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HoneyHive vs Opik

HoneyHiveOpik

Bottom line: HoneyHive for enterprises running production agents; Opik for teams wanting open-source eval plus tracing.

	HoneyHive Observability and evaluation platform for AI agents and 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-observabilityevaluationtracingagent-monitoringllmops	llm-evaluationobservabilityopen-sourcetracingmonitoring
Best for	Enterprises running production agents Teams needing data-residency control Cross-functional AI product teams	Teams wanting open-source eval plus tracing LLM engineers doing eval-driven development Organizations that value self-hostability
Pros	End-to-end tracing, evaluation, and monitoring Enterprise-grade data-residency options Collaboration across engineering and SMEs Human-in-the-loop plus automated evaluators OpenTelemetry-based instrumentation	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	Pricing is sales-led and not fully public Production use pushes toward Enterprise plans Less community mindshare than open-source rivals Text/LLM-focused rather than broad APM Setup requires instrumentation effort	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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