Gorilla vs Opik
Side-by-side comparison of two AI agent tools
Short answer
- Gorilla has had no commit in 6 months; Opik is actively maintained (1,062 commits in the last 90 days).
- Opik is growing faster: +606 GitHub stars in the last 30 days vs +41 for Gorilla.
- Pick Gorilla for: gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls). Pick Opik for: debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive.
From GitHub data refreshed daily.
Gorillaopen-source
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
Opikopen-source
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
Metrics
| Gorilla | Opik | |
|---|---|---|
| Stars | 13.0k | 22.3k |
| Star velocity /mo | 40.578947368421055 | 606 |
| Commits (90d) | 0 | 1.1k |
| Releases (6m) | 0 | 10 |
| Downloads (30d, npm + PyPI) | — | 160.4K |
| Overall score | 0.22885397334190424 | 0.8395960884989896 |
Pros
- +提供业界领先的Berkeley Function Calling Leaderboard，为LLM工具调用能力评估设立标准
- +支持复杂的多轮对话和多步骤函数调用评估，包含状态管理和错误恢复机制
- +活跃的学术研究社区，持续更新评估方法和数据集，与LMSYS等知名平台合作
- +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
- -主要面向研究用途，对于生产环境的实际应用指导有限
- -文档信息不够完整，缺乏详细的实施和部署指南
- -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
- •AI研究人员评估和比较不同LLM的函数调用能力表现
- •开发团队基准测试自己的AI智能体在复杂工具集成场景中的性能
- •学术机构研究多模态AI系统在真实世界任务中的工具使用效果
- •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, Gorilla or Opik?
- Opik has more GitHub stars (22,349 vs 13,041).
- Which is more actively developed, Gorilla or Opik?
- Opik had more commits in the last 90 days (1,062 vs 0).
- Should I use Gorilla 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.