Observable 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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Observable

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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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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Observable Count
License Proprietary Proprietary
Ease of setup In the browser Fully managed
Native integrations No Data stores
Collaboration Asynchronous Real-time
Versioning No No
Reproducibility Environment, reactivity OK (only SQL)
Notebooks as products Interactive applications Shared reports