Langfuse vs Ragas

Side-by-side comparison of two AI agent tools

Short answer

  • Ragas has had no commit in 7 months; Langfuse is actively maintained (2,013 commits in the last 90 days).
  • Langfuse is growing faster: +1,812 GitHub stars in the last 30 days vs +441 for Ragas.
  • Pick Langfuse for: open-source LLM engineering platform for observability, evaluation, prompt and dataset management. Pick Ragas for: supercharge Your LLM Application Evaluations.

From GitHub data refreshed daily.

Langfuseopen-source

Open-source LLM engineering platform for observability, evaluation, prompt and dataset management

Ragasopen-source

Supercharge Your LLM Application Evaluations 🚀

Metrics

LangfuseRagas
Stars35.3k15.9k
Star velocity /mo1.8k441.26984126984127
Commits (90d)2.0k0
Releases (6m)100
Overall score0.90672926166320360.3611220705075431

Pros

  • +Open source with MIT license allowing full customization and transparency, plus active community support
  • +Comprehensive feature set combining observability, prompt management, evaluations, and datasets in one platform
  • +Extensive integrations with major LLM frameworks and tools including OpenTelemetry, LangChain, and OpenAI SDK
  • +提供客观的LLM应用评估指标，结合智能LLM评估和传统指标，确保评估结果的准确性和可靠性
  • +自动生成综合测试数据集功能，覆盖广泛应用场景，解决测试数据不足的问题
  • +与LangChain等主流框架深度集成，支持生产环境反馈循环，便于持续优化

Cons

  • -May require significant setup and configuration for self-hosted deployments
  • -Could be overwhelming for simple use cases that only need basic LLM monitoring
  • -Self-hosting requires technical expertise and infrastructure resources
  • -主要依赖Python生态系统，对其他编程语言的支持有限
  • -作为相对新兴的工具，社区生态和最佳实践仍在发展中
  • -LLM基础评估可能增加计算成本和延迟

Use Cases

  • •Production LLM application monitoring to track performance, costs, and identify issues in real-time
  • •Prompt engineering and management for teams collaborating on optimizing model prompts and tracking versions
  • •LLM evaluation and testing to measure model performance across different datasets and use cases
  • •RAG系统性能评估：评估检索质量、答案准确性和相关性指标
  • •聊天机器人质量监控：自动评估对话质量、一致性和用户满意度
  • •LLM应用A/B测试：对比不同模型版本或提示策略的性能差异
View Langfuse DetailsView Ragas Details

FAQ

Which is more popular, Langfuse or Ragas?
Langfuse has more GitHub stars (35,329 vs 15,913).
Which is more actively developed, Langfuse or Ragas?
Langfuse had more commits in the last 90 days (2,013 vs 0).
Should I use Langfuse or Ragas?
Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.
Langfuse vs Ragas (2026): GitHub Stats, Features & Which to Choose