Alternatives

Best Kaggle alternatives in 2026

Kaggle is free cloud notebooks and open datasets for data science. These 11 alternatives come from the same rankings, ordered by editorial score. Connected products carry a small, disclosed lift.

11 alternatives From best data science notebooks, best open data portals and dataset libraries How we rank

Ranked alternatives

  1. 1

    JupyterLab

    Is open source; also runs on Windows, macOS, Linux. The open-source standard for notebooks, free under BSD-3-Clause and extensible. It needs a local Python setup and your own hardware, and multi-user hosting needs JupyterHub.

    Best for Full control of a local or self-hosted notebook setup

    WindowsmacOSLinuxWebFree and open sourceOpen source

  2. 2

    Our World in Data

    Charts and data on many global topics, openly licensed under CC BY and written for general readers. It is a curated selection rather than every official dataset, and it asks readers for donations.

    Best for Sourced charts on global topics for readers and writers

    WebFree

  3. 3

    Google Colab

    Hosted Jupyter notebooks with free GPU and TPU access within usage limits, plus Pro and Pro+ plans for more compute. Limits are not guaranteed, so long or fixed-schedule jobs need a more predictable service.

    Best for Machine learning practice and quick GPU experiments

    WebFree plan, paid upgrades

  4. 4

    World Bank Open Data

    Free access to the World Development Indicators and other global data, with most datasets under CC BY 4.0. Some datasets carry other licenses, so each label needs checking before reuse.

    Best for Cross-country development indicators

    WebFree

  5. 5

    Eurostat

    Official statistics for the EU and its member states, with free re-use under its copyright notice. Its tables take time to learn, and it is less direct for quick charts than dashboard tools.

    Best for Official European statistics for research and reporting

    WebFree

  6. 6

    Deepnote

    Collaborative notebooks in the browser, with scheduled notebooks, revision history and AI credits on paid plans. The free plan stops sessions after 15 minutes of inactivity, and paid plans charge per editor.

    Best for Data teams that share notebooks and schedule runs

    WebFree plan, paid upgrades

  7. 7

    Data.gov

    The official portal for U.S. federal open data, with the catalog, metrics and federal source code repositories in one place. It covers federal data only, and formats vary by agency.

    Best for U.S. federal datasets and agency data

    WebFree

  8. 8

    Hex

    Notebooks that publish as apps, with an AI agent and a free Community plan. Team costs $75 per editor a month, and larger compute sizes are billed by the minute.

    Best for Turning analysis into shared apps

    WebFree plan, paid upgrades

  9. 9

    YJTOON*

    185 CC0 reference datasets served as JSON, YAML or TOON from one URL, with no signup or API key. The collection is small and covers reference tables rather than statistics or live feeds.

    Best for Developers who need reference tables in code

    WebFree

  10. 10

    marimo

    Is open source. A reactive Python notebook stored as plain Python, so Git diffs and reuse as a module work well. Its format is not Jupyter's, and the run order follows dependencies, which takes adjusting.

    Best for Reproducible Python notebooks in Git

    WebFree and open sourceOpen source

  11. 11

    Hugging Face

    A large hub of community-uploaded datasets with license filters, alongside models and papers. Quality and licenses differ for each upload, so the dataset card matters more than the platform.

    Best for Machine learning datasets with license filters

    WebFree plan, paid upgrades

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About Kaggle alternatives

What is the best alternative to Kaggle?
On listme.name the highest-scored alternative is JupyterLab, followed by Our World in Data. The right choice depends on price, platform and whether you need open source.
Is there a free alternative to Kaggle?
Yes. Free options include JupyterLab, Our World in Data, Google Colab.

Made by, or connected to, the publisher of this site or people the publisher works with. Listed on the same criteria as everything else, with the lift described in How we rank and Disclosure.