Alternatives to Mlflow
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MLflow is an open-source platform for managing the full machine learning lifecycle, created by Databricks in 2018 and now one of the most widely adopted MLOps tools with over 17 million monthly downloads. MLflow's four core components address the key pain points of ML teams: Tracking (log experiments, parameters, metrics, and artifacts), Projects (package ML code for reproducibility), Models (a standard format for packaging models deployable to any serving platform), and Model Registry (centralized model store with versioning, stage transitions, and approval workflows).
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