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Galileo vs Traceloop

GalileoTraceloop

Bottom line: Galileo for teams shipping GenAI apps to production; Traceloop for engineering teams operating LLM apps in production.

GalileoGalileo

Evaluation intelligence and observability platform for GenAI apps and agents

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TraceloopTraceloop

Open-source LLM observability built on OpenTelemetry

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Votes00
PricingFreemiumFreemium
CategoryLlm ObservabilityLlm Observability
Tags
llm-evaluationobservabilityguardrailsgenai-metricsagent-monitoring
llm observabilitymonitoringopentelemetrydeveloper toolsopen source
Best for
  • Teams shipping GenAI apps to production
  • Organizations needing evaluation rigor
  • Agent developers wanting guardrails
  • Engineering teams operating LLM apps in production
  • Developers wanting vendor-neutral observability
  • Teams already using OpenTelemetry
Pros
  • Purpose-built Luna evaluation models (fast, cheaper than LLM-judge)
  • 20+ research-backed metrics
  • Covers evaluation, observability, and guardrails
  • Polished console with minimal setup
  • Free plan with 5,000 traces/month
  • Built on open standard OpenTelemetry, avoiding lock-in
  • Open-source OpenLLMetry library is free (Apache-2.0)
  • Generous free tier on the managed platform
  • Broad support for providers and frameworks
  • Multiple language SDKs
Cons
  • Pro at $100/month may be steep for small teams
  • Free plan lacks RBAC and advanced analytics
  • Managed platform hosts your evaluation data (unless enterprise self-host)
  • Text/GenAI-focused
  • Advanced features gated to higher tiers
  • Requires engineering effort to instrument and interpret
  • Smaller, seed-stage company
  • Advanced evaluation features still maturing
  • Aimed at developers, not non-technical users
  • Enterprise support and guarantees worth verifying

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