Cleanlab provides a Python library for data quality and machine learning with messy real world data and labels.
Open source
24 alternativesDeepnote
An AI-first alternative to Jupyter, Deepnote supports Python, R, and SQL, with local IDE use, cloud collaboration, and data apps.
About Deepnote
Deepnote is an open-source data notebook that the project describes as a drop-in replacement for Jupyter, with an AI-first design and support for Python, R, and SQL. It uses the Deepnote kernel, which is described as backwards compatible with Jupyter, and stores projects in a human-readable .deepnote YAML format instead of .ipynb JSON. Notebooks can be edited and run locally in VS Code, Cursor, or Windsurf through provided extensions, and converted between .ipynb and .deepnote formats with the @deepnote/convert CLI.
Cloud features are separate: real-time collaboration, the Deepnote agent, and deployable data apps are reached by moving a project into Deepnote Cloud. The repository lists a roadmap for running the Deepnote Cloud UI locally, a local AI agent, bring-your-own-keys for AI services, and running your own compute; those items are described as forthcoming rather than available. The repository states that Deepnote is used by more than 500,000 data professionals, and pricing is not stated in the source.
Key features
- Python, R, and SQL support with a Jupyter-compatible Deepnote kernel
- Human-readable .deepnote YAML files in place of .ipynb JSON
- Block architecture for code, SQL, inputs, and charts
- Reactive execution re-runs dependent blocks when inputs or data change
- Extensions for VS Code, Cursor, and Windsurf editors
- CLI conversion between .ipynb and .deepnote projects
Best for: Data professionals and teams who want to work in local notebooks and AI-native editors while keeping a path to cloud collaboration and deployable data apps.
Good for
- Jupyter-compatible kernel allows moving between Deepnote and existing Jupyter notebooks
- Open-source packages, docs, and examples accompany the notebook tooling
- Repository states it is used by over 500,000 data professionals
Watch out for
- A local UI, local AI agent, bring-your-own-keys support, and own compute are roadmap items, not current features
- Real-time collaboration, the Deepnote agent, and deployable data apps require Deepnote Cloud
- Pricing is not stated in the repository
Deepnote at a glance
- Website
- github.com/deepnote/deepnote
- Category
- AI & Machine Learning › AI Data & Analytics
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Deepnote FAQ
Does Deepnote work with existing Jupyter notebooks?
The Deepnote kernel is described as backwards compatible with Jupyter, and the @deepnote/convert CLI converts .ipynb notebooks into .deepnote projects and back.
Can I run Deepnote locally?
Yes. The open-source Deepnote Toolkit and the VS Code, Cursor, and Windsurf extensions let you edit and run notebooks locally in your editor.
Which features need Deepnote Cloud?
Real-time collaboration, the Deepnote agent, and deployable data apps are cloud features; the repository describes dragging and dropping a project into Deepnote Cloud to use them.
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