Promptfoo vs ragflow
Side-by-side comparison of two AI agent tools
Short answer
- ragflow is growing faster: +2,402 GitHub stars in the last 30 days vs +1,110 for Promptfoo.
- Pick Promptfoo for: open-source CLI and library for evaluating and red-teaming prompts, agents, RAG systems, and LLM apps. Pick ragflow for: open-source RAG engine combining knowledge retrieval and agent capabilities for LLMs.
From GitHub data refreshed daily.
Promptfooopen-source
Open-source CLI and library for evaluating and red-teaming prompts, agents, RAG systems, and LLM apps
ragflowopen-source
Open-source RAG engine combining knowledge retrieval and agent capabilities for LLMs
Metrics
| Promptfoo | ragflow | |
|---|---|---|
| Stars | 25.7k | 91.6k |
| Star velocity /mo | 1.1k | 2.4k |
| Commits (90d) | 920 | 2.7k |
| Releases (6m) | 10 | 10 |
| Overall score | 0.8639349362705032 | 0.9098521001650974 |
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
- +结合了先进的RAG技术和Agent能力,提供比传统RAG更强大的功能
- +开源且拥有活跃社区支持,GitHub星数超过7.6万,可信度高
- +提供云服务和Docker容器化部署,支持多种部署方式
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
- -作为相对复杂的RAG系统,可能需要一定的技术背景才能充分配置和优化
- -大规模部署可能需要相当的计算资源和存储空间
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
- •企业知识库问答系统,基于内部文档为员工提供智能查询服务
- •智能客服系统,结合产品文档和FAQ提供准确的客户支持
- •研究助手应用,帮助研究人员从大量学术文献中检索相关信息
FAQ
- Which is more popular, Promptfoo or ragflow?
- ragflow has more GitHub stars (91,619 vs 25,665).
- Which is more actively developed, Promptfoo or ragflow?
- ragflow had more commits in the last 90 days (2,666 vs 920).
- Should I use Promptfoo or ragflow?
- 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.