Staxly
ai-observability

Langfuse

Open-source LLM engineering platform — observability, prompts, evals

OSS LLM engineering platform. MIT-licensed. Observability + prompt mgmt + evals + datasets + playground. Free Cloud (50k units) + Core $29 + Pro $199 + Self-host.

Langfuse websiteDocs ↗

Pricing

TierPriceNotes
Hobby (Cloud Free)FreeFree. 50k units/month included. 30 days data access. 2 users. Community support.
Self-Hosted (OSS)FreeMIT-licensed. Docker Compose or Kubernetes deployment. Unlimited.
Core$29/mo$29/month. 100k units included ($8 per 100k overage). 90 days retention. Unlimited users. In-app support.
Pro$199/mo$199/month. 100k units included + same overage. 3 YEARS retention. Unlimited annotation queues. High rate limits.
Teams Add-on$300/mo+$300/month. Adds Enterprise SSO + fine-grained RBAC + dedicated Slack support to Pro.
Enterprise$2499/mo$2,499/month. Everything + custom rate limits, uptime SLA, dedicated support engineer. Yearly options.

Limits

TierMetricValueNotes
annotation queues proUnlimited on Pro+Annotation queues
billing unit1 unit = 1 trace OR 1 observation (span/generation/event) OR 1 eval scoreWhat counts as a unit
eu regionEU data region available for GDPREU hosting
framework agnosticWorks with ANY LLM stack via decorators / OTel / SDKFramework support
graduated pricing$8/100k (100k-1M), $7/100k (1M-10M), $6.50/100k (10M-50M), $6/100k (50M+)Graduated pricing
licenseMITOSS license
playgroundBuilt-in multi-provider prompt playgroundPlayground
self host parityFull feature parity between Cloud and self-hostSelf-host parity

Features

Developer interfaces

SlugNameKindVersion
dashboardLangfuse Dashboardother
sdk-nodelangfuse-jssdk4.x
mcpLangfuse MCP Servermcp
sdk-pythonlangfuse-pythonsdk3.x
rest-apiLangfuse REST APIrestv1
otel-endpointOpenTelemetry endpointother

Compare Langfuse with

Staxly is an independent catalog of developer platforms. Outbound links to Langfuse are plain references to their official pages. Pricing is verified at publication time — reconfirm on the vendor site before buying.