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

Zepl

A screenshot of Zepl

Notebook-powered analytics for enterprise teams.

WebsiteAlternatives

Zepl capabilities

Setup

Is it managed?

Fully managed (setup in hours)

Can you self-host?

No, you must use a managed offering

Features

Is it Jupyter compatible?

Unknown

Programming languages

Python
R

What kind of data sources can you connect to?

Unknown

What kind of data visualization can you do?

Unknown

Reactivity

Unknown

Notebook scheduling

Notebook scheduling is built in

Management

Reproducibility

Environments are reproducible by default

Version history

Version history is built in

Collaborative editing

Multiple editors at the same time

Comments

Comment on items within a notebook

Notebook organization

Unknown

Licensing

License

Proprietary

Price

Unknown

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Data Science Notebooks

Popular notebook tools

DeepnoteGoogle ColabHexJupyterJetbrains DataloreSagemaker

Popular notebook comparisons

Deepnote vs HexGoogle Colab vs VS CodeDeepnote vs Google ColabJupyter vs HexGoogle Colab vs Jetbrains DataloreJupyter vs Deepnote

Notebook tools by feature

Jupyter notebooks onlineScheduling Jupyter notebooksRealtime collaboration in Jupyter notebooksVersion control in Jupyter notebooksComments in Jupyter notebooksOpen source notebooks