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Lunary vs OpenObserve

LunaryOpenObserve

Bottom line: Lunary for chatbot and RAG builders; OpenObserve for teams running agents in production.

LunaryLunary

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

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OpenObserveOpenObserve

OpenTelemetry-native observability for LLM calls, tools, and agent handoffs

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Votes00
PricingFreemiumFreemium
CategoryLlm ObservabilityLlm Observability
Tags
llm-observabilityopen-sourcetracingprompt-managementrag
opentelemetryllm tracingagent observabilitytoken costopen source
Best for
  • Chatbot and RAG builders
  • Teams wanting open-source observability
  • Privacy-sensitive projects
  • Teams running agents in production
  • Platform teams already using OpenTelemetry
  • Organisations needing LLM cost attribution
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
  • Agent traces are standard OpenTelemetry spans, not a silo
  • Per-span token cost from your own model pricing
  • Unlimited users with no per-seat charge
  • AGPL-3.0 core with a self-hosted option
  • Self-hosted enterprise free up to 50 GB per day
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
  • LLM observability is labelled preview
  • Online evaluations are an enterprise feature
  • Ingestion-based pricing needs volume forecasting
  • Self-hosting carries operational overhead
  • Payload capture raises data governance questions

Comparison generated from each tool's listing. Add or remove tools above to change it.