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AI · alternatives · 2026

DC

Datasets.co is a platform for sharing and discovering machine learning datasets. It allows users to browse and contribute datasets for machine learning projects. The service caters to data scientists, researchers, and… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Datasets.co – Share and discover new machine learning datasets launched in 2016; newer entries below may have overtaken it.

  1. 1

    Making it easier to discover datasets. Made by Google.

    2018 · datasetsearch.research.google.com · its alternatives →

  2. 2
    Atlas.co▲960

    GIS and maps in the browser

    2024 · atlas.co · its alternatives →

  3. 3GF

    2018 · dataturks.com · its alternatives →

  4. 4

    Build and share datasets to experiment with ML

    2021 · datatorch.io · its alternatives →

  5. 5

    The social network for data people

    2016 · data.world · its alternatives →

  6. 6PD
  7. 7CO
  8. 8
    MindsDB▲235

    In-database machine learning

    2022 · its alternatives →

  9. 9
    ML5.js▲249

    Friendly machine learning for the web

    2018 · ml5js.org · its alternatives →

  10. 10

    Understand datasets & improve data quality, by Google PAIR

    2021 · knowyourdata.withgoogle.com · its alternatives →

  11. 11

    Manage your computer vision data labeling

    2024 · labelyourdata.com · its alternatives →

  12. 12

    A curation of free data science resources

    2023 · datapen.io · its alternatives →

  13. 13

    How the world collects public web data

    2024 · brightdata.com · its alternatives →

  14. 14

    Source-backed technographics with an API and MCP server.

    Feb 2026 · predictleads.com · its alternatives →

  15. 15

    AI Dataset Generator – Create realistic datasets for demos, learning, and dashboards - metabase/dataset-generator

    2025 · github.com · its alternatives →

  16. 16

    Real world data collection platform for AI projects

    2021 · github.com · its alternatives →

  17. 17

    Production infrastructure for machine learning at scale - cortexlabs/cortex

    2019 · github.com · its alternatives →

  18. 18

    Easiest way to share/discover new machine learning datasets

    2016 · its alternatives →

  19. 19DA

    Dear HN, I am Riwaj, the cofounder of dstack.ai (https://github.com/dstackai). A few months ago, we built an online service that allows users to publish data visualizations from Python or R. The idea was to build a tool that did not require additional programming or front-end development for publishing data visualizations. Such a code can be invoked from either Jupyter notebook, RMarkdown, Python, or R scripts. Once the data is pushed, it can be accessed via a browser. Open-sourcing dstack: During our customer discovery phase, we realized that dstack.ai should integrate a lot…

    2020 · its alternatives →

  20. 20DO

    Hi HN! I am an undergrad student trying to build interesting things with AI. Recently, I was looking for a dataset I could use for a new project. I realized that it is really frustrating to go through all the government websites (with terrible UX) just to find some usable dataset. I set out to build a GitHub for datasets, named DataHub. Right now, we have more than 1000 datasets from Montréal and New York City, with more cities coming soon (and possible government agencies). All of this is wrapped into a powerful search. It's a breeze to find a dataset to work on. I'd be interested to know…

    2017 · its alternatives →

  21. 21

    An open-source database for machine learning

    2021 · github.com · its alternatives →

  22. 22

    The data community's workbench

    2018 · its alternatives →

  23. 23

    Get custom datasets on-demand

    2019 · its alternatives →

  24. 24

    Discover datasets worth training on.

    Apr 2026 · datasalon.ai · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →