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Langfuse

Open-source LLM engineering platform with tracing, evaluations, prompt management, and datasets for debugging AI apps.

View on GitHub Official site
Monitoring Observability MIT Medium setup 23,300 stars

Overview

Plain English

Open-source LLM engineering platform with tracing, evaluations, prompt management, and datasets for debugging AI apps.

Technical

Open-source LLM engineering platform with tracing, evaluations, prompt management, and datasets for debugging AI apps.

Technical scorecard

License MIT
Commercial use Yes
OpenAI-compatible API No
REST API No
Fine-tuning support No
Quantization support No
Docker available No
GUI / no-code available No
Telemetry None
Offline after setup Yes

Data & Privacy

Does it send data online?

After setup, this listing is marked as usable offline. Confirm network behavior against the upstream project before regulated deployment.

Does it store history?

Not verified in this directory yet. Review the upstream docs for persistence, logs, and workspace storage.

License checks?

Commercial use is marked as allowed or likely allowed by the listed license.

Telemetry?

None

Last verified: May 16, 2026. Maintainer verification should be treated as directory guidance, not legal advice.

Setup & Installation

Medium

A developer can usually get this running with standard docs.

Prerequisites

TypeScript / JavaScript, Python, Docker, Kubernetes, Bare Metal

# Start with the official project documentation
# https://langfuse.com/

Hardware Requirements

RAM8 GB minimum / 16 GB recommended
Hardware tagsCPU Only
Model formatsNot specified
Primary languageTypeScript / JavaScript, Python

Works Well With