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Deepnote is an open-source collaborative data science notebook platform designed as a modern alternative to traditional Jupyter notebooks. The project provides an AI-first computational environment where users can write, analyze, and share code, data, and visualizations in a single integrated workspace. Built on top of the Jupyter kernel ecosystem, it maintains compatibility with existing notebook workflows while introducing additional features focused on collaboration and automation. The system supports programming languages such as Python, R, and SQL and allows users to execute and analyze data directly within interactive notebooks. Deepnote emphasizes team-based data science by enabling real-time collaboration similar to shared document editors, allowing multiple users to work simultaneously on the same notebook environment.
Features
- Reactive notebook execution that automatically updates dependent cells when inputs change
- Support for Python, R, and SQL within the same notebook environment
- Real-time collaborative editing and shared computational sessions
- Integration with IDEs such as VS Code and JupyterLab
- Conversion tools between traditional Jupyter notebooks and Deepnote project format
- Native connections to databases and external data sources
Project Samples
