# awesome-public-datasets

> Curated list of topic-centric public datasets

Awesome Public Datasets is a curated collection of high-quality open data sources organized by domain. It provides links to public datasets across topics including economics, healthcare, machine learning, and government. Users browse the directory directly on GitHub to find data for analysis, research, and machine learning projects.

- Source: https://github.com/awesomedata/awesome-public-datasets
- Homepage: https://awesomedataworld.slack.com
- License: MIT
- Stars: 79844
- Forks: 11930
- Contributors: 155
- Last commit: 2026-10-28
- Latest release: v20230903 (2023-09-03)
- Purpose: Data & analytics, Education & research
- Type: Guide / course
- For: Personal, Enterprise

## Worth score: 73/100

How much DigGitHub recommends it, from activity, adoption, docs, license and security signals.

- Popularity: 25/25
- Momentum: 10/20
- Maintenance: 17/25
- Community: 13/15
- Readiness: 8/15

## Downloads

Latest release: [v20230903](https://github.com/awesomedata/awesome-public-datasets/releases/tag/v20230903). Files from the project's GitHub release, not checked by DigGitHub.

Source code only: this release has no files to download.

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Source page: https://diggithub.com/awesomedata/awesome-public-datasets
Updated: 2026-10-30