View all notebooks

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.

Count

Count helps your data team work closer with the business so everyone is working on the problems that matter. Fast.

WebsiteAlternatives

Setup

Is it managed?

Fully managed (setup in minutes)

Can you self-host?

No, you must use a managed offering

Features

Is it Jupyter compatible?

Not Jupyter-compatible

Programming languages

SQL
Python

What kind of data sources can you connect to?

Unknown

What kind of data visualization can you do?

UI for building charts

Reactivity

Unknown

Notebook scheduling

No notebook scheduling

Management

Reproducability

Unknown

Version history

Unknown

Collaborative editing

Multiple editors at the same time

Comments

Unknown

Notebook organization

Unknown

Licensing

License

Proprietary

Price

Unknown

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Data Science Notebooks

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