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Arize Phoenix vs Langfuse

Arize PhoenixLangfuse

Bottom line: Arize Phoenix for engineers debugging LLM and agent apps; Langfuse for teams wanting open-source LLM observability.

Arize PhoenixArize Phoenix

Open-source LLM and agent observability built on OpenTelemetry.

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LangfuseLangfuse

Open-source LLM observability and evaluation

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Votes00
PricingFreemiumFreemium
CategoryCodingCoding
Tags
observabilityllm-evaluationopen-sourcetracingmonitoring
llm-observabilityopen-sourcetracingevaluationprompt-management
Best for
  • Engineers debugging LLM and agent apps
  • Teams wanting free, self-hosted observability
  • Eval-driven development workflows
  • Teams wanting open-source LLM observability
  • Data-sensitive teams needing self-hosting
  • Prompt and evaluation workflows
Pros
  • Free and source-available, self-hosts in one command
  • Built on open OpenTelemetry standards
  • Strong tracing and evaluation for agents and RAG
  • Works locally, good for private/dev-time debugging
  • Backed by Arize's observability expertise
  • Open source with nearly all features MIT-licensed
  • Self-host the full product free, no seat or usage caps
  • Framework-agnostic (works with or without LangChain)
  • Strong tracing, prompt management, and evaluation
  • Managed cloud with a free tier available
Cons
  • Production-scale features require paid Arize AX
  • Self-hosting means you run the infrastructure
  • Dynatrace acquisition may change roadmap/governance
  • Observability setup still requires instrumentation effort
  • Evaluation quality depends on judge models and config
  • Self-hosting still requires running infrastructure
  • Enterprise compliance features are commercial
  • Cloud Pro tier jumps significantly in price
  • Focused on observability, not app building
  • Analytics depth may need tuning for large scale

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