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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.

nteract vs Pluto.jl

Comparing two data science notebooks.

nteract

Pluto.jl

A screenshot of nteract

nteract is an open-source organization committed to creating fantastic interactive computing experiences that allow people to collaborate with ease.

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.

WebsiteAlternatives

Setup

Is it managed?

No, you must host it yourself

Is it managed?

No, you must host it yourself

Can you self-host?

You can self-host (setup in minutes)

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)

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

Notebook scheduling with additional tools

Notebook scheduling

No notebook scheduling

Management

Reproducability

With effort, you can make reproducible environments

Reproducability

Execution is reproducible by default

Version history

File-based (use Git)

Version history

File-based (use Git)

Collaborative editing

File-based (use Git)

Collaborative editing

File-based (use Git)

Comments

File-based (use GitHub)

Comments

File-based (use GitHub)

Notebook organization

File-based

Notebook organization

File-based

Licensing

License

Open-source (BSD 3-Clause)

License

Open-source (MIT)

Price

Free

Price

Free

Alternatives to nteract and Pluto.jl

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

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nteract		Self-hostedJupyter-compatibleJupyterVisualize with codeFile-based or asynchronous collaborationFreeOpen source
Pluto.jl		Self-hostedNoneJuliaUnknownFile-based or asynchronous collaborationFreeOpen source
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