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Langfuse vs MLflow Tracing

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Langfuse

8.2#1 in prompting toolFrom $29 a month
Free planWebAPILinuxSelf-hosted
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MLflow Tracing

7.2#11 in ai agent observability toolsFree plan
Free planWebAPILinuxSelf-hosted
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What both publish

FactLangfuseMLflow Tracing
DocumentationDocumentation covers observability, prompt management, evaluation, metrics, APIs, SDKs, integrations, compatibility, deployment, and security with versioned self-hosting guides.MLflow documentation has separate sections for LLM and agent development, tracing, and evaluation, and for traditional machine-learning workflows.
EvaluationEvaluation features include LLM-as-a-judge, code evaluators, user feedback, manual labeling, datasets, and experiments.MLflow connects trace inspection with evaluation results to help assess application quality.
IntegrationsLangfuse lists more than 100 integrations spanning OpenTelemetry, Python and TypeScript, model providers, agent frameworks, gateways, and developer tools.The integrations directory organizes automatic tracing support across frameworks, coding agents, and model providers.
LicenceLangfuse states that all product features are MIT licensed, while a separate Enterprise license covers governance features such as project RBAC, audit logs, SCIM, and retention policies.The public MLflow repository identifies its licence as Apache-2.0.
Rating on G24.5 out of 5 from 1 reviewNo product rating or review count for MLflow Tracing is stated on the opened G2 MLflow marketplace page.
Rating on TrustRadiusNo rating or review count displayed on the Langfuse profile8 out of 10 from 3 reviews
Self-hostingThe OSS edition can be deployed with Docker Compose, Kubernetes Helm, or Terraform guides for AWS, GCP, and Azure, including offline or air-gapped installations.The repository's setup instructions show starting an MLflow server locally and connecting tracing to it.

Langfuse plans

  • HobbyFree
  • Core$29 a month
  • Pro$199 a month
  • Teams Add-on$300 a month
  • Enterprise$2,499 a month

MLflow Tracing plans

  • MLflow TracingFree

Pick Langfuse if…

Langfuse suits teams building AI agent applications that need tracing, prompt management, and evaluation tools. It also supports teams that want to self-host the core on their own infrastructure.

Pick MLflow Tracing if…

MLflow Tracing suits teams building LLM applications or agents that need visibility into request steps, tool calls, latency or token costs. It supports both automatic integrations and manual instrumentation, with trace data hosted on their infrastructure.

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