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Langfuse vs W&B Weave

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

Compared from listings verified as of

Langfuse

Observability

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

View Langfuse

W&B Weave

Observability

Tracing and evaluation for LLM apps, from Weights & Biases.

View W&B Weave

At a glance

Feature comparison of Langfuse and W&B Weave
AttributeLangfuseW&B Weave
CategoryObservabilityObservability
PricingFREEMIUMFREEMIUM
LicenseOpen coreOpen core
DeploymentHybridHybrid
PlatformsAPI, WebAPI, Web
Model support (differs)Model-agnosticBYO key / model
Vendor (differs)LangfuseWeights & Biases

The honest brief

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

W&B Weave

One @weave.op decorator handles both tracing and evaluation, tied into the mature W&B experiment-tracking platform.

  • Single decorator traces every call
  • Tracing + evaluation in one SDK
  • LLM-as-judge and custom scorers
  • Apache-2.0 SDK
  • Ties into W&B experiment tracking
  • Traces land in W&B hosted platform
  • Best value if already on W&B
  • Free only for solo use