LangWatch vs Weights & Biases Weave

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

	LangWatch Open-source LLM observability, evaluation, and AI agent testing platform.	Weights & Biases Weave LLM tracing and evaluation toolkit from Weights & Biases for developing generative AI applications.
Category	observability	observability
Vendor type	hybrid	hybrid
Pricing	freemium	freemium
Strengths	+ Fully open-source with local and self-hosted options + Native OpenTelemetry support, framework and provider agnostic + Combines observability, evaluation, and prompt management + Agent simulation across scenarios, languages, and edge cases	+ 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	− Broad feature surface can add setup overhead − Managed cloud usage billed per event beyond included quotas	− 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	0	0