Deepnote is a modern data workspace built around collaboration, interactivity and AI assistance. It combines Jupyter-style notebooks with features like real-time editing, version control, scheduling, data apps and deep integrations with data sources. Deepnote supports multiple languages (Python, SQL, R), lets you turn notebooks into interactive apps or dashboards and enables teams to scale data projects faster with shared environments and AI tooling. Deepnote’s AI agents (e.g. Deepnote Agent) bring GPT-style assistance directly into your notebook - helping generate, explain, refactor, or debug code in context while you work.
🌐 Website: https://deepnote.com/
💡 Key Insight: Deepnote's real-time collaboration and AI code assistance make it far more than a cloud Jupyter replacement — it is a complete data team environment in a browser tab.
Deepnote has clear strengths and limitations worth knowing before committing. Explore all features →
| AI Tool | Primary Use | Collaboration | AI Assistance | Best For | Unique Strength |
|---|---|---|---|---|---|
| Deepnote | Data science notebooks | Real-time teamwork | GPT-powered coding | Data science education | Collaborative notebooks |
| Jupyter Notebook | Interactive coding | Local sharing | Extensions only | Individual learning | Open-source ecosystem |
| Kaggle | ML experimentation | Community sharing | AI coding support | Machine learning | Kaggle datasets |
| Hex | Analytics workspace | Team collaboration | AI analytics | Business analytics | SQL + Python workflow |
| Databricks | Data engineering | Enterprise collaboration | AI-assisted development | Enterprise learning | Unified data platform |
Pricing sourced from the official website. Confirm at https://deepnote.com/ →
| Plan Name | Pricing | Key Features | Best For | Type |
|---|
Deepnote has firmly established itself as the leading collaborative data notebook platform. Its real-time collaboration, AI code assistance and seamless data integrations make it significantly more capable than Jupyter for team environments.
The cost scales quickly for larger teams and the platform is best appreciated by data science and research communities. For any team or institution working with data, it is an excellent investment.
Disclosure: All opinions and reviews are entirely our own.
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Have you used Deepnote? Share your experience to help others decide.
Our data team moved from Jupyter notebooks to Deepnote six months ago and we have not looked back. Real-time collaboration alone saved us hours of version control headaches every week.
The AI code assistance is genuinely useful — it caught a SQL logic error that cost me a week last quarter. The Team plan pricing adds up for larger teams though.
I run data science workshops at a university and Deepnote has transformed how students submit and collaborate on assignments. The ability to see everyone editing live is a game-changer for teaching.