Deepnote reimagines the Jupyter notebook for teams. Several people can edit a notebook at once, comment on cells, and run code on managed cloud machines without setup. It connects to data sources such as Snowflake, BigQuery, and Postgres, and supports SQL blocks alongside Python, so analysts can mix queries and analysis.
Results are easy to share. Notebooks can be published as interactive apps or dashboards with inputs, charts can be built without code, and scheduled runs keep outputs fresh. Version history and permissions help with team workflows, and it works with common libraries and Jupyter files.
An AI agent in the notebook can write code, explain errors, build charts, and explore data from natural language requests. Deepnote has a free tier and paid plans for teams, with enterprise controls. Alternatives include Hex, Jupyter, Google Colab, Databricks notebooks, and Observable. Deepnote suits data teams who collaborate on analysis.