Side by side
Determined vs OpenML
Both stand on experiment tracking. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free plan LinuxWeb
Determined combines free access with GPU and distributed training support across Linux and web platforms. It fits teams whose training workflows match its Python and multi-target scope.
Visit Determined 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
| Determined | OpenML | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | Linux, Web | API, Web |
| Lowest paid plan | Not published | Free or on request |
| Plans published | None | 1 |
| Maker | Not published | Not published |
| Website | hpe.com | openml.org |
| On experiment tracking | #14 of 22 | #10 of 22 |
Determined: what it does well
- Free plan available
- Linux and web platforms
- GPU acceleration
- Distributed training
- Python support
What to know first
- Only Python is listed
- Training-focused scope
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.
Alternatives to Determined Alternatives to OpenML The whole list