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Langtrace vs Opik

LangtraceOpik

Bottom line: Langtrace for lLM app developers; Opik for teams wanting open-source eval plus tracing.

	Langtrace Open-source, OpenTelemetry-based observability for LLM applications Visit	Opik Open-source LLM evaluation, tracing, and observability by Comet. Visit
Votes	0	0
Pricing	Freemium	Freemium
Category	Llm Observability	Llm Observability
Tags	llm-observabilityopentelemetrytracingevaluationsopen-source	llm-evaluationobservabilityopen-sourcetracingmonitoring
Best for	LLM app developers RAG engineers Platform teams	Teams wanting open-source eval plus tracing LLM engineers doing eval-driven development Organizations that value self-hostability
Pros	Fully open source and self-hostable Built on the OpenTelemetry standard Traces export to any observability stack Supports Python and TypeScript Covers models, frameworks, and vector DBs	Full platform is Apache-2.0 and free to self-host Combines tracing and evaluation in one tool LLM-as-a-judge and many automated metrics Fast-growing, widely adopted open-source project Integrates with Comet's ML ecosystem
Cons	Smaller ecosystem than larger competitors Fewer turnkey enterprise features Evaluations can require manual effort Requires OpenTelemetry familiarity for advanced setups Managed cloud is less mature than incumbents	Crowded, competitive category Self-hosting requires running infrastructure Managed cloud limits (spans, seats) on lower tiers Evaluation quality depends on judge configuration Deep value tied to adopting the workflow

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