coding

Langfuse

Open source platform that traces, evaluates and monitors LLM apps and agents, self-hosted or in the cloud.

How the 8.0 was reached

  1. Quality of output8/10

    GitHub has 35,205 stars and active pushes; vendor cites Fortune 50 usage. github.com

  2. Ease of use8/10

    Free tier of 50k observations and a step-by-step guide to a first trace with OpenAI, LangChain or SDKs. langfuse.com

  3. Pricing value8/10

    Free Hobby plan and self-hosting; paid from $29 a month with published overage rates. langfuse.com

  4. API and integration quality8/10

    SDKs and integrations with OpenAI and LangChain; self-hosting guides for Docker, Kubernetes and Terraform. langfuse.com

  5. Solves the problem it claims to solve8/10

    Hierarchical tracing with filters is documented, and 35K stars show adoption for open source LLM observability. github.com

8.0/10 is the mean of the 5 criteria that apply. Scored on the five-criteria rubric v1, 29 September 2026. How scoring works

Pricing

Hobby
Free
  • 50k observations per month on the free tier
Core
$29/month
  • 100k units per month included
Pro
$199/month
  • 100k units per month included
Enterprise
$2499/month
  • Extra usage at $8 per 100k units, with volume discounts

Key Features

  • Hierarchical traces for LLM calls, tool invocations and retrieval steps
  • Filters by user, session, cost, latency and custom metadata
  • Prompt management and evaluation metrics
  • SDKs and integrations for OpenAI and LangChain
  • Self-hosting guides for Docker Compose, Kubernetes (Helm) and Terraform on AWS, GCP and Azure

Pros & Cons

Pros

  • Free Hobby plan and self-hosting option
  • About 35.2k GitHub stars point to wide adoption
  • Langfuse says 21 of the Fortune 50 use it
  • Published overage rates make costs easy to predict

Cons

  • Enterprise plan at $2499 a month is a big step up from Pro
  • Joined ClickHouse, which may shift its direction
  • Usage-based overage can add up at high volume
  • Best suited to teams that already instrument their code
Verdict

A strong default for teams that want LLM tracing and evals with an open source, self-hostable base. Very small projects may not need the full platform, and buyers on a fixed budget should model overage costs.

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