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

Jetbrains Datalore vs Kaggle

Comparing two data science notebooks.

Jetbrains Datalore

Kaggle

A screenshot of Jetbrains Datalore

A powerful online environment for Jupyter notebooks. Use smart coding assistance for Python in online Jupyter notebooks, run code on powerful CPUs and GPUs, collaborate in real-time, and easily share the results.

WebsiteAlternatives
A screenshot of Kaggle

Explore and run machine learning code with Kaggle Notebooks, a cloud computational environment that enables reproducible and collaborative analysis.

WebsiteAlternatives

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?

Jupyter-compatible

Is it Jupyter compatible?

Jupyter-compatible

Programming languages

Jupyter languages (e.g. Python, R)

Programming languages

Jupyter languages (e.g. Python, R)

What kind of data sources can you connect to?

Connect with Jupyter libraries (e.g. SQLAlchemy, psycopg2)
Connect to databases (MySQL, PostgreSQL)
Connect to data warehouses (Snowflake, etc.)
Provided file storage

What kind of data sources can you connect to?

Connect with Jupyter libraries (e.g. SQLAlchemy, psycopg2)
Kaggle datasets

What kind of data visualization can you do?

Jupyter data visualization (e.g. Matplotlib, Altair, Plotly)
UI for building charts

What kind of data visualization can you do?

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

Reactivity

Full, realtime reactivity

Reactivity

No reactivity, you decide the execution order

Notebook scheduling

Notebook scheduling is built in

Notebook scheduling

Limited scheduling capabilities

Management

Reproducibility

Environments are reproducible by default

Reproducibility

Environments are reproducible by default

Version history

Version history is built in

Version history

Version history is built in

Collaborative editing

Multiple editors at the same time

Collaborative editing

No support for collaborative editors

Comments

Comment on items within a notebook

Comments

Comment on a notebook as a whole

Notebook organization

View notebooks in a tree, like a wiki

Notebook organization

View notebooks in a list

Licensing

License

Proprietary

License

Proprietary

Price

Free tier
Pay-per-user
Pay for compute

Price

Free

Alternatives to Jetbrains Datalore and Kaggle

Compare Jetbrains Datalore and Kaggle with other data science notebook tools.

ToolSetupJupyter compatibilityProgramming languagesData visualizationCollaborative editingPricingLicense
Jetbrains Datalore		Fully managedJupyter-compatibleJupyterVisualize with code or UIRealtime collaborationFree and paid optionsProprietary
Kaggle		Fully managedJupyter-compatibleJupyterVisualize with codeLimited collaborationFreeProprietary
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