MLflow is an open-source platform for managing the end-to-end machine learning lifecycle. It provides tools for tracking experiments, packaging code into reproducible runs, and sharing and deploying models. It supports both traditional machine learning and generative AI (GenAI) workflows through features like MLflow Tracking and a central model registry.
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MLflow is an open-source platform designed to manage the complete machine learning lifecycle, including experimentation, reproducibility, deployment, and a central model registry for both traditional
Open-source platform for MLOps and machine learning lifecycle management.
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Last verified: February 2, 2026
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