Helicone vs Langfuse
Detailed side-by-side comparison to help you choose the right tool
Helicone
🔴DeveloperLLM Observability
Open-source LLM observability and AI gateway — logs every prompt, response, cost, and latency across 20+ providers with a one-line proxy or async SDK, plus caching, retries, and prompt experiments.
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FreeLangfuse
🔴DeveloperLLM Observability
Langfuse is an open-source LLM observability and engineering platform providing tracing, prompt management, evaluations, and dataset management for production AI applications.
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FreeFeature Comparison
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💡 Our Take
Choose Helicone if your priority is cost analytics, caching, and rate limiting with a 5-minute proxy setup that requires no SDK installation. Choose Langfuse if you need deep multi-step agent tracing, prompt management, and evaluation workflows with parent-child span hierarchies. Many teams use both — Helicone at the gateway for cost controls, Langfuse via SDK for tracing depth.
Helicone - Pros & Cons
Pros
- ✓5-minute proxy integration captures full traces, cost, and latency across 20+ providers
- ✓Real AI gateway features (caching, retries, fallback, key vault) replace a custom proxy
- ✓MIT-licensed and self-hostable on Postgres + ClickHouse — passes regulated procurement
Cons
- ✗Proxy mode adds a network hop unless self-hosted in your own region
- ✗Prompt experiment UX is less mature than dedicated eval platforms like Braintrust
- ✗Self-hosting requires running ClickHouse, which is an extra ops surface
Langfuse - Pros & Cons
Pros
- ✓Open source with free self-hosting — full feature parity without usage limits
- ✓Free Hobby tier on cloud with no credit card — lowest barrier to entry in the category
- ✓Trace graphs for multi-agent systems are genuinely useful for debugging complex failures
- ✓Prompt management + evals turns prompt engineering into a systematic, measurable process
- ✓40,000+ builders using it — extensive community resources and integrations
- ✓Integrates natively with LangChain, LlamaIndex, OpenAI SDK, and Anthropic
Cons
- ✗Pro plan units pricing ($8/100k) can add up for high-volume production applications
- ✗Enterprise SSO requires the $300/month Teams add-on on top of Pro — costly for mid-size teams
- ✗Self-hosting requires Docker/Kubernetes operational knowledge
- ✗UI can feel overwhelming for teams who just want simple cost/latency dashboards
- ✗Real-time alerting features are less developed than commercial-first alternatives like Arize
- ✗Enterprise tier at $2,499/month is priced for large organizations — no mid-market option
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