Deepnote is a data science notebook designed for teams that need to explore data, build models, and share insights in one collaborative workspace. It combines a notebook environment with real-time collaboration, data source integrations, and AI assistance that understands your business context and data stack. Deepnote can query, analyze, and interpret data, generate or refactor code, and help debug issues, while running entirely in the browser. It is built for data scientists, analysts, and analytics engineers who want reproducible workflows, transparent AI support, and easier sharing of dashboards and reports without managing infrastructure.
Real-time notebook co-editing feels like Google Docs.
Commenting and block-level links streamline code reviews.
Intuitive UI helps non-developers run data projects.
Seamless SQL and Python in one workspace.
AI assistant generates runnable code from prompts.
Strong for teaching, interviews, and data workshops.
Page sometimes jumps when many users edit simultaneously.
Users mention reloads needed to fix visual outputs.
Built-in chart cells feel limited and immature.
Interface polish trails some competing notebook platforms.
