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langfuse

🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

28.5k stars2.9k forks95 watchers325 open issuesTypeScriptNOASSERTION

TL;DR · 30-second scan

What it is

langfuse (TypeScript)🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

What it does for you

You're running LLMs in production and need traces, evals, and prompt versioning in one place.

Best for

Analytics · AI & ML

28.5k GitHub starsLicense: NOASSERTIONLast updated 1 day ago
EDITOR'S DEEP TAKE

Open-source LLM observability that actually scales. ~9k stars. Trace every prompt, score completions, run evals, manage prompts as code. Used by Khan Academy, Sumup, Twilio. The hosted tier is cheap; self-host on Postgres + ClickHouse if you have PII concerns. The competitor space (Helicone, Phoenix, LangSmith) is crowded — Langfuse wins on "framework-agnostic + production-ready".

Use this if

You're running LLMs in production and need traces, evals, and prompt versioning in one place.

Skip if

You're prototyping — console.log is enough until you ship.

Topics
analyticsllmllmopslarge-language-modelsopenaiself-hostedycombinatormonitoringobservabilityopen-sourcelangchainllama-indexevaluationprompt-engineeringprompt-managementplaygroundllm-evaluationllm-observabilityautogen
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Created 18 May 2023
Last push 1 day ago
Stats refreshed 1 day ago