Banana-lyzer vs Promptfoo

Side-by-side comparison of two AI agent tools

Short answer

  • Banana-lyzer has had no commit in 23 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 +0 for Banana-lyzer.
  • Pick Banana-lyzer for: open source AI Agent evaluation framework for web tasks. Pick Promptfoo for: open-source CLI and library for evaluating and red-teaming prompts, agents, RAG systems, and LLM apps.

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Banana-lyzeropen-source

Open source AI Agent evaluation framework for web tasks 🐒🍌

Promptfooopen-source

Open-source CLI and library for evaluating and red-teaming prompts, agents, RAG systems, and LLM apps

Metrics

Banana-lyzerPromptfoo
Stars33025.7k
Star velocity /mo0.47368421052631581.1k
Commits (90d)0920
Releases (6m)010
Downloads (30d, npm + PyPI)—3.0M
Overall score0.144089992122880680.8639349362705032

Pros

  • +使用mhtml快照技术保存网页状态，确保评估的一致性和可重复性，不受网站变化影响
  • +基于成熟的Mind2Web和WebArena数据集模式，提供标准化的评估框架和丰富的测试用例
  • +集成Playwright浏览器自动化，支持真实的网页交互和复杂的DOM操作评估
  • +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

  • -项目仍处于开发阶段，功能不够完整，可能存在稳定性问题
  • -目前主要专注于结构化数据提取任务，对复杂的多步骤网页操作支持有限
  • -需要用户实现AgentRunner接口，对技术要求较高，上手门槛相对较高
  • -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

  • •评估AI代理在电商网站、新闻门户等不同行业网站上的数据提取能力和准确性
  • •对比测试不同AI代理在相同网页任务上的表现，为代理选型提供数据支持
  • •为AI代理开发团队提供标准化的测试环境，验证代理在网页自动化任务中的可靠性
  • •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
View Banana-lyzer DetailsView Promptfoo Details

FAQ

Which is more popular, Banana-lyzer or Promptfoo?
Promptfoo has more GitHub stars (25,665 vs 330).
Which is more actively developed, Banana-lyzer or Promptfoo?
Promptfoo had more commits in the last 90 days (920 vs 0).
Should I use Banana-lyzer or Promptfoo?
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.