AgentOps vs Opik
Side-by-side comparison of two AI agent tools
Short answer
- Opik is growing faster: +606 GitHub stars in the last 30 days vs +73 for AgentOps.
- Pick AgentOps for: python SDK for monitoring, cost tracking, benchmarking, and debugging AI agents. Pick Opik for: debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive.
From GitHub data refreshed daily.
AgentOpsopen-source
Python SDK for monitoring, cost tracking, benchmarking, and debugging AI agents
Opikopen-source
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
Metrics
| AgentOps | Opik | |
|---|---|---|
| Stars | 5.9k | 22.3k |
| Star velocity /mo | 73.26315789473685 | 606 |
| Commits (90d) | 0 | 1.1k |
| Releases (6m) | 0 | 10 |
| Downloads (30d, npm + PyPI) | 111.1K | 1.9M |
| Overall score | 0.2650599984606837 | 0.8395960884989896 |
Pros
- +Comprehensive integration ecosystem supporting major AI frameworks like CrewAI, OpenAI Agents SDK, Langchain, and Autogen
- +Open-source under MIT license with active community development and regular updates
- +Complete observability suite covering monitoring, cost tracking, and benchmarking from prototype to production
- +提供端到端的 AI 应用可观测性，包括详细的链路追踪和性能监控，帮助开发者快速定位问题
- +支持自动化评估和优化，能够自动改进提示词和工具配置，降低手动调优的工作量
- +完全开源且拥有活跃社区支持，提供灵活的部署选项和定制化能力
Cons
- -Limited to Python ecosystem, which may not suit developers using other programming languages
- -Requires integration setup with each agent framework, potentially adding complexity to existing workflows
- -作为相对较新的工具，可能在某些企业级功能和集成方面还需要进一步完善
- -学习曲线可能较陡，需要开发者具备一定的 AI 应用开发和监控经验
Use Cases
- •Monitoring production AI agent performance and identifying bottlenecks in agent workflows
- •Tracking and optimizing LLM usage costs across different agent frameworks and models
- •Benchmarking agent performance during development and comparing different agent implementations
- •RAG 聊天机器人的性能监控和优化，追踪检索质量和回答准确性
- •代码助手应用的链路分析，监控代码生成质量和响应时间
- •复杂智能体工作流的调试和评估，跟踪多步骤推理过程的执行效果
FAQ
- Which is more popular, AgentOps or Opik?
- Opik has more GitHub stars (22,349 vs 5,870).
- Which is more actively developed, AgentOps or Opik?
- Opik had more commits in the last 90 days (1,062 vs 0).
- Should I use AgentOps or Opik?
- 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.