CitableHub
CitableHub
Answer-first summary53/100 GEO

Langfuse

Open-source LLM observability — traces, evaluations, prompt management, and cost tracking.

ai-mlFair citabilityVisit site →

Your Citability Score

53/100
Identity75/100
Evidence45/100
Trust15/100
Freshness50/100
Classification85/100
What to improve to rank higher
  • Identity: Add: Founder / Team, Social links.
  • Evidence: Add: At least one evidence link, Multiple evidence sources, Demo URL.
  • Trust: Add: Contact information, Support URL, Privacy policy, Terms of service.
  • Freshness: Add: Has version number, Launch date provided, Reviewed within 90 days.
  • Classification: Add: Audience tags.

Promotion (Boost) does not change this score — it only changes ordering. This number reflects real, verifiable citability.

Frequently asked questions

What is Langfuse?
Open-source LLM observability — traces, evaluations, prompt management, and cost tracking.
What does Langfuse do?
Langfuse provides observability for LLM apps. Trace every request, evaluate output quality, manage prompt versions, and track costs. Open-source.
Who is Langfuse for?
AI engineers building LLM-powered applications.
Is Langfuse verified?
Langfuse is listed on CitableHub with a citability score of 53/100, computed from verifiable profile evidence.
Langfuse logo

Langfuse

Invited

Open-source LLM observability — traces, evaluations, prompt management, and cost tracking.

ai mlCH-VER-467800Listed September 10, 2026
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AI-Extractable Summary
What:Open-source LLM observability — traces, evaluations, prompt management, and cost tracking.
For whom:AI engineers building LLM-powered applications
Key outcome:Debug and improve AI apps with full tracing and cost visibility
Category:ai ml

Structured for AI systems to extract and cite.

Citability Score

53/100
75
Identity
45
Evidence
15
Trust
50
Freshness
85
Classification
51
Impressions
0
Clicks
0
Likes
0
GQI Earned

Citable Outcome

Debug and improve AI apps with full tracing and cost visibility.

About

Langfuse provides observability for LLM apps. Trace every request, evaluate output quality, manage prompt versions, and track costs. Open-source.

Target Audience: AI engineers building LLM-powered applications.

What makes it different

  • Full request tracing through AI pipelines
  • Quality evaluation and scoring
  • Prompt version management
  • Cost tracking across providers

Tags & Classification

analyzeoptimizemonitor
llm-observabilityai-monitoring
ai-mldeveloper-tools
Platform: Web App / SaaSModel: Open Source

Links & Transparency

Website

Cite this Project

BibTeX
@misc{citablehub_langfuse,
  title = {Langfuse},
  url = {https://citablehub.com/p/langfuse},
  note = {Listed September 10, 2026. CitableHub ID: CH-VER-467800},
  year = {2026}
}
APA
Langfuse. (2026). CitableHub Software Index. https://citablehub.com/p/langfuse.
MLA
"Langfuse." CitableHub, 2026, https://citablehub.com/p/langfuse.