Collaborative analytics & data science notebook platform for exploring data with Python & SQL, team collaboration, and sharing insights.
This is the broad commercial model reported for Deepnote. Product-level terms are listed below when available.
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Deepnote released several feature updates including a revamped project settings interface, automatic schedule pausing for failed notebooks, and a new trash recovery feature for deleted projects. Additionally, Enterprise customers gain the ability to use EU-hosted OpenAI models via Microsoft Azure's Sweden Central region to meet data compliance requirements. New API and MCP (Model Context Protocol) updates were also introduced to allow programmatic notebook duplication and project URL generation for AI agents.
Deepnote introduced several platform enhancements, including new Model Context Protocol (MCP) tools for automated integration management, a dedicated pivot table block, and Git directory synchronization. The platform also updated security controls for MCP OAuth grants and added OAuth-based BigQuery support to the VS Code extension. Other improvements include improved AI agent context, new AI model selections, collapsible notebook sections, and expanded SQL support for R-based environments.