Langfuse vs Weights & Biases Weave

Pick two tools from the same category to compare side-by-side.

	Langfuse Open-source LLM observability, eval, prompt mgmt.	Weights & Biases Weave LLM tracing and evaluation toolkit from Weights & Biases for developing generative AI applications.
Category	observability	observability
Vendor type	open source	hybrid
Pricing	freemium	freemium
Strengths	+ Open source; full self-host option + Broad coverage (trace + eval + prompts) + Provider-agnostic	+ Minimal instrumentation via the weave.op decorator + Evaluation framework for structured, comparative LLM assessments + Integrates with the broader Weights & Biases ML experiment platform + Apache-2.0 licensed client SDK
Tradeoffs	− Self-host adds ops burden vs SaaS	− Tied to a W&B account and backend rather than a standalone self-hosted store − TypeScript SDK is less mature than the Python SDK
Used in stacks	4	0