Hugging Face Datasets
π€ The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Our verdict
A usable project with some maintenance caveats. This assessment is derived from GitHub's own repository metrics on 2026-08-30, not from hands-on testing.
π€ The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools. The project is written primarily in Python, released under Apache-2.0, and has 21,878 stars and 3,375 forks on GitHub. 691 contributors have committed to it, and the most recent push was 2026-08-28. The latest tagged release is 5.0.1 (2026-07-28). Figures come from the GitHub API on 2026-08-30 and are refreshed daily; the score below weighs adoption, maintenance, release discipline, contributor breadth, licence clarity and issue hygiene.
Repository
- Licence
- Apache-2.0
- Language
- Python
- Last push
- 2026-08-28
Releases
-
5.0.15.0.1 -
5.0.05.0.0 -
4.8.54.8.5 -
4.8.44.8.4 -
4.8.34.8.3 -
4.8.24.8.2
Pros and cons
Pros
Cons
Pricing
- Free tierYes
- LicenceApache-2.0
- Self-hostYes, source is public
- Public price listNot published
Hugging Face Datasets does not publish a web price list. For consumer apps that usually means pricing appears inside the product; for enterprise tools it means talking to sales. Why we do this
Visit huggingface.coTrends
Price points are recorded when a price moves, not on a schedule, so a flat run means the price held. Release cadence comes from GitHub releases. A series appears only once we have watched it for long enough to have more than one observation.
What users actually say
- Import and explore Hugging Face datasets locally … Reddit · N/A
- Why is discovering βdifferent but similarβ datasets/models on HuggingFace basically hard/impossible? Reddit · N/A
We link to discussions rather than reproducing them. Opinions belong to their authors.
User reviews
No one has reviewed Hugging Face Datasets here yet. Reviews are moderated before they appear, and our own score is editorial and separate from user ratings, though once reviews land they do lift it.
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Hugging Face Datasets alternatives
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π€ PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
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Side by side
| Tool | Our score | From | Free tier | Best for | |
|---|---|---|---|---|---|
| Hugging Face Datasets this page | 7 | - | Yes | ||
| PEFT | 7.7 | - | Yes | ||
| PyTorch Image Models (timm) | 7.7 | - | Yes | ||
| fastai | 7.4 | - | Yes | ||
| LlamaFactory | 7.3 | - | Yes | ||
| DeepSpeed | 7 | - | Yes | ||
| Label Studio | 6.7 | - | Yes |
Questions
Is datasets free?
Yes. datasets advertises a free tier on its own site.
How much does datasets cost?
datasets does not publish a web price list. For consumer apps that usually means pricing appears inside the product; for enterprise tools it means talking to sales.
Is datasets open source?
Yes. datasets is a public repository released under Apache-2.0. You can self-host or inspect the source directly.
How is datasets scored here?
datasets scores 7.0 out of 10. That comes from a desk review of public evidence, which is capped at 8.5 out of 10: public pricing, documentation, maintenance signals and how much we could actually verify. Affiliate relationships are excluded from scoring entirely. The full rubric is published on our methodology page.