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Lunary vs Arize Phoenix

LunaryArize Phoenix

Bottom line: Lunary for chatbot and RAG builders; Arize Phoenix for engineers debugging LLM and agent apps.

Open-source LLM observability and prompt management for chatbots and RAG

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Open-source LLM and agent observability built on OpenTelemetry.

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Votes00
PricingFreemiumFreemium
CategoryLlm ObservabilityLlm Observability
Tags
llm-observabilityopen-sourcetracingprompt-managementrag
observabilityllm-evaluationopen-sourcetracingmonitoring
Best for
  • Chatbot and RAG builders
  • Teams wanting open-source observability
  • Privacy-sensitive projects
  • Engineers debugging LLM and agent apps
  • Teams wanting free, self-hosted observability
  • Eval-driven development workflows
Pros
  • Open source under Apache 2.0
  • Self-hostable with no per-event cost
  • Lightweight and fast to set up
  • Model-agnostic with LangChain and OpenAI support
  • Free cloud tier for low volumes
  • 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
Cons
  • Free cloud tier capped at limited daily events
  • Lighter feature set than enterprise LLMOps suites
  • Smaller team and community than larger platforms
  • Advanced analytics may require paid plans
  • Self-hosting still requires operational effort
  • 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

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