Langfuse
Open-source LLM observability and analytics
Overview
Langfuse is the leading open-source LLM observability platform — traces, evaluations, prompt management, costs and analytics for LLM applications. Self-host (MIT licensed) or use the cloud-hosted SaaS. Strong adoption among teams running LLM products at production scale.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 19 May 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
Use cases
ASEAN Perspective
Langfuse in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
Langfuse is a leading open-source LLM observability platform covering tracing, prompt management, evaluations, cost tracking and analytics, with framework-agnostic SDKs that work well alongside LangChain, LlamaIndex or raw API calls. It suits engineering teams who want production-grade LLM monitoring with the option to self-host for data control rather than being locked into a vendor cloud.
It is one of the strongest tools in its niche; the main caveats are that you take on ops overhead if self-hosting, and the breadth of features means some setup investment. Globally available, transparent open-core pricing, well-documented SDKs. No SEA-specific residency, but self-hosting lets regional teams keep data local.
About this listing
This entry was compiled from publicly available data including Langfuse's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Langfuse unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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