Comet ML vs MLflow
C Comet ML | M MLflow | |
|---|---|---|
| Rating | ⭐ 4.2 / 5 | ⭐ 4.4 / 5 |
| Category | Data & analytics | Data & analytics |
| Pricing model | Freemium | Freemium |
| From | Opik: free open source, cloud Free $0/month, Pro $19/month. MLOps: Free $0/month, Pro $19/user/month, Enterprise on request | Entirely free and open source; managed hosting available via Databricks, billed by Databricks consumption (DBU), no dedicated MLflow pricing published |
| Ease of use | Intermediate | Intermediate |
| French interface | — | — |
| API | Yes | Yes |
| Website | Visit → | Visit → |
Our verdict: Comet ML
Best for teams wanting to both track classical model training and monitor LLM applications in production under one brand. Not for you if you are looking for a single, simple pricing structure: Opik and Comet's MLOps platform are billed separately, which can double the subscription for a team using both.
Our verdict: MLflow
Best for teams wanting a free experiment tracking tool without vendor lock-in, to install on your own infrastructure. Not for you if you are looking for a ready-to-use managed service with simple billing: outside of Databricks, there is no official MLflow cloud offering with published pricing.
Still torn between Comet ML and MLflow?
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