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

Kaggle vs Polynote

Comparing two data science notebooks.

Kaggle

Polynote

A screenshot of Kaggle

Explore and run machine learning code with Kaggle Notebooks, a cloud computational environment that enables reproducible and collaborative analysis.

WebsiteAlternatives
A screenshot of Polynote

Polynote is a different kind of notebook. It supports mixing multiple languages in one notebook, and sharing data between them seamlessly. It encourages reproducible notebooks with its immutable data model.

WebsiteAlternatives

Setup

Is it managed?

Fully managed (setup in minutes)

Is it managed?

No, you must host it yourself

Can you self-host?

No, you must use a managed offering

Can you self-host?

You can self-host (setup in hours)

Features

Is it Jupyter compatible?

Jupyter-compatible

Is it Jupyter compatible?

Not Jupyter-compatible

Programming languages

Jupyter languages (e.g. Python, R)

Programming languages

Scala
Python

What kind of data sources can you connect to?

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

What kind of data sources can you connect to?

Unknown

What kind of data visualization can you do?

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

What kind of data visualization can you do?

Unknown

Reactivity

No reactivity, you decide the execution order

Reactivity

No reactivity, you decide the execution order

Notebook scheduling

Limited scheduling capabilities

Notebook scheduling

Notebook scheduling with additional tools

Management

Reproducibility

Environments are reproducible by default

Reproducibility

With effort, you can make reproducible environments

Version history

Version history is built in

Version history

File-based (use Git)

Collaborative editing

No support for collaborative editors

Collaborative editing

File-based (use Git)

Comments

Comment on a notebook as a whole

Comments

File-based (use GitHub)

Notebook organization

View notebooks in a list

Notebook organization

File-based

Licensing

License

Proprietary

License

Open-source (Apache 2.0)

Price

Free

Price

Free

Alternatives to Kaggle and Polynote

Compare Kaggle and Polynote with other data science notebook tools.

ToolSetupJupyter compatibilityProgramming languagesData visualizationCollaborative editingPricingLicense
Kaggle		Fully managedJupyter-compatibleJupyterVisualize with codeLimited collaborationFreeProprietary
Polynote		Self-hostedNoneScala, PythonUnknownFile-based or asynchronous collaborationFreeOpen source
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Zepl
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Data Science Notebooks

Popular notebook tools

DeepnoteGoogle ColabHexJupyterJetbrains DataloreSagemaker

Popular notebook comparisons

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Notebook tools by feature

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