Deepnote
Collaborative Jupyter notebooks with built-in AI in the cloud
Deepnote modernizes Jupyter with real-time collaboration, built-in AI and automatic visualizations. Perfect for data science teams.
Deepnote is an artificial intelligence tool in the Data & Analytics category, developed by Deepnote and launched in 2019. Deepnote modernizes Jupyter with real-time collaboration, built-in AI and automatic visualizations. Perfect for data science teams. Key features include: Cloud Jupyter notebooks, Real-time collaboration, Built-in AI, Auto visualizations, Native SQL, Data warehouse integrations. The tool is available on web with a freemium pricing model.
💰 Pricing
✨ Features
🎯 Use Cases
- Collaborative data science
- Data exploration
- Reporting
- Data training
⚖️ Pros & Cons
👍 Pros
- Very generous free plan — unlimited notebooks and real-time collaboration without a credit card
- Google Docs-style native collaboration — multiple data scientists work simultaneously on the same notebook
- Modern and intuitive interface — much more pleasant than classic Jupyter, with AI-powered auto-completion
- Native SQL built in — connect to your data warehouses and mix SQL and Python in the same notebook
- Automatic visualizations — charts generated without code from your DataFrames
👎 Cons
- Less powerful than Databricks for large-scale ML — designed for analysis, not production deployment
- Limited GPU even on paid plans — not suitable for training deep learning models
- Advanced features (scheduling, environment variables) restricted to paid plans — the free tier has its limits
🏆 Verdict
In summary, Deepnote stands out in the data & analytics AI landscape thanks to its strengths: very generous free plan — unlimited notebooks and real-time collaboration without a credit card, google docs-style native collaboration — multiple data scientists work simultaneously on the same notebook, modern and intuitive interface — much more pleasant than classic jupyter, with ai-powered auto-completion. However, some users note: less powerful than databricks for large-scale ml — designed for analysis, not production deployment, limited gpu even on paid plans — not suitable for training deep learning models. If you're looking for alternatives, you can compare Deepnote with Databricks AI, Hex, Julius AI. Our overall rating: 4.3/5.
ℹ️ Information
| Company | Deepnote |
|---|---|
| Launched | 2019 |
| Platforms | WEB |
| Category | Data & Analytics |
| Site | https://deepnote.com |