Ragas vs SkillSpector

Side-by-side comparison of two AI agent tools

Short answer

  • Ragas has had no commit in 7 months; SkillSpector is actively maintained (352 commits in the last 90 days).
  • SkillSpector is growing faster: +3,795 GitHub stars in the last 30 days vs +441 for Ragas.
  • Pick Ragas for: supercharge Your LLM Application Evaluations. Pick SkillSpector for: scans AI agent skills for prompt injection, data exfiltration, supply-chain risks, and vulnerabilities.

From GitHub data refreshed daily.

Ragasopen-source

Supercharge Your LLM Application Evaluations 🚀

S
SkillSpectoropen-source

Scans AI agent skills for prompt injection, data exfiltration, supply-chain risks, and vulnerabilities

Metrics

RagasSkillSpector
Stars15.9k19.0k
Star velocity /mo441.269841269841273.8k
Commits (90d)0352
Releases (6m)010
Overall score0.36112207050754310.8661125187271228

Pros

  • +提供客观的LLM应用评估指标，结合智能LLM评估和传统指标，确保评估结果的准确性和可靠性
  • +自动生成综合测试数据集功能，覆盖广泛应用场景，解决测试数据不足的问题
  • +与LangChain等主流框架深度集成，支持生产环境反馈循环，便于持续优化

    Cons

    • -主要依赖Python生态系统，对其他编程语言的支持有限
    • -作为相对新兴的工具，社区生态和最佳实践仍在发展中
    • -LLM基础评估可能增加计算成本和延迟

      Use Cases

      • •RAG系统性能评估：评估检索质量、答案准确性和相关性指标
      • •聊天机器人质量监控：自动评估对话质量、一致性和用户满意度
      • •LLM应用A/B测试：对比不同模型版本或提示策略的性能差异
        View Ragas DetailsView SkillSpector Details

        FAQ

        Which is more popular, Ragas or SkillSpector?
        SkillSpector has more GitHub stars (19,034 vs 15,904).
        Which is more actively developed, Ragas or SkillSpector?
        SkillSpector had more commits in the last 90 days (352 vs 0).
        Should I use Ragas or SkillSpector?
        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.