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Galileo vs Langfuse

A side-by-side comparison of Galileo and Langfuse, two Observability tools, drawn from Ignaite's continuously-verified listings.

Compared from listings verified as of

Galileo

Observability

Evaluation and observability for GenAI apps and agents, with inline guardrails.

View Galileo

Langfuse

Observability

Open-source LLM observability. Self-hostable, OpenTelemetry-native.

View Langfuse

At a glance

Feature comparison of Galileo and Langfuse
AttributeGalileoLangfuse
CategoryObservabilityObservability
PricingFREEMIUMFREEMIUM
License (differs)ProprietaryOpen core
Deployment (differs)CloudHybrid
Platforms (differs)Web, APIAPI, Web
Model supportModel-agnosticModel-agnostic
Vendor (differs)GalileoLangfuse
Capabilities (differs)
  • LLM evaluation
  • LLM observability
  • Guardrails
  • AI security scanning
  • LLM observability
  • LLM evaluation
  • Prompt management

The honest brief

Galileo

Turns offline evals into real-time production guardrails powered by its own cheap Luna eval models, not an LLM judge.

  • 20+ out-of-the-box evals for RAG and agents
  • Inline runtime guardrails, not just offline scoring
  • Own Luna models keep eval costs low
  • Model-agnostic across providers
  • Pricing tiers gate the production guardrails
  • Proprietary eval models, not open source
  • Heavier setup than a drop-in proxy

Langfuse

The MIT-licensed, self-hostable answer to LangSmith — own your observability data, framework-agnostic.

  • Own your observability data
  • Framework-agnostic, OTel-native
  • Tracing + evals + prompt mgmt
  • Transparent unit-based pricing
  • Self-host infra cost at scale
  • Less deep LangChain integration
  • Setup heavier than hosted-only

When to pick which

Both cover LLM evaluation and LLM observability.

Pick Galileo if you need Guardrails and AI security scanning.

  • Guardrails (secondary capability)
  • AI security scanning (secondary capability)

Pick Langfuse if you need Prompt management.

  • Prompt management (secondary capability)

Galileo leans on LLM evaluation as a headline capability; Langfuse treats it as secondary.

  • LLM evaluation (primary capability)

They also differ on:

License
Proprietary · Open core
Deployment
Cloud · Hybrid
Galileo detailsLangfuse detailsAll Observability apps