MLflow vs Promptfoo

Side-by-side comparison of two AI agent tools

Short answer

  • Promptfoo is growing faster: +1,112 GitHub stars in the last 30 days vs +480 for MLflow.
  • Pick MLflow for: open-source AI engineering platform for agents, LLMs, and ML models. 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.

M
MLflowopen-source

Open-source AI engineering platform for agents, LLMs, and ML models

Promptfooopen-source

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

Metrics

MLflowPromptfoo
Stars28.2k25.6k
Star velocity /mo4801.1k
Commits (90d)1.1k913
Releases (6m)1010
Overall score0.84049510440622940.8742860723201702

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

    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

      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
        View MLflow DetailsView Promptfoo Details

        FAQ

        Which is more popular, MLflow or Promptfoo?
        MLflow has more GitHub stars (28,232 vs 25,640).
        Which is more actively developed, MLflow or Promptfoo?
        MLflow had more commits in the last 90 days (1,072 vs 913).
        Should I use MLflow 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.