Deepnote

Deepnote is a collaborative data notebook platform for analysts and data teams. It combines Python and SQL notebooks, interactive apps and dashboards, connected data sources, real-time collaboration, revision history, scheduled execution, and Deepnote AI. Deepnote Agent can transform a notebook and use connected MCP integrations; teams can run notebooks on managed machines and connect databases, warehouses, cloud storage, and Git providers.

✨ Key Features

• Work in Python and SQL notebooks — Explore data, write code, and document analysis in one workspace.
• Use Deepnote AI — Get code completion, code generation, editing help, and an AI agent inside notebooks.
• Run notebook agents — Let Deepnote Agent transform notebook work and use connected MCP integrations.
• Connect data sources — Work with PostgreSQL, MySQL, BigQuery, Snowflake, Redshift, MongoDB, Databricks, Trino, and other sources.
• Collaborate in real time — Share notebooks, comment, and manage projects in a shared workspace.
• Schedule execution — Run notebooks in the background on a schedule for recurring analysis.
• Build interactive apps and dashboards — Turn analysis into shareable data experiences.
• Use notebook APIs and Git sync — Export/import .ipynb notebooks and connect work to Git workflows.
• Choose compute environments — Use managed CPU/GPU machines, custom environments, and Docker images according to plan.
• Manage enterprise access — Enterprise adds permission groups, SSO, directory sync, audit logs, private images, BYO LLM, and single tenancy.

💳 Pricing

• Free — Free forever; up to 3 editors, 5 projects, limited Deepnote AI, unlimited basic machines with 5 GB RAM/2 vCPU, and 7-day revision history.
• Team — $39/editor/month billed yearly; unlimited viewers and notebooks, GPT-5.6 Sol and Sonnet 4.6 access, premium integrations, background execution, scheduled notebooks, 30-day revision history, $39 AI credits/month, $280 CPU credits/month, $50 GPU credits/month, and more powerful machines.
• Enterprise — Custom pricing; custom contracts and invoicing, priority support, dedicated success manager, unlimited AI, permission groups, SSO and directory sync, private Docker images, BYO LLM, audit logs, federated authentication, single tenancy, and volume machine discounts.

Deepnote AI usage beyond the included monthly quota is billed on a usage basis, with workspace overage controls. Education plans may provide Team-like features for free to eligible educational users.

⚖️ Alternatives Compared

🎯 Use Cases

• Analysts exploring datasets with Python and SQL.
• Data teams collaborating on shared investigations.
• Researchers documenting reproducible analysis in notebooks.
• Teams building recurring reports with scheduled notebooks.
• Engineers connecting notebooks to databases and warehouses.
• Analysts creating interactive dashboards from notebook work.
• Developers using APIs and Git synchronization in a data workflow.
• Teams using AI to generate or edit analysis code.
• Enterprises requiring SSO, audit logs, private images, or single tenancy.