This is a repackaged open-source software product wherein additional charges apply for support. MLflow is a powerful open-source tool that helps data scientists and engineers manage the machine learning lifecycle, from experimentation to deployment. It provides components for tracking experiments, packaging code, and deploying models. MLflow supports multiple frameworks and libraries, making it highly versatile for managing end-to-end machine learning workflows. With features like model versioning, centralized logging, and collaboration tools, MLflow accelerates the development and operationalization of machine learning models. It supports integration with popular tools such as TensorFlow, PyTorch, and scikit-learn, as well as with cloud storage and databases for scalable artifact storage and metadata tracking.