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

Querybook vs Count

Comparing two data science notebooks.

Querybook

Count

A screenshot of Querybook

Querybook is Pinterest’s open-source big data IDE via a notebook interface.

WebsiteAlternatives
A screenshot of Count

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

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?

Not Jupyter-compatible

Is it Jupyter compatible?

Not Jupyter-compatible

Programming languages

Python

Programming languages

SQL

What kind of data sources can you connect to?

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

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 visualization can you do?

UI for building charts

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 is built in

Notebook scheduling

No notebook scheduling

Management

Reproducibility

With effort, you can make reproducible environments

Reproducibility

Unknown

Version history

No version history

Version history

Version history is built in

Collaborative editing

Multiple editors at the same time

Collaborative editing

Multiple editors at the same time

Comments

No support for comments

Comments

Comment on items within a notebook

Notebook organization

Unknown

Notebook organization

View notebooks in a list

Licensing

License

Open-source (Apache 2.0)

License

Proprietary

Price

Free

Price

Free tier
Pay-per-user

Alternatives to Querybook and Count

Compare Querybook and Count with other data science notebook tools.

ToolSetupJupyter compatibilityProgramming languagesData visualizationCollaborative editingPricingLicense
Querybook		Self-hostedNonePythonVisualization UI builderRealtime collaborationFreeOpen source
Count		Fully managedNoneSQLVisualization UI builderRealtime collaborationFree and paid optionsProprietary
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Querybook, Count
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