Side by side
Hugging Face Hub vs OpenML
Both stand on machine learning data catalog software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free plan APILinuxWeb
Hugging Face Hub combines repositories, app hosting, collaboration, storage, and inference options for machine learning work. Free access includes 100GB of private storage, while paid plans add capacity and team or enterprise controls.
Visit Hugging Face Hub Free plan APIWeb
OpenML brings datasets, benchmark tasks, experiment tracking, and citation support together for machine-learning work. Consider its account requirement for uploads and rate limits for unauthenticated access when deciding how to use it.
Visit OpenMLThe facts
| Hugging Face Hub | OpenML | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | API, Linux, Web | API, Web |
| Lowest paid plan | PRO Account: $9 a month | Free or on request |
| Plans published | 4 | 1 |
| Maker | Not published | Not published |
| Website | huggingface.co | openml.org |
| On machine learning data catalog software | #1 of 14 | #4 of 14 |
Hugging Face Hub: what it does well
- Git-based repositories support versions, diffs, and branches
- Spaces host Gradio and Docker apps
- Inference Providers offer programmatic model access
- Free users and organizations get 100GB private storage
What to know first
- Public storage is best-effort and subject to abuse mitigations
- Dedicated support is included in Enterprise
- Free private storage is limited to 100GB
OpenML: what it does well
- Standardized tasks use fixed evaluation protocols.
- Datasets are uniformly formatted and versioned.
- Automatic tracking covers flows and experiment runs.
- DOIs are available for datasets, flows, and runs.
- REST API offers XML and JSON endpoints.
What to know first
- Unauthenticated data access is rate-limited.
- Uploading and managing resources requires an account.
- API authentication requires a signed-in profile key.
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