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