Deepnote
Free tierThe collaborative data workspace built for humans and AI agents
Free tier available·All audiences·API available·Open source
Key strengths
Collaborative notebooks with multiplayer modePython & SQL in the same notebookAI-powered data analysis and agents100+ data source integrationsData apps and dashboardsScheduled notebooks and pipeline automationGPU support for ML workloadsSOC2, HIPAA, and GDPR complianceMCP support for agent workflows
Free tier + paid plans · from $39 USD/mo
San Francisco, USA
Founded 2019
Self-hostable
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Recent changes
- Plans updated: Free plan (up to 3 editors, 5 projects, limited AI). Team plan at $39/editor/month billed yearly (14-day free trial). Enterprise plan at custom pricing.
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Deepnote — Documentation & Developer Resources
Deepnote provides developer-facing resources to support integration, deployment, and automation:
- API access — a available API enables programmatic interaction with workspace resources, suitable for automation and CI/CD pipelines
- MCP support — Model Context Protocol integration allows AI agents to interact with Deepnote environments in structured, tool-driven workflows
- Self-hosting — Deepnote is self-hostable, allowing deployment on your own infrastructure for data residency or compliance requirements
- Open-source — the codebase is open-source, enabling inspection, contribution, and custom extension
- IDE integration — native integration with Visual Studio Code and Claude Code for developers who prefer local editing workflows
- Data source connectors — integrations with BigQuery, Snowflake, Spark, Snowpark, dbt, LookML, Salesforce, AWS, and Notion, configurable within the workspace
- Scheduled execution — notebooks can be scheduled for automated pipeline runs, supporting data engineering and MLOps workflows
- GPU environments — compute environments with GPU support are available for ML workloads
- Compliance certifications — SOC2, HIPAA, and GDPR, relevant for enterprise security reviews and procurement
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