Langfuse
Open-source LLM observability and evaluation platform for tracing AI application calls
Overview
Langfuse provides tracing, prompt management, evaluation, and cost analytics for LLM applications. It integrates with LangChain, LlamaIndex, OpenAI SDK, and raw API calls via SDKs for Python, JavaScript, and more. The self-hosted version uses Docker Compose with PostgreSQL and ClickHouse for analytics.
Where it falls short of OpenAI API
- Some advanced evaluation and annotation features are cloud-only
- ClickHouse dependency adds significant infrastructure overhead
- No built-in alerting or on-call integrations
We list the gaps honestly so you can decide if the trade-off is worth owning your data.
Tags
Claim this listing to keep it accurate, add a deploy template, or feature it on relevant pages.
Embed the Langfuse difficulty badge in your README — it links back here.
[](https://openreplace.com/langfuse)Similar open-source projects
Other self-hostable tools in the same space worth comparing.
Run large language models locally with a simple CLI and REST API
The most widely used web interface for running Stable Diffusion image generation locally
Feature-rich self-hosted chat UI for Ollama and OpenAI-compatible APIs
Modern AI chat framework with multi-provider support and MCP marketplace