Deepnote
AI collaborative data science notebook
Deepnote is a collaborative data workspace where AI agents and humans work together to explore data, accelerate analysis, and deliver actionable insights. Often described as Google Docs for data science, Deepnote enables real-time multiplayer collaboration on notebooks with integrated AI copilot capabilities for code generation, charting, and natural language data querying.
Key Capabilities
Deepnote features an AI data copilot that can chat with your data, create charts, write code, and turn notebooks into dashboards or apps. Multiple team members can work simultaneously on the same notebook with real-time collaboration. The platform integrates with existing infrastructure including GitHub, GitLab, MongoDB, and S3 buckets. Notebooks can be scheduled to run on recurring intervals, and the platform supports hardware options ranging from CPUs to GPUs for compute-intensive workloads.
Who Should Use Deepnote
Deepnote is ideal for data teams that prioritize collaboration and want a modern alternative to Jupyter notebooks. It suits teams that need real-time co-editing, data scientists who want AI assistance for faster analysis, and organizations looking to turn notebooks into production dashboards and applications without switching tools.
Getting Started
Sign up for free at deepnote.com to access up to 3 editor seats and 5 projects. Create a new notebook, connect your data sources, and start writing Python or SQL code with AI assistance. Upgrade to the Team plan for additional editors, more projects, and advanced features.
Pricing & Accessibility: The Free plan includes up to 3 editors and 5 projects. The Team plan costs $59/editor/month. Enterprise pricing is custom and includes advanced security, SSO, and dedicated support. All plans include AI copilot features.
Why Consider Deepnote: Deepnote makes collaborative data science as seamless as working in Google Docs, with AI copilot capabilities that accelerate analysis and the ability to transform notebooks into production-ready dashboards and apps without leaving the platform.
Pros
- Real-time multiplayer collaboration like Google Docs for notebooks
- Built-in AI copilot for code generation, charting, and data chat
- Free plan with generous 3-editor allocation for small teams
- Notebooks can be scheduled and transformed into dashboards and apps
- Seamless integrations with GitHub, GitLab, and cloud storage
Cons
- Team plan pricing at $59/editor/month is expensive for larger teams
- Fewer advanced data science features compared to dedicated ML platforms
- Limited compute options on the free plan
Who is this for?
Collaborative data exploration and analysis, turning notebooks into production dashboards, AI-assisted code generation and data visualization, team-based data science projects, scheduled notebook execution for automated reporting
Frequently Asked Questions about Deepnote
How does Deepnote compare to Jupyter notebooks?
Deepnote provides a cloud-hosted, collaborative notebook experience built on top of the Jupyter ecosystem. It adds real-time co-editing, AI copilot features, built-in integrations, scheduling, and the ability to publish notebooks as apps, eliminating the setup and isolation issues of traditional Jupyter.
Is the AI copilot included in the free plan?
Yes, Deepnote includes AI copilot capabilities across all plans, including the free tier. The AI can help generate code, create visualizations, and answer questions about your data.
Can Deepnote connect to my existing data infrastructure?
Yes, Deepnote integrates with databases (PostgreSQL, MySQL, MongoDB, BigQuery, Snowflake), cloud storage (S3, GCS), version control (GitHub, GitLab), and other data tools, allowing you to work with your existing infrastructure.
Pricing
freemium
Free (Team: $59/editor/mo)
Free tier: 3 editors, 5 projects, basic compute
Details
APIYes
Open SourceNo
CollaborationYes
LanguagesEnglish
Learning CurveEasy
Integrations
GitHubGitLabPostgreSQLBigQuerySnowflake+3 more
