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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.

Zeppelin vs Noteable

Comparing two data science notebooks.

Zeppelin

Noteable

A screenshot of Zeppelin

Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.

WebsiteAlternatives
A screenshot of Noteable

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

WebsiteAlternatives

Setup

Is it managed?

No, you must host it yourself

Is it managed?

Fully managed (setup in hours)

Can you self-host?

You can self-host (setup in hours)

Can you self-host?

Unknown

Features

Is it Jupyter compatible?

Not Jupyter-compatible

Is it Jupyter compatible?

Jupyter-compatible

Programming languages

Python
SQL
Spark

Programming languages

Jupyter languages (e.g. Python, R)

What kind of data sources can you connect to?

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?

Unknown

What kind of data visualization can you do?

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

Reactivity

No reactivity, you decide the execution order

Reactivity

Unknown

Notebook scheduling

Notebook scheduling is built in

Notebook scheduling

Notebook scheduling is built in

Management

Reproducability

With effort, you can make reproducible environments

Reproducability

Environments are reproducible by default

Version history

File-based (use Git)

Version history

Unknown

Collaborative editing

File-based (use Git)
Multiple editors, one at a time (asynchronous)

Collaborative editing

Multiple editors at the same time

Comments

File-based (use GitHub)

Comments

Unknown

Notebook organization

File-based

Notebook organization

Unknown

Licensing

License

Open-source (Apache 2.0)

License

Proprietary

Price

Free

Price

Unknown

Alternatives to Zeppelin and Noteable

Compare Zeppelin and Noteable with other data science notebook tools.

ToolSetupJupyter compatibilityProgramming languagesData visualizationCollaborative editingPricingLicense
Zeppelin		Self-hostedNonePython, SQL, SparkUnknownFile-based or asynchronous collaborationFreeOpen source
Noteable		UnknownJupyter-compatibleJupyterVisualize with codeUnknownUnknownProprietary
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