Hugging Face
Free planThe central hub for open-source AI models
The largest model hub for hosting and sharing open-source machine learning models, datasets, and demos. It brings the entire ML ecosystem together in one place, from model downloads to Inference Endpoints and Spaces demo deployments.
vs. similar tools: Its strength is being the de facto standard hub, offering hundreds of thousands of public models and datasets alongside inference and deployment infrastructure on a single platform.
Overview
At a glance
- Hundreds of thousands of public models and datasets in one place
- De facto standard hub with inference and deployment infrastructure
- Free to start with unlimited public repositories
- GPU inference and storage are billed separately by usage
- Korean support is only moderate
- Best for: ML developers and research teams sourcing, deploying, and sharing open-source models
Read more
Hugging Face is the largest model hub for hosting and sharing open-source machine learning models, datasets, and demos. Because it covers everything from downloading models to running inference on Inference Endpoints and shipping demos through Spaces, it is effectively the starting point for ML developers and research teams who want to find, experiment with, and share open-source models.
Its biggest strength is scale and ecosystem. Gathering hundreds of thousands of public models and datasets in one place earns it a model-variety rating of 96, and bundling inference and deployment infrastructure pushes its ecosystem and integration rating to a very high 95. Public repositories are free and unlimited, keeping the barrier to entry low, and an API lets you connect your work to outside services.
That said, GPU inference and storage are billed separately by usage once you pass the free allotment, so production-scale use means managing those costs on the side. Korean support rates a moderate 68, which can feel limiting for Korean-centric work.
In short, developers and research teams whose core task is exploring, deploying, and sharing open-source models can start free and move up to PRO at 9 dollars a month as needs grow. Users who want a finished, Korean-first product right away should look at other tools alongside it.
Pricing
| Plan | Monthly price | Limits |
|---|---|---|
| Free | $0/mo | Free use of Hub models and datasets, unlimited public repositories |
| PRO | $9/mo | Per user, higher limits and priority ZeroGPU access, and more |
| Team | $20/mo | Per user, includes SSO, central billing, and audit logs |
Specs
- API
- Yes
- Open source
- No
- Self-hosting
- Not available
- Korean support
- Input/output only
- Commercial use
- Allowed
Popularity
Buzz and recognition on absolute thresholds
Absolute-threshold score
94
High confidence5/5 signals
Each axis maps to a 1-10 absolute threshold where 10 means broadly recognizable. Collected: 2026-06-16.
Verified public benchmark: 13M users, 2M+ public models, and 500K+ public datasets reported by Hugging Face (as of 2026-04-01) Source
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Compare Hugging Face
Last updated: 2026-05-30
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