Langfuse
Open-source observability and analytics for LLM apps
Langfuse is an open-source platform for tracing, evaluating, and monitoring LLM applications. It captures detailed traces, manages prompts, and provides analytics dashboards for production AI systems.
Key features
- LLM tracing and analytics
- Prompt management
- Evaluation tooling
- Self-hostable
Strengths
- Released under the MIT license
- First-class Docker support for quick deployment
- Kubernetes-ready with Helm charts available
- Mature project with 32.7k GitHub stars
Langfuse replaces
Compare Langfuse
18 head-to-head comparisons.
- Langfuse vs OpenClaw
- Langfuse vs Hermes Agent
- Langfuse vs OpenCode
- Langfuse vs Hugging Face Transformers
- Langfuse vs Langflow
- Langfuse vs Dify
- Langfuse vs PaddleOCR
- Langfuse vs RAGFlow
- Langfuse vs OpenHands
- Langfuse vs screenshot-to-code
- Langfuse vs promptfoo
- Langfuse vs DeepEval
- Langfuse vs Ragas
- Langfuse vs Prompt flow
- Langfuse vs Arize Phoenix
- Langfuse vs OpenLLMetry
- Langfuse vs Agenta
- Langfuse vs Weave
Similar self-hosted ai apps
OpenClaw
Self-Hosted AIThe AI that actually does things
Hermes Agent
Self-Hosted AIThe AI agent that grows with you
OpenCode
Self-Hosted AIThe open source AI coding agent
Hugging Face Transformers
Self-Hosted AIState-of-the-art machine learning model library
Replaces OpenAI API
Langflow
Self-Hosted AIVisual framework for building AI agents and RAG pipelines
Replaces Vertex AI Agent Builder
Dify
Self-Hosted AIOpen-source platform for building production LLM apps
Replaces OpenAI Assistants, Vertex AI Agent Builder