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.

View all notebooks

Querybook

A screenshot of Querybook

Querybook is Pinterest’s open-source big data IDE via a notebook interface.

WebsiteAlternatives

Querybook capabilities

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

Python

What kind of data sources can you connect to?

Connect to data warehouses (Snowflake, Google BigQuery, etc.)
Connect to databases (PostgreSQL, MySQL, etc.)

What kind of data visualization can you do?

UI for building charts

Reactivity

No reactivity, you decide the execution order

Notebook scheduling

Notebook scheduling is built in

Management

Reproducibility

With effort, you can make reproducible environments

Version history

No version history

Collaborative editing

Multiple editors at the same time

Comments

No support for comments

Notebook organization

Unknown

Licensing

License

Open-source (Apache 2.0)

Price

Free

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Data Science Notebooks

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