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

Husprey

A screenshot of Husprey

Husprey provides a SQL data workspace designed for Data Analytics teams. Collaborate, analyze and share within your data team and with Business teams.

WebsiteAlternatives

Husprey capabilities

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

What kind of data sources can you connect to?

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

What kind of data visualization can you do?

UI for building charts

Reactivity

Unknown

Notebook scheduling

Notebook scheduling is built in

Management

Reproducibility

Unknown

Version history

Version history is built in

Collaborative editing

Multiple editors, one at a time (asynchronous)

Comments

Comment on items within a notebook

Notebook organization

View notebooks in a list

Licensing

License

Proprietary

Price

Free tier
Pay-per-user

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Data Science Notebooks

Popular notebook tools

DeepnoteGoogle ColabHexJupyterJetbrains DataloreSagemaker

Popular notebook comparisons

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Notebook tools by feature

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