Deepnote
Deepnote is an AI-powered, collaborative data science notebook environment designed for data analysts and data scientists.
Our verdict
Who it's for
Collaborative analytics and data science notebook for the AI era.
Who should look elsewhere
Limited Deepnote AI features and compute resources in the free tier.
Pros
- +AI assistance significantly speeds up data analysis and coding tasks.
- +Seamless collaboration features make teamwork efficient.
- +Supports a wide range of data sources and languages.
- +Ability to create interactive data apps and dashboards from notebooks.
- +Strong security and compliance features suitable for enterprises.
Cons
- −Limited Deepnote AI features and compute resources in the free tier.
- −Advanced security and deployment options are only available in higher-tier plans.
- −Reliance on cloud infrastructure may not suit all data governance requirements without custom deployments.
Key features
- ✓AI-powered code generation, explanation, refactoring, and debugging
- ✓Support for Python, SQL, and R in a single IDE
- ✓Interactive visualizations and no-code configurable charts
- ✓Creation and deployment of data apps and dashboards
- ✓Scheduled notebooks and API deployment for models
- ✓Real-time collaboration, commenting, and version history
- ✓Integration with 60+ data sources (Snowflake, BigQuery, dbt, etc.)
- ✓Access to powerful GPUs and custom machine configurations
Pricing
| Plan | Price | Billing | Notes |
|---|---|---|---|
| Free | — | month | Up to 3 editors; Up to 5 projects; Limited Deepnote AI |
| Team | $39 | month | Unlimited viewers & notebooks; Unlimited Deepnote AI; GPT-5 and Sonnet 4.5 access |
| Enterprise | — | month | Custom contract & invoice; Priority support; Dedicated success manager |
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