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

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.