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

CoCalc vs Pluto.jl

Comparing two data science notebooks.

CoCalc

Pluto.jl

A screenshot of CoCalc

Your best choice for teaching remote scientific courses.

WebsiteAlternatives
A screenshot of Pluto.jl

Writing a notebook is not just about writing the final document — Pluto empowers the experiments and discoveries that are essential to getting there.

Setup

Is it managed?

Fully managed (setup in minutes)

Is it managed?

No, you must host it yourself

Can you self-host?

You can self-host (setup in hours)

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

Julia

What kind of data sources can you connect to?

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

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

Full, realtime reactivity

Notebook scheduling

No notebook scheduling

Notebook scheduling

No notebook scheduling

Management

Reproducibility

Environments are reproducible by default

Reproducibility

Execution is reproducible by default

Version history

Version history is built in

Version history

File-based (use Git)

Collaborative editing

Multiple editors at the same time

Collaborative editing

File-based (use Git)

Comments

No support for comments

Comments

File-based (use GitHub)

Notebook organization

View notebooks in a list

Notebook organization

File-based

Licensing

License

Open-source (GNU AGPLv3)

License

Open-source (MIT)

Price

Free tier
Pay for compute

Price

Free

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Compare CoCalc and Pluto.jl with other data science notebook tools.

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Pluto.jl
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