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
ObservabilityEvaluation and observability for GenAI apps and agents, with inline guardrails.
View GalileoLangfuse
ObservabilityOpen-source LLM observability. Self-hostable, OpenTelemetry-native.
View LangfuseAt a glance
| Attribute | Galileo | Langfuse |
|---|---|---|
| Category | Observability | Observability |
| Pricing | FREEMIUM | FREEMIUM |
| License (differs) | Proprietary | Open core |
| Deployment (differs) | Cloud | Hybrid |
| Platforms (differs) | Web, API | API, Web |
| Model support | Model-agnostic | Model-agnostic |
| Vendor (differs) | Galileo | Langfuse |
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