, and machine learning.

AI Coding Assistant

Generate, edit, explain, and debug code with built-in AI. Auto AI can analyze a connected dataset and write the analysis end to end based on a natural-language prompt.

Data Apps and Dashboards

Convert any notebook into a shareable interactive app with input widgets and embedded charts. Useful for self-service analytics without rebuilding work in BI tools.

Scheduled Runs and Pipelines

Schedule notebooks to run on a cron, with alerts on failure or threshold breach. Supports ETL/ELT workflows alongside ad-hoc analysis.

Enterprise Security

SOC 2 Type II certified, with HIPAA, SSO, audit logs, single-tenant deployments, and on-prem options on Enterprise. Suitable for regulated industries.

Deepnote Pricing

Team is billed annually with a 14-day free trial. Free tier includes 3 editors and unlimited viewers, with monthly compute credits included on Team. Enterprise pricing is negotiated per organization.

Pros and Cons

Pros

• Real-time collaboration is genuinely smooth, much better than Jupyter on Git
• Native SQL blocks plus Python in one notebook saves switching tools
• Strong AI features including end-to-end Auto AI analysis
• 100+ data integrations including Snowflake, BigQuery, Databricks
• SOC 2 Type II and HIPAA options for regulated workloads

Cons

• Free plan limited to 3 editors and 5 projects
• Pricing per editor adds up fast for larger data teams
• Some advanced ML libraries require Plus or Performance machines on Team
• Pure code-only purists may prefer JupyterLab or VS Code

Who is Deepnote Best For?

Use Deepnote if: data teams that want a collaborative, AI-assisted notebook with native SQL and warehouse integrations instead of self-hosting Jupyter.

Skip Deepnote if: the use case doesn’t match your day-to-day workflow.

Best Deepnote Alternatives

Final Verdict: Is Deepnote Worth It?

Deepnote is the strongest collaborative data notebook on the market today, especially for teams that mix Python and SQL across cloud warehouses. The combination of real-time multiplayer editing, Auto AI, and managed compute genuinely shortens the time from question to insight.

At $39 per editor per month, it is not cheap once you have a real team, and free-tier limits push you upgrade quickly. But if you compare against the cost of self-hosting JupyterHub plus building your own auth and integrations, the math usually favors Deepnote.

FAQ

Is Deepnote a Jupyter replacement?

Yes, Deepnote is fully compatible with .ipynb files for import and export, so you can move existing Jupyter notebooks in or out. It adds collaboration, integrations, and managed compute on top.

Does Deepnote support GPUs?

Yes, the Team plan includes around $50 of GPU credits per month, with K80 GPUs and 12GB of memory. Enterprise customers can negotiate larger or custom GPU allocations.

Is Deepnote SOC 2 compliant?

Yes, Deepnote is SOC 2 Type II certified across all plans, including the free tier. HIPAA compliance is available on the Enterprise plan.

Can I connect Deepnote to Snowflake or BigQuery?

Yes, the Team and Enterprise plans support BigQuery, Snowflake, Redshift, Databricks, and many other warehouses. Free tier supports Postgres, MySQL, and ClickHouse only.

Is Deepnote open source?

Deepnote announced it became open source, so the core platform is available to inspect and self-host. The managed cloud product remains the easiest way to get started.

Does Deepnote have AI features?

Yes, Deepnote includes code completion, generation, editing, explanation, and Auto AI which can analyze a dataset end to end from a prompt. Free users get limited monthly AI usage.