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

Mode Notebooks vs Count

Comparing two data science notebooks.

Mode Notebooks

Count

A screenshot of Mode Notebooks

Native R & Python Notebooks. From SQL, explore your analysis using R or Python Notebooks.

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.

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
R
Python

Programming languages

SQL

What kind of data sources can you connect to?

Connect to databases (MariaDB, PostgreSQL, etc.)
Connect to data warehouses (Amazon Redshift, Google BigQuery, 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

Environments are reproducible by default

Reproducibility

Unknown

Version history

No version history

Version history

Version history is built in

Collaborative editing

Multiple editors, one at a time (asynchronous)

Collaborative editing

Multiple editors at the same time

Comments

No support for comments

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

Unknown

Price

Free tier
Pay-per-user

Alternatives to Mode Notebooks and Count

Compare Mode Notebooks and Count with other data science notebook tools.

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Mode Notebooks
Fully managedNoneSQL, R, PythonVisualization UI builderFile-based or asynchronous collaborationUnknownProprietary
Count
Fully managedNoneSQLVisualization UI builderRealtime collaborationFree and paid optionsProprietary
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Data Science Notebooks

Popular notebook tools

DeepnoteGoogle ColabHexJupyterJetbrains DataloreSagemaker