
AI visibility report
AI visibility report for Langfuse in AI/ML Infrastructure & LLM Tools.
Outside the top three on 19 of the 25 prompts buyers actually ask.
Braintrust is cited on 8 of those losses.
Free trial. Setup comes pre-filled for Langfuse.
Also benchmarked
Langfuse appears in another vertical
Track Langfuse across these prompts daily.
Start free trialStill absent from 99.3% of tracked prompt responses
Top-3 citations across 150 prompt × platform pairs
Peer Ranking
Key Metrics
Platform Breakdown
Research dossierCapabilities, use cases, sources, reviews, pricing, and FAQ
Overview
Langfuse is an open-source LLM engineering platform founded in 2022 (YC W23) and acquired by ClickHouse in January 2026. It provides a unified suite for LLM observability, prompt management, evaluation, and experiment tracking, enabling engineering and product teams to debug, monitor, and iteratively improve AI applications and agents in production. Built on OpenTelemetry with a ClickHouse OLAP backend, it processes over 10 billion observations per month and serves 2,300+ customers including 19 of the Fortune 50. The platform is MIT-licensed, supports full self-hosting across major cloud providers, and integrates with 80+ frameworks and model providers. It claims 26,000+ GitHub stars and 100,000+ engineers building on the platform.
Langfuse is an open-source LLM engineering platform that covers the full AI application development lifecycle: hierarchical tracing and agent observability (OTel-native), prompt management with versioning and caching, automated and human evaluation pipelines, structured experiments, and production cost/latency dashboards. It is framework- and model-agnostic, self-hostable under MIT license, and integrates with 80+ tools including LangChain, LiteLLM, LlamaIndex, OpenAI, and Anthropic. Following its January 2026 acquisition by ClickHouse, its ClickHouse-backed data layer supports billions of monthly observations at enterprise scale.