MLflow

An open-source platform designed to manage the end-to-end machine learning lifecycle. Developed by Databricks, it provides tools for tracking experiments, packaging code into reproducible runs, and sharing and deploying models, distinguishing itself with components like MLflow Tracking, Projects, Models, and Registry. MLflow is primarily targeted at data scientists and engineers seeking a comprehensive solution for managing machine learning workflows.