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

Count vs Husprey

Comparing two data science notebooks.

Count

Husprey

A screenshot of Count

Count helps your data team work closer with the business so everyone is working on the problems that matter. Fast.

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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

SQL

Programming languages

SQL

What kind of data sources can you connect to?

Connect to data warehouses (AWS, GCP, etc.)
Connect to databases (Postgres, MongoDB, etc.)

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?

UI for building charts

What kind of data visualization can you do?

UI for building charts

Reactivity

Unknown

Reactivity

Unknown

Notebook scheduling

No notebook scheduling

Notebook scheduling

Notebook scheduling is built in

Management

Reproducibility

Unknown

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
Pay-per-user

Price

Free tier
Pay-per-user

Alternatives to Count and Husprey

Compare Count and Husprey with other data science notebook tools.

ToolSetupJupyter compatibilityProgramming languagesData visualizationCollaborative editingPricingLicense
Count		Fully managedNoneSQLVisualization UI builderRealtime collaborationFree and paid optionsProprietary
Husprey		Fully managedNoneSQLVisualization UI builderFile-based or asynchronous collaborationFree and paid optionsProprietary
Jupyter
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Count, Husprey
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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