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

MinerUPromptfoo
Stars80.9k25.6k
Star velocity /mo3.8k1.1k
Commits (90d)911906
Releases (6m)1010
Overall score0.89624987570407580.8756793806487937

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.