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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.

Noteable

A screenshot of Noteable

Noteable is a collaborative notebook platform that enables teams to use and visualize data, together.

WebsiteAlternatives

Setup

Is it managed?

Fully managed (setup in hours)

Can you self-host?

Unknown

Features

Is it Jupyter compatible?

Jupyter-compatible

Programming languages

Jupyter languages (e.g. Python, R)

What kind of data sources can you connect to?

Connect with Jupyter libraries (e.g. SQLAlchemy, psycopg2)

What kind of data visualization can you do?

Jupyter data visualization (e.g. Matplotlib, Altair, Plotly)

Reactivity

Unknown

Notebook scheduling

Notebook scheduling is built in

Management

Reproducability

Environments are reproducible by default

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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