Jupyter vs. Count

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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Count

Logo of Count

The BI notebook built for analysts. Simplify your workflow, collaborate with others and create the analysis your company craves in record time.

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Jupyter Count
License Open Source Proprietary
Ease of setup Local (easy) or on a server (hard) Fully managed
Native integrations N/A Data stores
Collaboration Using git Real-time
Versioning Using git No
Reproducibility Problematic OK (only SQL)
Notebooks as products Plugins & python packages Shared reports