Keywords AI
HoneyHive vs Langfuse
Compare HoneyHive and Langfuse side by side. Both are tools in the Observability, Prompts & Evals category.
Quick Comparison
| Category | Observability, Prompts & Evals | Observability, Prompts & Evals |
| Pricing | paid | Open Source |
| Best For | Enterprise teams managing prompts and running evals | Teams who want open-source LLM observability they can self-host and customize |
| Website | honeyhive.ai | langfuse.com |
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| Use Cases | — |
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When to Choose HoneyHive vs Langfuse
- Self-hosted LLM monitoring
- Open-source tracing for AI applications
- Prompt versioning and management
About HoneyHive
Prompt management + regression evals in one platform. SOC 2 compliant with annotation queues.
About Langfuse
Langfuse is an open-source LLM observability platform that provides tracing, analytics, prompt management, and evaluation for AI applications. It captures detailed traces of LLM calls, supports custom scoring, and integrates with LangChain, LlamaIndex, Vercel AI SDK, and raw API calls. Langfuse can be self-hosted for data privacy or used as a managed cloud service. Its open-source model and generous free tier make it popular with startups and developers.
What is Observability, Prompts & Evals?
Tools for monitoring LLM applications in production, managing and versioning prompts, and evaluating model outputs. Includes tracing, logging, cost tracking, prompt engineering platforms, automated evaluation frameworks, and human annotation workflows.
Browse all Observability, Prompts & Evals tools →