Braintrust vs Langfuse
A side-by-side comparison of Braintrust and Langfuse, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
Langfuse
ObservabilityOpen-source LLM observability. Self-hostable, OpenTelemetry-native.
View LangfuseAt a glance
| Attribute | Braintrust | Langfuse |
|---|---|---|
| Category (differs) | Eval | Observability |
| Pricing | FREEMIUM | FREEMIUM |
| License (differs) | Proprietary | Open core |
| Deployment (differs) | Cloud | Hybrid |
| Platforms (differs) | Web, API | API, Web |
| Model support (differs) | BYO key / model | Model-agnostic |
| Vendor (differs) | Braintrust | Langfuse |
| Capabilities |
|
|
The honest brief
Braintrust
Eval-first: prompts are versioned objects and CI scorers block a merge when quality regresses.
- Eval workflow as the primary interface
- CI scorers block merges on regression
- Dataset versioning + OTel tracing
- Generous free tier
- Closed-source SaaS
- Self-hosting needs Enterprise contract
- Overkill for tiny single-file eval needs
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
Braintrust and Langfuse cover the same capabilities, but lead with different ones:
Braintrust is built around LLM evaluation.
- LLM evaluation (primary capability)
Langfuse is built around LLM observability.
- LLM observability (primary capability)
They also differ on:
- License
- Proprietary · Open core
- Deployment
- Cloud · Hybrid