Jupyter vs. Deepnote

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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Jupyter

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

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