“TFX vs MLflow” is a slightly broken question. The two tools live on different layers of the ML stack, and treating them as substitutes is how teams end up with the wrong one.

• TFX is a pipeline framework. It defines how data becomes a validated, trained, evaluated and pushed model — as …

Updated September 2026. Corrected the model registry and metadata details, and added what changed since the original post: MLflow 3, ZenML’s Model Control Plane, and TFX narrowing its focus. For a head-to-head of the two most compared tools, see TFX vs MLflow.

Machine learning operations …