iFixAi vs Ragas
Side-by-side comparison of two AI agent tools
Short answer
- Ragas has had no commit in 7 months; iFixAi is actively maintained (62 commits in the last 90 days).
- iFixAi is growing faster: +23,880 GitHub stars in the last 30 days vs +441 for Ragas.
- Pick iFixAi for: audits AI agents against business KPIs and organizational requirements with A–F scorecards. Pick Ragas for: supercharge Your LLM Application Evaluations.
From GitHub data refreshed daily.
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iFixAiopen-source
Audits AI agents against business KPIs and organizational requirements with A–F scorecards
Ragasopen-source
Supercharge Your LLM Application Evaluations 🚀
Metrics
| iFixAi | Ragas | |
|---|---|---|
| Stars | 18.9k | 15.9k |
| Star velocity /mo | 23.9k | 441.26984126984127 |
| Commits (90d) | 62 | 0 |
| Releases (6m) | 10 | 0 |
| Overall score | 0.8352785230824804 | 0.3611220705075431 |
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
FAQ
- Which is more popular, iFixAi or Ragas?
- iFixAi has more GitHub stars (18,904 vs 15,904).
- Which is more actively developed, iFixAi or Ragas?
- iFixAi had more commits in the last 90 days (62 vs 0).
- Should I use iFixAi or Ragas?
- 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.