Which is more popular, phoenix or Promptfoo?

Promptfoo has more GitHub stars (25,640 vs 11,680).

Which is more actively developed, phoenix or Promptfoo?

phoenix had more commits in the last 90 days (1,196 vs 913).

Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.

Side-by-side comparison of two AI agent tools

Promptfoo is growing faster: +1,112 GitHub stars in the last 30 days vs +416 for phoenix.
Pick phoenix for: aI Observability & Evaluation. Pick Promptfoo for: open-source CLI and library for evaluating and red-teaming prompts, agents, RAG systems, and LLM apps.

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AI Observability & Evaluation

Promptfooopen-source

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

+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

-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

•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

Which is more popular, phoenix or Promptfoo?: Promptfoo has more GitHub stars (25,640 vs 11,680).
Which is more actively developed, phoenix or Promptfoo?: phoenix had more commits in the last 90 days (1,196 vs 913).
Should I use phoenix or Promptfoo?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.