helicone vs OpenLLMetry

Side-by-side comparison of two AI agent tools

Short answer

  • helicone is growing faster: +132 GitHub stars in the last 30 days vs +80 for OpenLLMetry.
  • Pick helicone for: open source LLM observability platform. Pick OpenLLMetry for: open-source observability for your GenAI or LLM application, based on OpenTelemetry.

From GitHub data refreshed daily.

heliconeopen-source

🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓

OpenLLMetryopen-source

Open-source observability for your GenAI or LLM application, based on OpenTelemetry

Metrics

heliconeOpenLLMetry
Stars6.2k7.5k
Star velocity /mo132.473684210526380.36842105263159
Commits (90d)1012
Releases (6m)010
Downloads (30d, npm + PyPI)1.3K—
Overall score0.45266826426174790.5912367252217405

Pros

  • +一行代码集成多个主流 AI 服务商，支持 OpenAI、Anthropic、Gemini 等
  • +完整的可观测性套件，包含请求追踪、成本监控、延迟分析和质量评估
  • +开源架构提供完全的数据控制权和自定义能力，无厂商锁定风险
  • +Built on OpenTelemetry standard with official semantic conventions integration, ensuring compatibility with existing observability infrastructure
  • +Open-source with strong community support (6,900+ GitHub stars) and active development backed by Y Combinator
  • +Multi-language support covering both Python and JavaScript/TypeScript ecosystems for broad developer adoption

Cons

  • -相对较新的项目，生态系统和第三方集成可能不如成熟的商业解决方案完善
  • -自部署需要一定的运维成本和技术能力
  • -大规模使用时可能需要额外的性能优化和资源配置
  • -Requires familiarity with OpenTelemetry concepts and infrastructure setup, which may have a learning curve for teams new to observability
  • -As a specialized tool for LLM observability, it may be overkill for simple AI applications or proof-of-concepts

Use Cases

  • •AI Agent 系统的全链路监控和调试，追踪多步骤推理过程和工具调用
  • •生产环境中的 LLM 成本控制和性能优化，实时监控 API 使用情况
  • •多模型 A/B 测试和提示工程，比较不同模型和提示版本的效果
  • •Production LLM application monitoring to track performance metrics, token usage, and error rates across different models and providers
  • •Debugging complex GenAI workflows by tracing requests through multiple AI services and identifying bottlenecks or failures
  • •Cost optimization and performance analysis of AI applications to understand usage patterns and optimize model selection
View helicone DetailsView OpenLLMetry Details

FAQ

Which is more popular, helicone or OpenLLMetry?
OpenLLMetry has more GitHub stars (7,467 vs 6,196).
Which is more actively developed, helicone or OpenLLMetry?
OpenLLMetry had more commits in the last 90 days (12 vs 10).
Should I use helicone or OpenLLMetry?
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.