Promptfoo vs Ragas
Side-by-side comparison of two AI agent tools
Short answer
- Ragas has had no commit in 7 months; Promptfoo is actively maintained (920 commits in the last 90 days).
- Promptfoo is growing faster: +1,110 GitHub stars in the last 30 days vs +440 for Ragas.
- Pick Promptfoo for: open-source CLI and library for evaluating and red-teaming prompts, agents, RAG systems, and LLM apps. Pick Ragas for: supercharge Your LLM Application Evaluations.
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Promptfooopen-source
Open-source CLI and library for evaluating and red-teaming prompts, agents, RAG systems, and LLM apps
Ragasopen-source
Supercharge Your LLM Application Evaluations 🚀
Metrics
| Promptfoo | Ragas | |
|---|---|---|
| Stars | 25.7k | 15.9k |
| Star velocity /mo | 1.1k | 440.3684210526315 |
| Commits (90d) | 920 | 0 |
| Releases (6m) | 10 | 0 |
| Downloads (30d, npm + PyPI) | 3.0M | — |
| Overall score | 0.8639349362705032 | 0.3480794663399632 |
Pros
- +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
- +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
- -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
- -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
- •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
- •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, Promptfoo or Ragas?
- Promptfoo has more GitHub stars (25,665 vs 15,913).
- Which is more actively developed, Promptfoo or Ragas?
- Promptfoo had more commits in the last 90 days (920 vs 0).
- Should I use Promptfoo 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.