Deepnote
Description
🖼️ Tool Name:
Deepnote
🔖 Tool Category:
Collaborative data science notebook & analytics workspace; it falls under Programming & Development / Data & Analytics for Python/SQL, dashboards, and team workflows.
✏️ What does this tool offer?
Deepnote is a cloud notebook platform (Jupyter-compatible) for teams to analyze data with Python & SQL, connect to 60+ data sources (Snowflake, BigQuery, Postgres, etc.), and share interactive apps/dashboards. It supports GPU machines, deploying notebooks as APIs, Spark/Snowpark, and integrates with dbt.
⭐ What does the tool actually deliver based on user experience?
• Real-time collaboration (multi-editor, comments, revision history) in cloud notebooks.
• Scheduling & background execution to automate runs; data apps/dashboards for sharing.
• AI assistance (code completion, generate/explain/edit) with monthly call quotas on Free and unlimited on Team.
• Native Snowflake & warehouse integrations; switch between SQL and Python in one notebook.
• Momentum: acquisition of Hyperquery to expand analytics workflows.
🤖 Does it include automation?
Yes — scheduled notebooks, background execution, and AI-assisted code generation/explanation built into the workspace.
💰 Pricing Model:
Free, Team, and Enterprise plans. Team is $39 per editor/month (billed yearly) with a 14-day free trial; Enterprise is custom.
🆓 Free Plan Details:
• Up to 3 editors, 5 projects, AI code completion, unlimited Basic machines (5 GB RAM, 2 vCPU), 7-day revision history.
• Education plan (free) for students, teachers, and researchers with school email.
💳 Paid Plan Details:
• Team: everything in Free plus unlimited viewers/notebooks, unlimited Deepnote AI, premium integrations, background jobs, scheduled runs, 30-day history, more powerful machines, and monthly compute credits ($280 CPU / $50 GPU) with discounted overage.
• Enterprise: SSO, permission groups, private Docker images, audit logs, single-tenancy, and volume machine discounts.
🧭 Access Method:
• Web app (no local setup) with Python/SQL blocks, import/export .ipynb, and integrations to warehouses & dbt; runs on CPUs/GPUs in the cloud.
🔗 Experience Link:
https://deepnote.com