MLflow is an open-source platform for tracking, evaluating and managing machine-learning and generative-AI workflows.
Its tools cover experiment runs, models and application traces, with resources for evaluating and managing AI applications. The project provides documentation, examples and an interface for exploring recorded work.
Use the official project site to compare the available components and deployment options. The setup and integrations depend on the environment and services used by a team.
