compare
DVC vs MLflow
The same facts for both, read from GitHub every night, and the relation a person reviewed.
| Fact | DVC | MLflow |
|---|---|---|
| Language | Python | Python |
| Licence | Apache-2.0 | Apache-2.0 |
| Stars | 16k | 28k |
| Latest | 3.67.1 | v3.16.1 |
| Last push | 2026-10-05 | 2026-10-06 |
| Release cadence | about 16 days between releases | about 11 days between releases |
| Active contributors | 1 commit author on the default branch in the last 90 days | 98+ commit authors on the default branch in the last 90 days |
| Flags | none | none |
How they relate
Both replace Weights & Biases. Alternatives to Weights & Biases →
PartialDVCVersions data and models alongside git and tracks experiments from the command line.
Full replacementMLflowA tracking server for runs, metrics and artefacts, with a model registry.
DVC
MLflow
- model-catalog/latest2026-04-06Model Catalog
- v2.11.52026-09-23MLflow 2.11.5
- v3.16.12026-09-17MLflow 3.16.1
- v3.16.02026-09-04MLflow 3.16.0
- v3.15.22026-08-26MLflow 3.15.2 is a patch release that includes several major features and improvements.
DVC
✓ signed The latest release, 3.67.1, carries a signature GitHub verified.
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MLflow
✓ signed The latest release, v3.16.1, carries a signature GitHub verified.
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