Humanloop vs Langfuse
Detailed side-by-side comparison to help you choose the right tool
Humanloop
🔴DeveloperLLM evaluation and governance
an LLM development platform for prompt management, evaluations, logging, and trustworthy AI product iteration; the homepage announces the team joining Anthropic.
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DiscontinuedLangfuse
🔴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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💡 Our Take
Choose Anthropic Console (post-Humanloop) if you're a Fortune 500 Claude customer who values managed infrastructure and direct vendor accountability. Choose Langfuse if you need open-source self-hosting for data residency or air-gapped deployments, prefer a generous free tier for early-stage products, or want a model-agnostic platform that won't lock you into a single LLM provider — capabilities the standalone Humanloop offered but the integrated version no longer does.
Humanloop - Pros & Cons
Pros
- ✓Pricing page lists a free starting point: 2 members, 50 eval runs, and 10K logs per month.
- ✓Enterprise features include SSO/SAML, role-based access controls, SLA support, and VPC deployment add-on.
- ✓Strong fit for teams that need prompt engineering, evaluations, logs, and trustworthy LLM app iteration.
Cons
- ✗Homepage announces the Humanloop team is joining Anthropic and says the platform is being sunset, so new buyers must verify availability.
- ✗Enterprise pricing is custom and likely requires sales engagement.
- ✗No MCP support was visible in fetched pages.
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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