MinerU vs Promptfoo
Side-by-side comparison of two AI agent tools
Short answer
- MinerU is growing faster: +3,758 GitHub stars in the last 30 days vs +1,114 for Promptfoo.
- Pick MinerU for: transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows. Pick Promptfoo for: open-source CLI and library for evaluating and red-teaming prompts, agents, RAG systems, and LLM apps.
From GitHub data refreshed daily.
MinerUfree
Transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.
Promptfooopen-source
Open-source CLI and library for evaluating and red-teaming prompts, agents, RAG systems, and LLM apps
Metrics
| MinerU | Promptfoo | |
|---|---|---|
| Stars | 80.9k | 25.6k |
| Star velocity /mo | 3.8k | 1.1k |
| Commits (90d) | 911 | 906 |
| Releases (6m) | 10 | 10 |
| Overall score | 0.8962498757040758 | 0.8756793806487937 |
Pros
- +专门针对 LLM 优化的输出格式,确保转换后的 Markdown/JSON 能够被 AI 模型高质量理解和处理
- +支持复杂 PDF 文档的结构化解析,保持表格、图像和文本布局的完整性
- +提供 Python SDK 和 Web 应用双重接口,既适合程序化集成也支持交互式使用
- +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
- -主要专注于 PDF 处理,对其他文档格式的支持可能有限
- -复杂文档的处理质量可能依赖于原始文档的质量和结构清晰度
- -大规模批量处理时可能需要考虑计算资源和处理时间的平衡
- -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
- •构建 RAG(检索增强生成)系统时,将企业内部 PDF 文档转换为向量数据库可索引的格式
- •为 AI 代理开发智能文档分析功能,自动提取和结构化合同、报告中的关键信息
- •建立知识管理系统,将历史文档资料转换为可搜索和可查询的结构化数据
- •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, MinerU or Promptfoo?
- MinerU has more GitHub stars (80,939 vs 25,615).
- Which is more actively developed, MinerU or Promptfoo?
- MinerU had more commits in the last 90 days (911 vs 906).
- Should I use MinerU or Promptfoo?
- Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.