Head-to-head · AI Agent Observability Tools
Langfuse vs HoneyHive
Langfuse leads on 0 checks, HoneyHive on 0, and 2 are even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreLangfuse · 9.2/10
- Free planboth
Langfuse scores higher on our rubric for ai agent observability tools: 9.2 against 8.8 out of 10; our editors rank them #2 and #5.
Langfuse is the better fit for teams needing mature end-to-end LLM tracing. HoneyHive is the better fit for teams focused on production agent quality.
- Langfuse fits best
Teams needing mature end-to-end LLM tracing
- HoneyHive fits best
Teams focused on production agent quality
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Side by side
| Feature | Langfuse 9.2/10 Visit ↗ | HoneyHive 8.8/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.2 | 8.8 |
| Ranking | #2 in AI Agent Observability Tools | #5 in AI Agent Observability Tools |
| Best for | Teams needing mature end-to-end LLM tracing | Teams focused on production agent quality |
| Pricing model | Free plan + paid | Free plan + paid |
| Starting price | $29/mo | — |
| Free plan | ✓ | ✓ |
| Free trial | — | — |
| Deployment | Cloud, Self-hosted | Cloud, Self-hosted |
| Platforms | Web | Web |
| Support | Email, Live chat, Community, Docs | Email, Community, Docs |
| Compliance | SOC 2, ISO 27001, GDPR, HIPAA | SOC 2, GDPR, HIPAA, SSO/SAML, 2FA |
| Integrations | 100+ integrations | 100+ integrations |
| Built for | Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Langfuse 1/3 · HoneyHive 1/3 | ||
| Session replay | Not checked yet | Not checked yet |
| Prompt and tool tracing | Not checked yet | Not checked yet |
| Cost tracking | ✓ | ✓ |
| Specs | ||
| Trace retention | Not checked yet | Not checked yet |
| Deployment options | Not checked yet | Not checked yet |
| Agent framework support | Not checked yet | Not checked yet |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Langfuse is an open-source AI engineering platform for teams building and operating LLM applications. It records structured traces for model calls, agents, tool calls, and retrieval steps, while also covering prompt management,… Read the review → |
HoneyHive is an AI observability and evaluation platform for developers, AI engineering teams, and enterprises operating LLM applications and agents. It records distributed traces across prompts, model calls, tools, retrieval steps, and… Read the review → |
Strengths and trade-offs
Langfuse — where it wins
- Traces LLM calls, agents, tools, and retrieval steps
- Includes evaluations, prompt management, datasets, and experiments
- Cloud and self-hosted deployment with 100 integrations
Where it doesn't
- Hobby limits usage, data access, and users
- Teams features require a $300 monthly add-on
- Enterprise capabilities are concentrated in higher tiers
HoneyHive — where it wins
- Traces prompts, tools, retrieval steps, and agent handoffs
- Combines automated, human, and LLM-judge evaluations
- Supports prompt deployments, regression tracking, drift detection, and alerts
Where it doesn't
- Enterprise capabilities use custom pricing
- SAML and custom SSO are limited to Enterprise
- Self-hosted, hybrid, and single-tenant options are Enterprise features
- Langfuse9.2/10 · Free plan
A broad observability platform for teams tracing, evaluating, and improving LLM applications.
Visit LangfuseFull verdict → - HoneyHive8.8/10 · Free plan
A broad observability and evaluation suite for teams improving production agent quality.
Visit HoneyHiveFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update







