Gorilla vs Promptfoo
Side-by-side comparison of two AI agent tools
Short answer
- Gorilla has had no commit in 6 months; Promptfoo is actively maintained (913 commits in the last 90 days).
- Promptfoo is growing faster: +1,112 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 Promptfoo for: open-source CLI and library for evaluating and red-teaming prompts, agents, RAG systems, and LLM apps.
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Gorillaopen-source
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
Promptfooopen-source
Open-source CLI and library for evaluating and red-teaming prompts, agents, RAG systems, and LLM apps
Metrics
| Gorilla | Promptfoo | |
|---|---|---|
| Stars | 13.0k | 25.6k |
| Star velocity /mo | 41.111111111111114 | 1.1k |
| Commits (90d) | 0 | 913 |
| Releases (6m) | 0 | 10 |
| Overall score | 0.24387159309456813 | 0.8742860723201702 |
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
- +Comprehensive testing suite covering both performance evaluation and security red teaming in a single tool
- +Multi-provider support with easy comparison between OpenAI, Anthropic, Claude, Gemini, Llama and dozens of other models
- +Strong CI/CD integration with automated pull request scanning and code review capabilities for production deployments
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
- -Requires API keys and credits for multiple LLM providers, which can become expensive for extensive testing
- -Command-line focused interface may have a learning curve for teams preferring GUI-based tools
- -Limited to evaluation and testing - does not provide actual LLM application development capabilities
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
- •Automated testing and evaluation of prompt performance across different models before production deployment
- •Security vulnerability scanning and red teaming of LLM applications to identify potential risks and compliance issues
- •Systematic comparison of model performance and cost-effectiveness to optimize AI application architecture
FAQ
- Which is more popular, Gorilla or Promptfoo?
- Promptfoo has more GitHub stars (25,640 vs 13,043).
- Which is more actively developed, Gorilla or Promptfoo?
- Promptfoo had more commits in the last 90 days (913 vs 0).
- Should I use Gorilla or Promptfoo?
- 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.