⚡Stack Radar

AI Observability · Reviewed 19 Oct 2026

Langfuse

Open-source AI engineering platform for tracing, evaluating, and improving LLM applications.

from $29 · free tier · langfuse.com ↗

Paid against free › AI Observability › Langfuse

Langfuse at a glance

SEO analysis

Collected Oct 19, 2026

langfuse.com: an estimated 722,879 total monthly visits and about 7,953 monthly organic visits across 1,661 ranking keywords. Scout crawled 15 pages and measured a technical health score of 99/100.

722.9KEstimated total trafficModeled monthly visits1.7KRanking keywordsPublic search sample99/100Technical health15 pages checked9.5KReferring domainsLive backlink summary

Overview

01

Summary

The useful answer before the supporting detail.

Langfuse is an open-source AI engineering platform that helps teams debug, analyze, and iterate on AI agent applications S11. It is used by engineers and companies building production-grade LLM applications, addressing the need for observability and evaluation across the development lifecycle S1. The platform integrates tracing, monitoring, prompt management, and evaluation in one continuous loop, enabling teams to ship better agents with confidence S58.

02

Product identity and positioning

Name, category, positioning, audience, and first-party claims.

  • Identity: Langfuse is an open-source AI engineering platform for LLM applications S1.
  • Core purpose: Helps teams build production-grade LLM applications faster by providing observability and evaluation tools S1.
  • Intended users: Engineering teams and companies developing LLM-based applications S1.
  • Product scope: A platform that connects tracing, monitoring, datasets, experiments, and evaluation in one integrated loop S58.
  • Positioning: Positioned as the most widely adopted LLM engineering platform, trusted by 50,000+ companies S1.
  • Claimed distinction: Claims to be the most widely adopted LLM engineering platform with 36,020 GitHub stars and 65M+ SDK installs per month S1.
03

Use cases and audiences

Who the product serves and the jobs it is designed to handle.

AudiencePractical use case
AI engineering teamsDebug and analyze AI agent applications collaboratively S11.
Production teamsMonitor production health and evaluate live traffic S11.
Prompt engineersManage, version, and optimize prompts throughout the development lifecycle S11.
Experimentation teamsRun experiments against datasets to test new prompt versions S11.

Features

09

Features and capabilities

Core functions and evidence-backed product capabilities.

CapabilityWhat it does
TracingTrack every LLM call and other relevant logic in your app, including non-LLM calls like retrieval and embeddings S11.
Session trackingTrack multi-step conversations or agentic workflows as sessions S11.
Prompt managementCreate, version, and deploy prompts via UI, API, or SDKs, with one-click rollbacks S11 S58.
EvaluationScore production traces using LLM-as-a-judge, code evaluators, user feedback, or custom pipelines S11.
MonitoringMonitor cost, latency, and quality with dashboards and automated alerts S58.
Data exportExport large volumes of data on a schedule to blob storage or download filtered one-off exports S22.
Agent skillInstall a skill for coding agents to access tracing, prompt management, and documentation from the editor S25.
10

Integrations and ecosystem

Connected products, exports, APIs, and workflow compatibility.

Integration or interfaceTypeWhat it enables
Native SDKs for Python/JSSDKCapture traces and interact with the platform from your application S11.
OpenTelemetryIntegrationWorks with any language and framework supporting OTel instrumentation S58.
100+ library/framework integrationsIntegrationIntegrate with popular frameworks like OpenAI SDK, LangChain, and LlamaIndex S11.
REST APIAPIManage prompts, datasets, projects, and other resources programmatically S22.
CLICLIInteract with the full Langfuse API from the terminal S31.
MCP ServerMCPConnect AI tools that cannot run shell commands to Langfuse S22.
WebhooksWebhookGet notified when a metric crosses a threshold S11.
Blob storage exportData portabilityExport large volumes of data on a schedule S22.

Pricing

11

Pricing and plans

Published plans, free access, trials, credits, and pricing limitations.

Plan or offerVerified price and billingIncludedLimits
HobbyFree, monthly50k units per monthCommunity support S167
Core$29 per month100k units per monthAdditional units $8 per 100k S167
Pro$199 per month100k units per monthData retention management S167
Enterprise$2,499 per month100k units per monthEnterprise features S167
Teams add-on$300 per monthNot applicableEnterprise SSO S167

Competition

12

Competitive landscape

Domains competing for the same organic search demand.

Sampled competitors

CompetitorFirst-page appearancesSampled queriesAverage positionQueries observed
api.reference.langfuse.com112langfuse api
youtube.com112langfuse cloud
railway.com114langfuse cloud
github.com115langfuse api
reddit.com115langfuse cloud
ajay-arunachalam08.medium.com117langfuse cloud

Website intelligence — Collected evidence

Customers, testimonials, and first-party review claims

No supporting public-page evidence was collected for this category.

Independent review sources discovered

PlatformStatusDiscovered source
Googlediscovered_not_scrapedhttps://cloud.google.com/storage/docs/access-control/iam#conditions
Googlediscovered_not_scrapedhttps://cloud.google.com/storage/docs/uniform-bucket-level-access
Googlediscovered_not_scrapedhttps://cloud.google.com/storage/docs/authentication/hmackeys
Googlediscovered_not_scrapedhttps://cloud.google.com/storage/docs/pubsub-notifications
14

AI visibility

Measured ChatGPT and Google AI mentions with cited sources.

AI-assistant referral traffic

  • Estimated current generative-AI referral share: 1.9%
MonthSource
—All AI assistants
—All AI assistants
—All AI assistants

Website intelligence — Collected evidence

Site-stated AI capabilities

Page typeEvidenceSource
otherTrace, evaluate, and improve AI agents with one open platform. Use production data to understand behavior, collaborate on fixes, and ship better quality at lower cost and latency.https://langfuse.com/
otherTrace, evaluate, and improve AI agents with one open platform. Use production data to understand behavior, collaborate on fixes, and ship better quality at lower cost and latency.https://langfuse.com/
otherCanva's AI team relies on Langfuse to trace and debug their generative design features in production.https://langfuse.com/
features\MCP Server \
featuresThe Langfuse agent skill helps AI coding agents use Langfuse effectively. It follows the open Agent Skills standard and works with Claude Code, Cursor, Windsurf, and other compatible agents. The skill is open source on GitHub.https://langfuse.com/docs/api-and-data-platform/features/agent-skill
featuresThe Langfuse CLI wraps the entire Langfuse API so you can interact with Langfuse directly from the terminal. It is built for AI coding agents and power users who prefer the command line.https://langfuse.com/docs/api-and-data-platform/features/cli
featuresOverviewExample ProjectAsk AIhttps://langfuse.com/docs/api-and-data-platform/overview
featuresBilling based on LLM costs tracked in Langfusehttps://langfuse.com/docs/api-and-data-platform/overview
featuresCorrelation of LLM Evals with observed user behavior in Data Warehousehttps://langfuse.com/docs/api-and-data-platform/overview
features\MCP Server \
featuresOverviewExample ProjectAsk AIhttps://langfuse.com/docs/api-and-data-platform/features/agent-skill
featuresThe Langfuse agent skill helps AI coding agents use Langfuse effectively. It follows the open Agent Skills standard and works with Claude Code, Cursor, Windsurf, and other compatible agents. The skill is open source on GitHub.https://langfuse.com/docs/api-and-data-platform/features/agent-skill
featuresOverviewExample ProjectAsk AIhttps://langfuse.com/docs/api-and-data-platform/features/cli
integrationsOverviewExample ProjectAsk AIhttps://langfuse.com/docs/evaluation/experiments/datasets
integrationsOverviewExample ProjectAsk AIhttps://langfuse.com/docs/evaluation/experiments/experiments-via-ui
integrationsOptionally, you can use LLM-as-a-Judge Evaluators or code evaluators to automatically score the responses based on the expected outputs to further analyze the results on an aggregate level.https://langfuse.com/docs/evaluation/experiments/experiments-via-ui
integrationsOptionally use LLM-as-a-Judge or code evaluators to score the responses based on the expected outputs from the datasethttps://langfuse.com/docs/evaluation/experiments/experiments-via-ui

These are first-party product claims, not independent measurements of AI-search visibility.

15

Marketing opportunities

Actions calculated directly from the collected evidence.

OpportunityRecommended actionEvidence
Competitor gapReview the sampled queries where api.reference.langfuse.com appears.1 first-page appearances across langfuse api

Website intelligence — Collected evidence

Website evidence gaps

  • customers: no usable public page was collected; verify whether the site publishes this evidence.
  • reviews: no usable public page was collected; verify whether the site publishes this evidence.
  • changes: no usable public page was collected; verify whether the site publishes this evidence.
  • identity: no usable public page was collected; verify whether the site publishes this evidence.
  • technical: no usable public page was collected; verify whether the site publishes this evidence.

Trust and proof

16

Customers, proof, and reviews

Published proof, customer signals, and review evidence.

Independent reviews

PlatformPageHow it was foundNote
Enterprise DNALangfuse: What Engineers Actually Found — Enterprise DNAGrounded web searchThe pitch is simple. Langfuse is an open source LLM observability platform that handles tracing, evaluation, prompt management, and ... tracking. It runs self-hosted via Docker or as a managed cloud. The GitHub repo sits around 8k stars as of mid-
Product HuntLangfuse Reviews (2026) / Product HuntGrounded web searchReviewers mostly see Langfuse as a practical observability tool that helps teams trace LLM calls, debug failures faster, monitor usage, costs, latency, and hallucinations, and version prompts without much setup. Users often praise easy integration, helpful SDKs, strong support, and the self-hosted option for regulated environments. Founders of products like Magic Patterns and Agentplace.io say it is core to tracing and improving agent quality. The main caution: complex, long-running agent traces
StackinsightSwitched from HoneyHive to Langfuse, saved 30% on observability spendGrounded web search1. Real Monthly Cost: With HoneyHive, our projected bill for ~15M events/month was pushing $1,600 on their Growth tier. Langfuse Cloud for the ... . The big difference is Langfuse's open pricing per unit (1k events = $0.08); with HoneyHive, we'd have
ThoughtWorks Technology RadarLangfuseGrounded web searchopen-source LLM engineering platform covering observability, ... . The project has matured significantly since we last assessed it. The v3 architecture introduces ClickHouse, ... -end components, making it more scalable but also more complex to self-host
Product HuntLangfuse: Open Source LLM Engineering Platform / Product HuntGrounded web searchsaid, it's not perfect for complex agent workloads. When your trace is a ... run with 15+ tool calls, the observation list view gets hard ... parse fast. It's observation-first by design, which makes sense for prompt-centric apps but feels limiting
techstackvs.comLangfuse Alternatives, Pricing & Reviews / TechStackVSGrounded web search) — non-trivial infra for small teams. 50K free units/month may not cover real production workloads — teams outgrow it quickly. Trace/span/generation data model has a learning curve; correct instrumentation takes time.

Customer proof

No named customers, testimonials, or customer case studies were found.

Independent mentions

External links were grounded in one live web search. Search snippets are leads, not independently scraped page content; rejected links remain available in Review evidence.

17

Company, security, and trust

Ownership, policies, security signals, and public trust evidence.

SignalFindingSource
Company and ownership/ Marc Klingen / Co-Founder & CEO / X, LinkedIn, GitHub /source
Contact and supportNot published on the collected pages.—
Legal and privacy/ Data processing agreement (GDPR) /source
Security and compliance\_\_Secure-next-auth.csrf-token.HIPAAsource
Uptime and status pageNot published on the collected pages.—
Domain registered2023-04-20—
Domain expires2027-04-20—

Not found on the collected pages: contact and support, uptime and status page. This only means Scout did not find it on the pages it read; it says nothing about the company itself.

18

Documentation and product updates

Help resources, product guidance, and visible changes over time.

Resource or updateTypeWhat is availableDate or freshness
Open Source AI Engineering Platform - LangfuseDocumentationLangfuse is an open-source AI engineering platform (GitHub) that helps teams collaboratively debug, analyze, and iterate on their AI agent applications. All platform features are natively integrated to accelerate the development workflow. (source)Not dated
OpenAI AI model pricing now available in Langfuse - LangfuseChangelogDay 1 support for OpenAI AI model including tracking token counts and USD spend. (source)Not dated
Product FAQFAQAnswers common product, workflow, pricing, privacy, ownership, API, and team questions. (source)Not dated
Improved In-Product Onboarding - LangfuseChangelogNew onboarding screens that introduce the capabilities of Langfuse features that are not yet used within a project. (source)Not dated
Customize Product Module Visibility - LangfuseChangelogControl which product modules are visible in the main menu through environment variables when self-hosting Langfuse (source)Not dated
Enable feature previews for your organization - LangfuseChangelogOrganization admins can roll out previews to all current and future members, with global personal opt-outs and per-user controls. (source)Not dated
Open Source LLM API & Data Platform - LangfuseDocumentationLangfuse is designed to be extensible and flexible. People using Langfuse are building all kinds of workflows and customizations on top of it. This is powered by our open data platform. (source)Not dated
Agent Skill - LangfuseDocumentationInstall the Langfuse agent skill to give your coding agent access to Langfuse tracing, prompt management, datasets, and documentation — right from the editor. (source)Not dated

Not found in the collected public sources: public roadmap, status page, separate help center or knowledge base.

Technical

19

Technical and delivery signals

Delivery model, platforms, API, data ownership, reliability claims and release activity.

SignalFindingSource
Delivery model (cloud, self-hosted, desktop, browser extension)Langfuse is available as a cloud service (Langfuse Cloud) or self-hosted S167.S167
Platforms and appsLangfuse is a web application; no native mobile or desktop apps are mentioned S11.S11
API and extensibility (API, SDK, webhooks, MCP, plugins)Provides REST APIs, native SDKs for Python/JS, a CLI, MCP server, and webhooks S31 S11 S22.S31 S11 S22
Data ownership and exportData can be exported via blob storage export or one-off exports from the UI S22.S22
Performance and reliability claimsLangfuse v4 claims to be up to 165× faster S1.S1
Release activityLangfuse has weekly releases and community hours S58.S58
20

Measured infrastructure

Domain, certificate, and hosting signals, measured directly.

SignalFinding
Domain registered2023-04-20 — Cloudflare, Inc.
Domain expires2027-04-20
TLS certificateLet's Encrypt, valid, expires 2026-12-16
Security headersHSTS, CSP, X-Content-Type-Options, X-Frame-Options, Referrer-Policy
Server headerVercel
Mail handled byaspmx.l.google.com, alt1.aspmx.l.google.com
Nameserverselisabeth.ns.cloudflare.com, chad.ns.cloudflare.com

Not measurable: wayback: rate limited by archive.org, ladder stopped after 1 probe(s); rdap: exceeded the overall budget; wayback: exceeded the overall budget; tls: exceeded the overall budget; dns: exceeded the overall budget; headers: exceeded the overall budget. A gap here means the lookup was unavailable, not that the finding is negative.

21

Technical site audit

A bounded multi-page crawl with page-level issues and URLs.

Scout — Bounded technical crawl

  • Pages crawled: 15 of 15 maximum
  • Technical health: 99/100
  • Critical issues: 0
  • Warnings: 1
  • Notices: 5

Issues

SeverityIssueValueAffected URL
noticeMeta description length should be reviewed179https://langfuse.com/
noticeMeta description length should be reviewed238https://langfuse.com/docs
noticeMeta description length should be reviewed174https://langfuse.com/docs/observability/overview
noticeMeta description length should be reviewed366https://langfuse.com/docs/evaluation/overview
warningTitle length should be reviewed66https://langfuse.com/workshop
noticeMeta description length should be reviewed180https://langfuse.com/workshop

Crawled pages

StatusTitleH1sWordsResponseURL
200Langfuse: Open Source Agent Evals & Observability1164275 mshttps://langfuse.com/
200Langfuse v4: Faster at Scale - Langfuse1110667 mshttps://langfuse.com/changelog/2026-08-17-langfuse-v4
200Careers at Langfuse - Langfuse1118680 mshttps://langfuse.com/careers
200Open Source AI Engineering Platform - Langfuse11344184 mshttps://langfuse.com/docs
200LLM Observability & Application Tracing (Open Source) - Langfuse176975 mshttps://langfuse.com/docs/observability/overview
200Open Source Prompt Management - Langfuse156747 mshttps://langfuse.com/docs/prompt-management/overview
200Evaluation of LLM Applications - Langfuse167579 mshttps://langfuse.com/docs/evaluation/overview
200LLM Metrics & Analytics - Langfuse1457106 mshttps://langfuse.com/docs/metrics/overview
200Get Started with LLM Tracing - Langfuse1355486 mshttps://langfuse.com/docs/observability/get-started
200Langfuse Academy - Langfuse1514157 mshttps://langfuse.com/academy
200Langfuse Workshop - the AI engineering loop, end to end - Langfuse197258 mshttps://langfuse.com/workshop
200Blog - Langfuse191466 mshttps://langfuse.com/blog
200Changelog - Langfuse11677868 mshttps://langfuse.com/changelog
200Roadmap - Langfuse1769258 mshttps://langfuse.com/docs/roadmap
200Example Project - Langfuse1688263 mshttps://langfuse.com/docs/demo

This is a bounded Scout crawl. Core Web Vitals and Lighthouse scores are not claimed unless a dedicated performance audit is connected.

22

Search Console and Analytics

First-party search and behavioral data connection state.

Modeled acquisition channels

ChannelEstimated share
direct60.9%
search23.4%
search organic21.7%
search paid1.7%
social3.4%
social organic2.7%
social paid0.8%
referrals7.2%
paid referrals1.5%
mail1.7%
gen ai1.9%
affiliate0.0%
other0.0%

First-party connections

IntegrationStatusData available after connection
Google Search ConsoleNot connectedClicks, impressions, CTR, average position, queries, pages, countries, and devices
Google AnalyticsNot connectedOrganic sessions, engagement, landing pages, conversions, geography, and devices

No first-party Search Console or Analytics numbers are shown until the site owner authorizes the corresponding Google account. Scout traffic model values above are modeled estimates, not private analytics totals.

Limits and method

23

Limitations and open questions

Known constraints and missing evidence from the collected pages.

The collected pages do not mention any competitors by name. Evidence gaps include lack of detailed customer reviews, independent review ratings, and specific uptime or performance metrics beyond the v4 speed claim. Open questions include the exact scope of the free tier limits and whether the self-hosted version includes all features.

24

Sources, method, and limitations

Evidence inventory, collection method, provider use, and constraints.

This report is based on 15 collected pages from langfuse.com, including the homepage, documentation, pricing, and about pages. The collection used static and browser rendering rendering, with a sitemap covering 500 URLs. External proof search was enabled but only performed one web search; no external review profiles were scraped. Limitations include potential missing details from pages not collected and the reliance on vendor-provided claims.

Paid against free, in your inbox

One job at a time: the paid tools worth paying for, the free ones you can run yourself, and who should pick which.

No tracking pixels. One click to leave. We use your address to send Stack Radar and nothing else. Privacy.