Observability
MLflow
Track model and agent experiments, traces, evaluations and prompt versions.
28.5K GitHub starsAs of Checked
Where it fits
What you can use it for
Teams connecting AI application quality with the model lifecycle.
Trace agent runs, evaluate outputs and understand costs.
Before you adopt
What to check for your team
Set access control, artifact storage and retention before collecting sensitive traces. Managed distributions have separate terms.
Get help evaluating the fitLicence and scope
Apache-2.0
Applies to this repository. Dependencies, model weights, datasets and hosted services can have separate terms.
Read the upstream licenceSupport the work
Go directly to the maintainers
Use the project's contribution guidance to report issues, help with documentation or contribute code. Follow any published funding links if you want to support the maintainers financially.
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