[dmpetrov]

It would be helpful to see the difference with MLFlow. The deployment part as well as model registry part.

[aguschin]

Hi! Thanks for the question! There are a few important differences:

- MLEM automatically extracts the metadata from the model for you. With MLflow, you need to specify ML framework and environment.

- For the Model Registry that you can build in Git with MLEM, you don't need a separate service and Database up, except for GitHub or GitLab.