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

Jupyter vs Husprey

Comparing two data science notebooks.

Jupyter

Husprey

A screenshot of Jupyter

Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. There's a number of vendors offering Jupyter notebooks as a managed service.

WebsiteAlternatives
A screenshot of Husprey

Husprey provides a SQL data workspace designed for Data Analytics teams. Collaborate, analyze and share within your data team and with Business teams.

WebsiteAlternatives

Setup

Is it managed?

No, you must host it yourself

Is it managed?

Fully managed (setup in minutes)

Can you self-host?

You can self-host (setup in hours)

Can you self-host?

No, you must use a managed offering

Features

Is it Jupyter compatible?

Jupyter-compatible

Is it Jupyter compatible?

Not Jupyter-compatible

Programming languages

Jupyter languages (e.g. Python, R)

Programming languages

SQL

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 to data warehouses (Google BigQuery, ClickHouse, etc.)
Connect to databases (PostgreSQL)

What kind of data visualization can you do?

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

What kind of data visualization can you do?

UI for building charts

Reactivity

No reactivity, you decide the execution order

Reactivity

Unknown

Notebook scheduling

Notebook scheduling with additional tools

Notebook scheduling

Notebook scheduling is built in

Management

Reproducibility

With effort, you can make reproducible environments

Reproducibility

Unknown

Version history

File-based (use Git)

Version history

Version history is built in

Collaborative editing

File-based (use Git)

Collaborative editing

Multiple editors, one at a time (asynchronous)

Comments

File-based (use GitHub)

Comments

Comment on items within a notebook

Notebook organization

File-based

Notebook organization

View notebooks in a list

Licensing

License

Open-source (BSD)

License

Proprietary

Price

Free

Price

Free tier
Pay-per-user

Alternatives to Jupyter and Husprey

Compare Jupyter and Husprey with other data science notebook tools.

ToolSetupJupyter compatibilityProgramming languagesData visualizationCollaborative editingPricingLicense
Jupyter		Self-hostedJupyter-compatibleJupyterVisualize with codeFile-based or asynchronous collaborationFreeOpen source
Husprey		Fully managedNoneSQLVisualization UI builderFile-based or asynchronous collaborationFree and paid optionsProprietary
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Data Science Notebooks

Popular notebook tools

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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