Deepnote vs. Jupyter

The comparison of the two data science notebooks. Both of them are great tools!

The table below summarizes some of the main differences.

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Logo of Deepnote

Deepnote is a new kind of data science notebook. Jupyter-compatible with real-time collaboration and running in the cloud. Oh, and it's free.

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Logo of Jupyter

Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. There's a number of vendors offering Jupyter notebooks as a managed service.

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Deepnote Jupyter
License Proprietary Open Source
Ease of setup Fully managed Local (easy) or on a server (hard)
Native integrations Many N/A
Collaboration Real-time Using git
Versioning Native Using git
Reproducibility Environment, reactivity Problematic
Notebooks as products Interactive applications, scheduled runs, articles Plugins & python packages