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

nteract vs VS Code

Comparing two data science notebooks.

nteract

VS Code

A screenshot of nteract

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

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A screenshot of VS Code

Visual Studio Code is a lightweight but powerful source code editor. It supports working with Jupyter Notebooks natively, as well as through Python code files.

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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?

Jupyter-compatible

Programming languages

Jupyter languages (e.g. Python, R)

Programming languages

Jupyter languages (e.g. Python, R)

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?

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

What kind of data visualization can you do?

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

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

No reactivity, you decide the execution order

Notebook scheduling

Notebook scheduling with additional tools

Notebook scheduling

Notebook scheduling with additional tools

Management

Reproducibility

With effort, you can make reproducible environments

Reproducibility

There is no support for reproducibility

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 VS Code

Compare nteract and VS Code with other data science notebook tools.

ToolSetupJupyter compatibilityProgramming languagesData visualizationCollaborative editingPricingLicense
nteract		Self-hostedJupyter-compatibleJupyterVisualize with codeFile-based or asynchronous collaborationFreeOpen source
VS Code		Self-hostedJupyter-compatibleJupyterVisualize with codeFile-based or asynchronous collaborationFreeOpen source
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Data Science Notebooks

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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