Side by side
MLtraq vs ZenML
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.
Free plan Linux
MLtraq offers flexible experiment tracking and data access across Python and SQL workflows. Pin an exact version and verify updates with tests, as its documentation recommends.
Visit MLtraq
Free plan APILinuxMac+3
ZenML provides pipeline orchestration with versioning, caching, and flexible deployment choices. The free self-hosted plan is available, while Scale has a listed monthly price and Enterprise pricing is custom.
Visit ZenMLThe facts
| MLtraq | ZenML | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | Linux | API, Linux, Mac, Self-hosted, Web, Windows |
| Lowest paid plan | Not published | Scale: $999 per workspace a month |
| Plans published | None | 3 |
| Maker | Not published | Not published |
| Website | mltraq.com | zenml.io |
| On ml experiment tracking software | #23 of 39 | #19 of 39 |
MLtraq: what it does well
- Open-source under BSD 3-Clause.
- Supports experiment resumption and run comparison.
- Works with Python, Pandas, and SQL.
- Supports several parallel backends.
- Can track artifacts and model weights.
What to know first
- Requires Python 3.9 or later.
- Documented interfaces may change.
- SQLite is the default database.
- Filesystem is the default object storage.
ZenML: what it does well
- Pipelines run across several platforms without code rewrites.
- Versions models and evaluation datasets.
- Caches results when code and inputs are unchanged.
- Offers local, SaaS, and self-hosted deployment.
- Free plan includes unlimited executions and projects.
What to know first
- Scale costs $999 a month.
- Scale includes 2,000 executions per workspace monthly.
- No free trial is listed.
- Managed compute is not offered.