Side by side
Oríon vs Valohai
Both stand on ml experiment tracking software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Paid APILinuxMac+2
Oríon adds configurable black-box optimization and experiment tracking to existing research workflows. Its algorithms, APIs, visualizations, and storage choices are useful, but larger parallel runs favor MongoDB over PickledDB.
Visit Oríon
Free trial APILinuxSelf-hosted+1
Valohai brings core MLOps workflow controls into one platform, with flexible compute and deployment choices. Teams should request a quote to assess its per-user subscription cost.
Visit ValohaiThe facts
| Oríon | Valohai | |
|---|---|---|
| Free plan | Not published | A free trial |
| Open source | Not published | Not published |
| Runs on | API, Linux, Mac, Self-hosted, Windows | API, Linux, Self-hosted, Web |
| Lowest paid plan | Not published | Free or on request |
| Plans published | None | 1 |
| Maker | Not published | Not published |
| Website | orion.readthedocs.io | valohai.com |
| On ml experiment tracking software | #31 of 39 | #27 of 39 |
Oríon: what it does well
- Supports asynchronous parallel optimization
- Includes four optimization algorithms
- Joblib and Dask worker backends
- Experiment versioning for reproducibility
- Multiple database backends
What to know first
- PickledDB is unsuitable above 50 workers
- Additional algorithms require plugins
- Self-hosted deployment required
Valohai: what it does well
- Versions experiments and datasets
- Pipeline caching and conditional branches
- Autoscaled compute across multiple environments
- API access for every platform operation
- 14-day trial available
What to know first
- No free plan
- Pricing requires a custom quote
Alternatives to Oríon Alternatives to Valohai The whole list