Awesome Public Datasets
Verified working Jul 31, 2026
A community-curated directory of open datasets organized by topic.
Awesome Public Datasets is a GitHub-maintained collection of links to public datasets across many subject areas. It functions as a lightweight discovery list for researchers, data scientists, students, and developers looking for dataset sources rather than hosting the datasets itself.
Why it stands out
- Large, long-running community list with substantial GitHub adoption and contribution history.
- Covers many dataset domains from a single browsable repository instead of one institution or region.
- Transparent change history makes it easier to see when entries were added or updated.
- GitHub-based contribution model lets users suggest additions and fixes publicly.
Good to know
- It is primarily a link directory, so dataset availability, licensing, format, and quality vary by external source.
- Entries are maintained as repository content rather than a full searchable data catalog with rich metadata filters.
- Some linked datasets may move, change access terms, or become outdated between community updates.
Under the radar: Check the repository’s Issues and Pull requests as well as the main list; proposed dataset additions and fixes often appear there before they are merged.
Photos

Data scientists and researchers can use it to quickly find public dataset sources for exploratory analysis, modeling, or benchmarking. Discover datasets by broad topic before choosing a specific repository or portal. Find example data sources for tutorials, classroom projects, or portfolio work. Contribute new dataset links or corrections through GitHub issues and pull requests.
Topic-based dataset listings, public GitHub repository, issue and pull-request workflow for community updates, MIT-licensed repository materials, visible commit history, stars, forks, and contributor activity.
Technical Notes
- Repository contents can be accessed through Git clone/download or the GitHub REST API.
- The catalog is maintained as README/RST-style files, not as a dedicated structured dataset API with normalized metadata.
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Similar sites elsewhere
- Data.gov — data.gov
- European Data Portal — data.europa.eu
- Kaggle Datasets — kaggle.com/datasets
- Google Dataset Search — datasetsearch.research.google.com
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