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 — Technical Overview
Deepnote is an open-source, self-hostable collaborative data workspace designed for data scientists, ML engineers, and data teams. It combines Python and SQL execution in a single notebook environment with real-time multiplayer collaboration.
Key technical capabilities:
- Unified Python + SQL notebooks — run SQL queries and Python cells side-by-side in one document
- AI agents & MCP support — built-in AI-powered analysis with Model Context Protocol (MCP) support for agent-driven workflows
- GPU support — compute environments with GPU access for ML training and inference workloads
- Scheduled notebooks & pipeline automation — trigger notebook runs on a schedule or via external events
- Data apps & dashboards — publish interactive apps directly from notebooks
- 100+ data source integrations — including BigQuery, Snowflake, Spark, Snowpark, dbt, LookML, Salesforce, AWS, and more
- IDE integrations — connects with Visual Studio Code and Claude Code
- API available — programmatic access to workspace resources
- Self-hostable & open-source — deploy on your own infrastructure
- Compliance — SOC2, HIPAA, and GDPR certified
Pricing: Free plan (up to 3 editors, 5 projects, limited AI). Team plan at $39/editor/month billed yearly with a 14-day free trial. Enterprise plan at custom pricing.
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