Jupyter vs. Observable

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 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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Logo of Observable

Make sense of the world with data, together. Explore, visualize, and analyze data. Collaborate with the community. Learn and be inspired. Share insights with the world.

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Jupyter Observable
License Open Source Proprietary
Ease of setup Local (easy) or on a server (hard) In the browser
Native integrations N/A No
Collaboration Using git Asynchronous
Versioning Using git No
Reproducibility Problematic Environment, reactivity
Notebooks as products Plugins & python packages Interactive applications