MLflow

MLflow is an open-source platform designed to manage the machine learning lifecycle, including experimentation, reproducibility, deployment, and a central model registry. It provides tools for tracking experiments, packaging code into reproducible runs, and sharing and deploying models. MLflow supports various machine learning libraries and can be used with any programming language. It is widely adopted in both research and production environments to streamline ML workflows and improve collaboration among data science teams.