MLflow

MLflow is an open source AI engineering platform designed to support teams building and operating AI agents, LLMs, and ML models. It focuses on debugging, evaluating, monitoring, and optimizing production-quality AI applications while helping manage costs and data access. The platform emphasizes open source accessibility and broad collaboration across organizations and researchers.

MLflow provides a unified approach to tracing, evaluating, prompt management, and deployment. It integrates with OpenTelemetry and supports many frameworks and providers, enabling users to instrument and observe complex AI workflows and productions environments.

MLflow offers guided steps to get started with production-grade tooling, including server setup, logging enablement, and running code to explore traces and metrics through a dedicated UI. The workflow is designed to transition from prototype to production endpoints efficiently.

It highlights a history of wide adoption and an active community that contributes to its ecosystem.

Use cases

• Ship AI agents and LLM applications to production with built-in observability, evaluation, and monitoring.
• Monitor costs and manage access to models and data in production.