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

Observable vs Husprey

Comparing two data science notebooks.

Observable

Husprey

A screenshot of Observable

Make sense of the world with data, together. Explore, visualize, and analyze data. Collaborate with the community. Learn and be inspired. Share insights with the world.

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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.

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Setup

Is it managed?

Fully managed (setup in minutes)

Is it managed?

Fully managed (setup in minutes)

Can you self-host?

No, you must use a managed offering

Can you self-host?

No, you must use a managed offering

Features

Is it Jupyter compatible?

Not Jupyter-compatible

Is it Jupyter compatible?

Not Jupyter-compatible

Programming languages

JS

Programming languages

SQL

What kind of data sources can you connect to?

Connect with JS libraries (e.g. REST APIs)
Connect to databases (MySQL, Postgres)
Connect to data warehouses (BigQuery, Snowflake)
Provided file storage

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?

JS data visualization (e.g. D3, Vega)

What kind of data visualization can you do?

UI for building charts

Reactivity

Full, realtime reactivity

Reactivity

Unknown

Notebook scheduling

No notebook scheduling

Notebook scheduling

Notebook scheduling is built in

Management

Reproducibility

Environments are reproducible by default
Execution is reproducible by default

Reproducibility

Unknown

Version history

Version history is built in

Version history

Version history is built in

Collaborative editing

Multiple editors at the same time

Collaborative editing

Multiple editors, one at a time (asynchronous)

Comments

Comment on items within a notebook

Comments

Comment on items within a notebook

Notebook organization

View notebooks in a list

Notebook organization

View notebooks in a list

Licensing

License

Proprietary

License

Proprietary

Price

Free tier
Free trial (1 month)
Pay-per-user

Price

Free tier
Pay-per-user

Alternatives to Observable and Husprey

Compare Observable and Husprey with other data science notebook tools.

ToolSetupJupyter compatibilityProgramming languagesData visualizationCollaborative editingPricingLicense
Observable		Fully managedNoneJSVisualize with codeRealtime collaborationFree and paid optionsProprietary
Husprey		Fully managedNoneSQLVisualization UI builderFile-based or asynchronous collaborationFree and paid optionsProprietary
Jupyter
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Observable, Husprey
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Amazon Sagemaker
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Observable, Husprey
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Google Colab
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Observable, Husprey
Fully managedJupyter-compatibleJupyterVisualize with codeLimited collaborationFree and paid optionsProprietary
Deepnote
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Observable, Husprey
Fully managedJupyter-compatibleJupyter, SQLVisualize with code or UIRealtime collaborationFree and paid optionsProprietary
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Fully managedUnknownPython, RUnknownRealtime collaborationUnknownProprietary

Data Science Notebooks

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Notebook tools by feature

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