Deepnote is a workspace for data analysis with Python, SQL, and no-code tools. Connect your data, work with teammates, use AI assistance, and publish notebook results as dashboards or apps.
- Describe and visualize: Generate visualizations and code by describing your goal.
- Auto AI: Write, execute, and debug code with AI.
- Deepnote Agent: Delegate multi-step data tasks to a sidebar agent that can create and edit blocks, run code, and inspect outputs.
- Code completion: Use context-aware code suggestions as you type.
- Connect data: Integrate with more than 60 data sources, including BigQuery, Snowflake, and PostgreSQL.
- Combine Python and SQL: Use both languages in the same notebook.
- Reuse modules: Build reusable components for ETL processes, analytics, and trusted metrics. Write them once and reuse them across projects.
- Define a semantic layer: Share reusable definitions and metrics across your organization.
- Choose a machine: Select the compute resources that your project needs.
- Schedule and notify: Schedule notebook runs and receive notifications about their results.
- Work in a team: Organize analyses in projects and folders that your team can share.
- Integrate via REST API: Manage projects, notebooks, and workflows through the API.
- Publish: Turn notebooks into dashboards or data apps, or use the Streamlit integration.
- Add inputs: Let viewers filter data and test different values.
- Share: Control who can open your apps.
Contact help@deepnote.com for support.
