TensorFlow Extended (TFX)

TensorFlow Extended (TFX) is an end-to-end platform for deploying production-ready machine learning (ML) pipelines. Developed by Google, TFX provides a framework and set of components to orchestrate the entire ML workflow, including data validation, transformation, model training, evaluation, and serving. It is designed to help organizations move from experimental ML models to scalable, reliable production systems. TFX integrates with TensorFlow and other ML frameworks, offering tools for monitoring, versioning, and managing ML artifacts. It is widely used in enterprise environments to ensure reproducibility, scalability, and governance in ML operations (MLOps).