Deepnote is a collaborative data notebook platform for data science teams with AI-powered assistance. It is compatible with Jupyter and supports Python, R, and SQL, combining interactive notebooks with cloud execution environments for real-time multi-user collaboration.
Collaboration and Editing
- Real-time simultaneous editing with multi-user cursors, comments, and operation history
- Shared workspaces with role-based permissions for team collaboration at scale
- Version history and checkpointing for reproducible experiment tracking
- Jupyter-compatible notebook format enabling seamless migration from existing workflows
Compute and Data Connectivity
- Integrated cloud backends with configurable CPU, GPU, and memory resources
- Built-in data connectors for popular databases, cloud storage, and SaaS platforms
- Visualization panels and interactive chart widgets for exploratory data analysis
- Support for Python, R, and SQL within the same notebook environment
Deployment and Integration
- Package notebooks as deployable data applications or scheduled jobs with CI integration
- API access and integration points for version control, CI/CD pipelines, and cloud storage
- Access controls and audit logging for enterprise governance
- Export to multiple formats including HTML, PDF, and static reports
Use Cases
- Collaborative data analysis and teaching labs with real-time multi-user editing
- Model prototyping and rapid experimentation with configurable compute resources
- Building visual demos and interactive dashboards for stakeholders
- Deploying mature workflows as production data applications or scheduled reporting jobs