Project Title

langfuse — Open Source LLM Engineering Platform for Observability, Metrics, and Evaluations

Overview

Langfuse is an open-source LLM (Large Language Model) engineering platform that offers observability, metrics, evaluations, prompt management, and a playground for developers. It integrates with various tools like OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more, providing a comprehensive solution for managing and optimizing LLMs.

Key Features

LLM Observability and Metrics
Evaluations and Prompt Management
Integration with OpenTelemetry, Langchain, OpenAI SDK, and LiteLLM
Playground for experimenting with LLMs

Use Cases

Developers and data scientists using LLMs for building applications
Enterprises needing to monitor and optimize their LLM usage
Researchers and academics evaluating LLM performance and capabilities

Advantages

Open-source and community-driven development
Integration with popular tools and frameworks
Comprehensive feature set for LLM management and optimization

Limitations / Considerations

As an open-source project, it may require community support for certain features or integrations
Performance and scalability may vary depending on specific use cases and configurations

Hugging Face Transformers: A library of pre-trained models for Natural Language Processing, differing in its focus on model availability rather than engineering tools.
OpenAI SDK: Provides access to OpenAI's models and capabilities, but lacks the comprehensive engineering platform features offered by Langfuse.

Basic Information

GitHub: https://github.com/langfuse/langfuse
Stars: 13,743
License: Unknown
Last Commit: 2025-07-16

📊 Project Information

Project Name: langfuse
GitHub URL: https://github.com/langfuse/langfuse
Programming Language: TypeScript
⭐ Stars: 13,743
🍴 Forks: 1,257
📅 Created: 2023-05-18
🔄 Last Updated: 2025-07-16

🏷️ Project Topics

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📚 Documentation

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langfuse

Project Description