Langfuse vs OpenLIT

Side-by-side comparison of two AI agent tools

Short answer

  • Langfuse is growing faster: +1,807 GitHub stars in the last 30 days vs +77 for OpenLIT.
  • Pick Langfuse for: open-source LLM engineering platform for observability, evaluation, prompt and dataset management. Pick OpenLIT for: open-source platform for AI agent tracing, evaluations, guardrails, prompts, and GPU monitoring.

From GitHub data refreshed daily.

Langfuseopen-source

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

OpenLITopen-source

Open-source platform for AI agent tracing, evaluations, guardrails, prompts, and GPU monitoring

Metrics

LangfuseOpenLIT
Stars35.3k2.8k
Star velocity /mo1.8k76.73684210526315
Commits (90d)2.0k139
Releases (6m)1010
Downloads (30d, npm + PyPI)—5.4K
Overall score0.89713126864647650.648411262443948

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
  • +OpenTelemetry 原生支持，厂商中立，可与现有可观测性工具无缝集成
  • +一行代码集成，提供从 LLM 到 GPU 的全栈监控能力
  • +功能丰富的一体化平台，包含监控、评估、提示词管理、实验场地等完整工具链

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
  • -作为综合性平台，对于简单用例可能过于复杂
  • -开源项目需要自行部署和维护基础设施

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
  • •LLM 应用的性能监控和成本跟踪
  • •多 LLM 提供商的实验和对比测试
  • •AI 开发工作流的统一管理和版本控制
View Langfuse DetailsView OpenLIT Details

FAQ

Which is more popular, Langfuse or OpenLIT?
Langfuse has more GitHub stars (35,329 vs 2,813).
Which is more actively developed, Langfuse or OpenLIT?
Langfuse had more commits in the last 90 days (2,013 vs 139).
Should I use Langfuse or OpenLIT?
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.