Side by side
FastTrackML vs Sacred
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+3
FastTrackML provides MLflow-oriented experiment logging, web interfaces, and several self-hosted deployment paths. Its archived repository and stated successor should be considered before choosing it for new work.
Visit FastTrackML Free plan LinuxSelf-hosted
Sacred provides experiment configuration, run logging, reproducibility controls, and several viewing integrations. Its Python focus and self-hosted setup should guide tool selection.
Visit SacredThe facts
| FastTrackML | Sacred | |
|---|---|---|
| Free plan | Not published | Yes |
| Open source | Not published | Not published |
| Runs on | API, Linux, Mac, Self-hosted, Web, Windows | Linux, Self-hosted |
| Lowest paid plan | Not published | Not published |
| Plans published | None | None |
| Maker | Not published | Not published |
| Website | fasttrackml.io | github.com |
| On ml experiment tracking software | #28 of 39 | #24 of 39 |
FastTrackML: what it does well
- Open-source Apache License 2.0 project
- MLflow-compatible drop-in replacement API
- Supports pip, Docker, and installation scripts
- Modern and Classic user interfaces
- API and SDK access available
What to know first
- Repository archived March 31, 2026
- GitHub repository is read-only
- Homepage names mlflow-go as successor
Sacred: what it does well
- Free MIT-licensed open-source project
- Command-line parameter changes and variants
- Observers record configuration and machine details
- Automatic seeding supports reproducibility
- Artifact tracking and API access
What to know first
- Designed for Python experiments
- No free trial is offered
- NumPy and PyMongo features are optional dependencies
Alternatives to FastTrackML Alternatives to Sacred The whole list