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Data Science Notebooks

Data science gets done in notebooks. This website exists to compare the features in different data science notebook tools.

Robert Lacok
About the author

My name is Robert Lacok, and I’m a data notebook enthusiast. Because I keep on top of the latest developments in the space, I wanted to share it with the world.

I’m also a product manager at Deepnote. I try to be unbiased — if you believe any tools are missing or misrepresented, please email me or open a pull request on GitHub.

Need help?

If you need help picking a data notebook for your next project, feel free to reach out to me at my personal email address. I’d be happy to chat about the pros and cons of each solution.

Polynote

A screenshot of Polynote

Polynote is a different kind of notebook. It supports mixing multiple languages in one notebook, and sharing data between them seamlessly. It encourages reproducible notebooks with its immutable data model.

WebsiteAlternatives

Setup

Is it managed?

No, you must host it yourself

Can you self-host?

You can self-host (setup in hours)

Features

Is it Jupyter compatible?

Not Jupyter-compatible

Programming languages

Scala
Python

What kind of data sources can you connect to?

Unknown

What kind of data visualization can you do?

Unknown

Reactivity

No reactivity, you decide the execution order

Notebook scheduling

Notebook scheduling with additional tools

Management

Reproducability

With effort, you can make reproducible environments

Version history

File-based (use Git)

Collaborative editing

File-based (use Git)

Comments

File-based (use GitHub)

Notebook organization

File-based

Licensing

License

Open-source (Apache 2.0)

Price

Free

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Data Science Notebooks

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