Databricks MLflow
Open SourceAbout Databricks MLflow
MLflow is an open source AI engineering platform for agents, LLMs, and ML models. It lets teams debug, evaluate, monitor, and optimize AI applications. For LLM applications, it includes observability, evaluation, prompt management, prompt optimization, and an AI Gateway. For ML model development, it provides experiment tracking, model evaluation, a model registry, and deployment tools. It is backed by the Linux Foundation and is open-source.
Used for
- Debugging LLM applications and agents
- Evaluating LLM applications and agents
- Detecting issues in traces across correctness, latency, execution, adherence, relevance, and safety dimensions
Who it is for
- Used by teams of all sizes.
- Used by thousands of organizations and research teams worldwide.
From Databricks MLflow's own website, read 2026-10-24. How we build listings.
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Quick Facts
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