MLflow

An open-source platform for managing the machine learning lifecycle, including experiment tracking, model versioning, deployment, and monitoring. MLflow provides a vendor-neutral way to organize and reproduce ML workflows, and is widely used in enterprise settings where teams need to manage many models across different frameworks and deployment environments.