mlflow
An open-source AI engineering platform for debugging, evaluating, monitoring, and optimizing production LLM applications and machine learning models.
What is mlflow?
MLflow is an open-source AI engineering platform that provides tools for debugging, evaluating, monitoring, and optimizing production-quality AI applications. It supports agents, large language models (LLMs), and traditional machine learning models, helping teams manage the entire AI lifecycle while controlling costs and governing access to models and data.
AI engineers, data scientists, and ML/LLMops teams building and deploying production AI applications, from startups to large enterprises.
Developers choose MLflow for its comprehensive, vendor-neutral platform that integrates with over 60 frameworks, offers production-grade observability and evaluation, and supports self-hosting across any environment.
Overview
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
Use Cases
Best For
- Teams needing end-to-end observability for LLM and agent applications
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