{
  "project": {
    "project_id": "zapier/AutomationBench",
    "repo": "zapier/AutomationBench",
    "name": "AutomationBench",
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    "homepage_url": "https://zapier.com/benchmarks",
    "language": "Python",
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    "project_kind": "project",
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      "benchmarks",
      "evals",
      "llm",
      "primeintellect"
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    "overview": "Use zapier/AutomationBench when the user needs a llm eval project with local, cloud deployment options.",
    "alternatives": [],
    "related": [],
    "dependencies": [
      "LLM provider"
    ],
    "deployments": [
      "local",
      "cloud"
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      "evaluate LLM outputs",
      "benchmark prompts and agents",
      "track model quality"
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      "edge-only Cloudflare Workers deployment without adaptation"
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    "classification": {
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        "confidence": "high",
        "evidence": [
          "Matched \"eval\" in metadata.",
          "Matched \"benchmark\" in metadata."
        ]
      },
      "deployment": {
        "confidence": "medium",
        "evidence": [
          "Local usage is assumed for open source repositories unless contradicted."
        ]
      },
      "difficulty": {
        "confidence": "medium",
        "evidence": [
          "Repository has under 10k stars, so complexity is treated conservatively."
        ]
      },
      "cloudflare_ready": {
        "confidence": "high",
        "evidence": [
          "Runtime blocker: python.",
          "No Cloudflare deployment signal detected."
        ]
      }
    },
    "quality_signals": {
      "stars": 113,
      "recent_commits": 1,
      "contributors": 2,
      "issue_response_time_hours": null,
      "release_frequency_180d": 0
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    "quality_signal_confidence": {
      "stars_30d_delta": "estimated",
      "commits_30d": "complete",
      "releases_180d": "complete",
      "contributors_90d": "complete"
    },
    "quality_score": 5,
    "agent_score": 53,
    "score": 61,
    "agent_score_breakdown": {
      "documentation": 90,
      "maintenance": 17,
      "deployment": 70,
      "popularity": 41,
      "community": 47
    },
    "git_top_score": 61,
    "git_top_score_breakdown": {
      "community": 69,
      "maintenance": 12,
      "documentation": 84,
      "stability": 70,
      "adoption": 55,
      "agent_readability": 90
    },
    "summary": {
      "tl_dr": "Use zapier/AutomationBench when the user needs a llm eval project with local, cloud deployment options.",
      "purpose": "Use zapier/AutomationBench when the user needs a llm eval project with local, cloud deployment options.",
      "install": "Install and run the evaluation harness as documented by the repository.",
      "inputs": [
        "prompts",
        "model outputs",
        "test cases"
      ],
      "outputs": [
        "scores",
        "benchmarks",
        "eval reports"
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        "evaluate LLM outputs",
        "benchmark prompts and agents",
        "track model quality",
        "model evaluation",
        "benchmarking",
        "regression testing"
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        "edge-only Cloudflare Workers deployment without adaptation",
        "production inference serving",
        "end-user chat apps"
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      "deployment": [
        "local",
        "cloud"
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      "classification": {
        "category": {
          "confidence": "high",
          "evidence": [
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          "confidence": "medium",
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          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python.",
            "No Cloudflare deployment signal detected."
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        }
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        "stars_30d_delta": "estimated",
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
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        "agent_card.classification",
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      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "Partial or estimated quality signals: stars30dDelta."
      ],
      "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
      "last_verified_at": "2026-07-07T02:00:09.435Z"
    },
    "caveats": [
      "edge-only Cloudflare Workers deployment without adaptation",
      "Partial or estimated quality signals: stars30dDelta."
    ],
    "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
    "source_fields": [
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      "project.language",
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      "agent_card.summary_for_agent",
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  "related": [
    {
      "project_id": "agentevals-dev/agentevals",
      "repo": "agentevals-dev/agentevals",
      "name": "agentevals",
      "github_url": "https://github.com/agentevals-dev/agentevals",
      "homepage_url": "https://aevals.ai/",
      "language": "Python",
      "license": "Apache-2.0",
      "project_kind": "project",
      "category": [
        "llm_eval"
      ],
      "tags": [
        "agentevals",
        "agents",
        "evals",
        "evaluation",
        "llm",
        "llm-as-judge"
      ],
      "description": "agentevals is a framework-agnostic evaluations solution based on OpenTelemetry traces",
      "overview": "Use agentevals-dev/agentevals when the user needs a llm eval project with docker, kubernetes, library_only deployment options.",
      "alternatives": [],
      "related": [],
      "dependencies": [
        "LLM provider"
      ],
      "deployments": [
        "docker",
        "kubernetes",
        "library_only",
        "local",
        "cloud"
      ],
      "difficulty": "beginner",
      "cloudflare_ready": false,
      "use_cases": [
        "evaluate LLM outputs",
        "benchmark prompts and agents",
        "track model quality"
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      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "high",
          "evidence": [
            "Matched \"eval\" in metadata.",
            "Matched \"evaluation\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Found Docker configuration file.",
            "Matched \"kubernetes\" in repository content.",
            "Matched \"helm chart\" in repository content.",
            "Matched \"pip install\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python, postgres.",
            "No Cloudflare deployment signal detected."
          ]
        }
      },
      "quality_signals": {
        "stars": 144,
        "recent_commits": 17,
        "contributors": 12,
        "issue_response_time_hours": null,
        "release_frequency_180d": 31
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "estimated",
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 24,
      "agent_score": 68,
      "score": 82,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 46,
        "deployment": 100,
        "popularity": 43,
        "community": 57
      },
      "git_top_score": 82,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 57,
        "documentation": 92,
        "stability": 100,
        "adoption": 60,
        "agent_readability": 90
      },
      "summary": {
        "tl_dr": "Use agentevals-dev/agentevals when the user needs a llm eval project with docker, kubernetes, library_only deployment options.",
        "purpose": "Use agentevals-dev/agentevals when the user needs a llm eval project with docker, kubernetes, library_only deployment options.",
        "install": "Run with Docker using the repository's container instructions.",
        "inputs": [
          "prompts",
          "model outputs",
          "test cases"
        ],
        "outputs": [
          "scores",
          "benchmarks",
          "eval reports"
        ],
        "good_for": [
          "evaluate LLM outputs",
          "benchmark prompts and agents",
          "track model quality",
          "model evaluation",
          "benchmarking",
          "regression testing"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "production inference serving",
          "end-user chat apps"
        ],
        "deployment": [
          "docker",
          "kubernetes",
          "library_only",
          "local",
          "cloud"
        ],
        "alternatives": []
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "high",
            "evidence": [
              "Matched \"eval\" in metadata.",
              "Matched \"evaluation\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Found Docker configuration file.",
              "Matched \"kubernetes\" in repository content.",
              "Matched \"helm chart\" in repository content.",
              "Matched \"pip install\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "Repository has under 10k stars, so complexity is treated conservatively."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python, postgres.",
              "No Cloudflare deployment signal detected."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "estimated",
          "commits_30d": "complete",
          "releases_180d": "complete",
          "contributors_90d": "complete"
        },
        "source_fields": [
          "project.description",
          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "agent_card.deployment",
          "agent_card.classification",
          "metrics"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "Partial or estimated quality signals: stars30dDelta."
        ],
        "confidence_reason": "Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.",
        "last_verified_at": "2026-07-03T18:00:35.789Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: stars30dDelta."
      ],
      "confidence_reason": "Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "agent_card.deployment",
        "agent_card.classification",
        "metrics"
      ],
      "last_verified_at": "2026-07-03T18:00:35.789Z"
    },
    {
      "project_id": "ai-twinkle/Eval",
      "repo": "ai-twinkle/Eval",
      "name": "Eval",
      "github_url": "https://github.com/ai-twinkle/Eval",
      "homepage_url": "https://twinkleai.tw",
      "language": "Python",
      "license": "MIT",
      "project_kind": "project",
      "category": [
        "llm_eval"
      ],
      "tags": [
        "eval",
        "evaluation",
        "llm"
      ],
      "description": "High-performance LLM evaluation framework with parallel API calls — up to 17× faster than sequential tools. Supports box, math, and logit-based evaluation.",
      "overview": "Use ai-twinkle/Eval when the user needs a llm eval project with docker, library_only, local deployment options.",
      "alternatives": [],
      "related": [],
      "dependencies": [
        "LLM provider"
      ],
      "deployments": [
        "docker",
        "library_only",
        "local",
        "cloud"
      ],
      "difficulty": "beginner",
      "cloudflare_ready": false,
      "use_cases": [
        "evaluate LLM outputs",
        "benchmark prompts and agents",
        "track model quality"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "high",
          "evidence": [
            "Matched \"eval\" in metadata.",
            "Matched \"evaluation\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Found Docker configuration file.",
            "Matched \"pip install\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python, gpu.",
            "No Cloudflare deployment signal detected."
          ]
        }
      },
      "quality_signals": {
        "stars": 98,
        "recent_commits": 0,
        "contributors": 6,
        "issue_response_time_hours": null,
        "release_frequency_180d": 17
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "estimated",
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 20,
      "agent_score": 61,
      "score": 70,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 33,
        "deployment": 90,
        "popularity": 40,
        "community": 51
      },
      "git_top_score": 70,
      "git_top_score_breakdown": {
        "community": 80,
        "maintenance": 34,
        "documentation": 84,
        "stability": 85,
        "adoption": 56,
        "agent_readability": 90
      },
      "summary": {
        "tl_dr": "Use ai-twinkle/Eval when the user needs a llm eval project with docker, library_only, local deployment options.",
        "purpose": "Use ai-twinkle/Eval when the user needs a llm eval project with docker, library_only, local deployment options.",
        "install": "Run with Docker using the repository's container instructions.",
        "inputs": [
          "prompts",
          "model outputs",
          "test cases"
        ],
        "outputs": [
          "scores",
          "benchmarks",
          "eval reports"
        ],
        "good_for": [
          "evaluate LLM outputs",
          "benchmark prompts and agents",
          "track model quality",
          "model evaluation",
          "benchmarking",
          "regression testing"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "production inference serving",
          "end-user chat apps"
        ],
        "deployment": [
          "docker",
          "library_only",
          "local",
          "cloud"
        ],
        "alternatives": []
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "high",
            "evidence": [
              "Matched \"eval\" in metadata.",
              "Matched \"evaluation\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Found Docker configuration file.",
              "Matched \"pip install\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "Repository has under 10k stars, so complexity is treated conservatively."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python, gpu.",
              "No Cloudflare deployment signal detected."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "estimated",
          "commits_30d": "complete",
          "releases_180d": "complete",
          "contributors_90d": "complete"
        },
        "source_fields": [
          "project.description",
          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "agent_card.deployment",
          "agent_card.classification",
          "metrics"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "Partial or estimated quality signals: stars30dDelta."
        ],
        "confidence_reason": "Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.",
        "last_verified_at": "2026-07-03T05:00:43.966Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: stars30dDelta."
      ],
      "confidence_reason": "Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "agent_card.deployment",
        "agent_card.classification",
        "metrics"
      ],
      "last_verified_at": "2026-07-03T05:00:43.966Z"
    },
    {
      "project_id": "Purewhiter/mobilegym",
      "repo": "Purewhiter/mobilegym",
      "name": "mobilegym",
      "github_url": "https://github.com/Purewhiter/mobilegym",
      "homepage_url": "https://mobilegym.dev",
      "language": "Python",
      "license": "Apache-2.0",
      "project_kind": "project",
      "category": [
        "llm_eval"
      ],
      "tags": [
        "agent",
        "agents",
        "ai",
        "android",
        "automation",
        "benchmark",
        "gym",
        "llm",
        "llm-agents",
        "mobile-agent",
        "online-rl",
        "react",
        "reinforcement-learning",
        "rl",
        "rl-environment",
        "sim-to-real",
        "simulator",
        "typescript",
        "vlm"
      ],
      "description": "MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research · 浏览器里运行的安卓模拟器 · Browser-hosted Android Simulator · Verifiable Evaluation · Scalable Online RL Training",
      "overview": "Use Purewhiter/mobilegym when the user needs a llm eval project with library_only, local, cloud deployment options.",
      "alternatives": [],
      "related": [],
      "dependencies": [
        "Browser automation",
        "LLM provider"
      ],
      "deployments": [
        "library_only",
        "local",
        "cloud"
      ],
      "difficulty": "beginner",
      "cloudflare_ready": false,
      "use_cases": [
        "evaluate LLM outputs",
        "benchmark prompts and agents",
        "track model quality"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "high",
          "evidence": [
            "Matched \"eval\" in metadata.",
            "Matched \"evaluation\" in metadata.",
            "Matched \"benchmark\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Matched \"pip install\" in repository content.",
            "Matched \"npm install\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python.",
            "No Cloudflare deployment signal detected."
          ]
        }
      },
      "quality_signals": {
        "stars": 697,
        "recent_commits": 24,
        "contributors": 2,
        "issue_response_time_hours": null,
        "release_frequency_180d": 2
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "estimated",
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 21,
      "agent_score": 59,
      "score": 75,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 24,
        "deployment": 80,
        "popularity": 57,
        "community": 47
      },
      "git_top_score": 75,
      "git_top_score_breakdown": {
        "community": 76,
        "maintenance": 39,
        "documentation": 84,
        "stability": 86,
        "adoption": 83,
        "agent_readability": 90
      },
      "summary": {
        "tl_dr": "Use Purewhiter/mobilegym when the user needs a llm eval project with library_only, local, cloud deployment options.",
        "purpose": "Use Purewhiter/mobilegym when the user needs a llm eval project with library_only, local, cloud deployment options.",
        "install": "Install as a library or package using the repository instructions.",
        "inputs": [
          "prompts",
          "model outputs",
          "test cases"
        ],
        "outputs": [
          "scores",
          "benchmarks",
          "eval reports"
        ],
        "good_for": [
          "evaluate LLM outputs",
          "benchmark prompts and agents",
          "track model quality",
          "model evaluation",
          "benchmarking",
          "regression testing"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "production inference serving",
          "end-user chat apps"
        ],
        "deployment": [
          "library_only",
          "local",
          "cloud"
        ],
        "alternatives": []
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "high",
            "evidence": [
              "Matched \"eval\" in metadata.",
              "Matched \"evaluation\" in metadata.",
              "Matched \"benchmark\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Matched \"pip install\" in repository content.",
              "Matched \"npm install\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "Repository has under 10k stars, so complexity is treated conservatively."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python.",
              "No Cloudflare deployment signal detected."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "estimated",
          "commits_30d": "complete",
          "releases_180d": "complete",
          "contributors_90d": "complete"
        },
        "source_fields": [
          "project.description",
          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "agent_card.deployment",
          "agent_card.classification",
          "metrics"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "Partial or estimated quality signals: stars30dDelta."
        ],
        "confidence_reason": "Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.",
        "last_verified_at": "2026-07-01T10:01:02.136Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: stars30dDelta."
      ],
      "confidence_reason": "Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "agent_card.deployment",
        "agent_card.classification",
        "metrics"
      ],
      "last_verified_at": "2026-07-01T10:01:02.136Z"
    },
    {
      "project_id": "promptfoo/promptfoo",
      "repo": "promptfoo/promptfoo",
      "name": "promptfoo",
      "github_url": "https://github.com/promptfoo/promptfoo",
      "homepage_url": "https://promptfoo.dev",
      "language": "TypeScript",
      "license": "MIT",
      "project_kind": "project",
      "category": [
        "llm_eval"
      ],
      "tags": [
        "ci",
        "ci-cd",
        "cicd",
        "evaluation",
        "evaluation-framework",
        "llm",
        "llm-eval",
        "llm-evaluation",
        "llm-evaluation-framework",
        "llmops",
        "pentesting",
        "prompt-engineering",
        "prompt-testing",
        "prompts",
        "rag",
        "red-teaming",
        "testing",
        "vulnerability-scanners"
      ],
      "description": "Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative configs with command line and CI/CD integration.  Used by OpenAI and Anthropic.",
      "overview": "Use promptfoo/promptfoo when the user needs a llm eval project with docker, library_only, local deployment options.",
      "alternatives": [],
      "related": [],
      "dependencies": [
        "Vector database",
        "LLM provider"
      ],
      "deployments": [
        "docker",
        "library_only",
        "local",
        "cloud"
      ],
      "difficulty": "intermediate",
      "cloudflare_ready": false,
      "use_cases": [
        "evaluate LLM outputs",
        "benchmark prompts and agents",
        "track model quality"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "high",
          "evidence": [
            "Matched \"eval\" in metadata.",
            "Matched \"evaluation\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Found Docker configuration file.",
            "Matched \"pip install\" in repository content.",
            "Matched \"npm install\" in repository content.",
            "Matched \"library\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "No strong beginner or advanced signal found; defaulting to intermediate."
          ]
        },
        "cloudflare_ready": {
          "confidence": "low",
          "evidence": [
            "No Cloudflare deployment signal detected."
          ]
        }
      },
      "quality_signals": {
        "stars": 22871,
        "recent_commits": 100,
        "contributors": 100,
        "issue_response_time_hours": null,
        "release_frequency_180d": 40
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 13,
        "commits_30d": "partial",
        "releases_180d": "complete",
        "contributors_90d": "partial"
      },
      "quality_score": 57,
      "agent_score": 88,
      "score": 91,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 76,
        "deployment": 90,
        "popularity": 87,
        "community": 100
      },
      "git_top_score": 91,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 84,
        "documentation": 84,
        "stability": 90,
        "adoption": 100,
        "agent_readability": 90
      },
      "summary": {
        "tl_dr": "Use promptfoo/promptfoo when the user needs a llm eval project with docker, library_only, local deployment options.",
        "purpose": "Use promptfoo/promptfoo when the user needs a llm eval project with docker, library_only, local deployment options.",
        "install": "Run with Docker using the repository's container instructions.",
        "inputs": [
          "prompts",
          "model outputs",
          "test cases"
        ],
        "outputs": [
          "scores",
          "benchmarks",
          "eval reports"
        ],
        "good_for": [
          "evaluate LLM outputs",
          "benchmark prompts and agents",
          "track model quality",
          "model evaluation",
          "benchmarking",
          "regression testing"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "production inference serving",
          "end-user chat apps"
        ],
        "deployment": [
          "docker",
          "library_only",
          "local",
          "cloud"
        ],
        "alternatives": []
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "high",
            "evidence": [
              "Matched \"eval\" in metadata.",
              "Matched \"evaluation\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Found Docker configuration file.",
              "Matched \"pip install\" in repository content.",
              "Matched \"npm install\" in repository content.",
              "Matched \"library\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "No strong beginner or advanced signal found; defaulting to intermediate."
            ]
          },
          "cloudflare_ready": {
            "confidence": "low",
            "evidence": [
              "No Cloudflare deployment signal detected."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 13,
          "commits_30d": "partial",
          "releases_180d": "complete",
          "contributors_90d": "partial"
        },
        "source_fields": [
          "project.description",
          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "agent_card.deployment",
          "agent_card.classification",
          "metrics"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "Low-confidence classification fields: cloudflareReady.",
          "Partial or estimated quality signals: commits30d, contributors90d."
        ],
        "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-07-03T05:00:51.385Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Low-confidence classification fields: cloudflareReady.",
        "Partial or estimated quality signals: commits30d, contributors90d."
      ],
      "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "agent_card.deployment",
        "agent_card.classification",
        "metrics"
      ],
      "last_verified_at": "2026-07-03T05:00:51.385Z"
    },
    {
      "project_id": "EricLBuehler/mistral.rs",
      "repo": "EricLBuehler/mistral.rs",
      "name": "mistral.rs",
      "github_url": "https://github.com/EricLBuehler/mistral.rs",
      "homepage_url": null,
      "language": "Rust",
      "license": "MIT",
      "project_kind": "project",
      "category": [
        "llm_eval"
      ],
      "tags": [
        "llm",
        "rust",
        "uqff"
      ],
      "description": "Fast, flexible LLM inference",
      "overview": "Use EricLBuehler/mistral.rs when the user needs a llm eval project with docker, kubernetes, library_only deployment options.",
      "alternatives": [],
      "related": [],
      "dependencies": [
        "LLM provider"
      ],
      "deployments": [
        "docker",
        "kubernetes",
        "library_only",
        "local",
        "cloud"
      ],
      "difficulty": "beginner",
      "cloudflare_ready": false,
      "use_cases": [
        "evaluate LLM outputs",
        "benchmark prompts and agents",
        "track model quality"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "medium",
          "evidence": [
            "Matched \"benchmark\" in repository content."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Found Docker configuration file.",
            "Matched \"kubernetes\" in repository content.",
            "Matched \"pip install\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python, cuda, gpu.",
            "No Cloudflare deployment signal detected."
          ]
        }
      },
      "quality_signals": {
        "stars": 7400,
        "recent_commits": 100,
        "contributors": 89,
        "issue_response_time_hours": null,
        "release_frequency_180d": 31
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 9,
        "commits_30d": "partial",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 46,
      "agent_score": 88,
      "score": 92,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 75,
        "deployment": 100,
        "popularity": 77,
        "community": 100
      },
      "git_top_score": 92,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 83,
        "documentation": 92,
        "stability": 90,
        "adoption": 100,
        "agent_readability": 90
      },
      "summary": {
        "tl_dr": "Use EricLBuehler/mistral.rs when the user needs a llm eval project with docker, kubernetes, library_only deployment options.",
        "purpose": "Use EricLBuehler/mistral.rs when the user needs a llm eval project with docker, kubernetes, library_only deployment options.",
        "install": "Run with Docker using the repository's container instructions.",
        "inputs": [
          "prompts",
          "model outputs",
          "test cases"
        ],
        "outputs": [
          "scores",
          "benchmarks",
          "eval reports"
        ],
        "good_for": [
          "evaluate LLM outputs",
          "benchmark prompts and agents",
          "track model quality",
          "model evaluation",
          "benchmarking",
          "regression testing"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "production inference serving",
          "end-user chat apps"
        ],
        "deployment": [
          "docker",
          "kubernetes",
          "library_only",
          "local",
          "cloud"
        ],
        "alternatives": []
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "medium",
            "evidence": [
              "Matched \"benchmark\" in repository content."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Found Docker configuration file.",
              "Matched \"kubernetes\" in repository content.",
              "Matched \"pip install\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "Repository has under 10k stars, so complexity is treated conservatively."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python, cuda, gpu.",
              "No Cloudflare deployment signal detected."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 9,
          "commits_30d": "partial",
          "releases_180d": "complete",
          "contributors_90d": "complete"
        },
        "source_fields": [
          "project.description",
          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "agent_card.deployment",
          "agent_card.classification",
          "metrics"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "Partial or estimated quality signals: commits30d."
        ],
        "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-06-30T22:00:34.792Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: commits30d."
      ],
      "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "agent_card.deployment",
        "agent_card.classification",
        "metrics"
      ],
      "last_verified_at": "2026-06-30T22:00:34.792Z"
    },
    {
      "project_id": "Giskard-AI/giskard-oss",
      "repo": "Giskard-AI/giskard-oss",
      "name": "giskard-oss",
      "github_url": "https://github.com/Giskard-AI/giskard-oss",
      "homepage_url": "https://docs.giskard.ai",
      "language": "Python",
      "license": "Apache-2.0",
      "project_kind": "project",
      "category": [
        "llm_eval"
      ],
      "tags": [
        "agent-evaluation",
        "ai-red-team",
        "ai-security",
        "ai-testing",
        "fairness-ai",
        "llm",
        "llm-eval",
        "llm-evaluation",
        "llm-security",
        "llmops",
        "ml-testing",
        "ml-validation",
        "mlops",
        "rag-evaluation",
        "red-team-tools",
        "responsible-ai",
        "trustworthy-ai"
      ],
      "description": "🐢 Open-Source Evaluation & Testing library for LLM Agents",
      "overview": "Use Giskard-AI/giskard-oss when the user needs a llm eval project with library_only, local, cloud deployment options.",
      "alternatives": [],
      "related": [],
      "dependencies": [
        "Vector database",
        "LLM provider"
      ],
      "deployments": [
        "library_only",
        "local",
        "cloud"
      ],
      "difficulty": "beginner",
      "cloudflare_ready": false,
      "use_cases": [
        "evaluate LLM outputs",
        "benchmark prompts and agents",
        "track model quality"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "high",
          "evidence": [
            "Matched \"eval\" in metadata.",
            "Matched \"evaluation\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Matched \"pip install\" in repository content.",
            "Matched \"library\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python.",
            "No Cloudflare deployment signal detected."
          ]
        }
      },
      "quality_signals": {
        "stars": 5483,
        "recent_commits": 53,
        "contributors": 67,
        "issue_response_time_hours": null,
        "release_frequency_180d": 25
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 11,
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 38,
      "agent_score": 81,
      "score": 91,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 66,
        "deployment": 80,
        "popularity": 75,
        "community": 100
      },
      "git_top_score": 91,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 77,
        "documentation": 84,
        "stability": 100,
        "adoption": 100,
        "agent_readability": 90
      },
      "summary": {
        "tl_dr": "Use Giskard-AI/giskard-oss when the user needs a llm eval project with library_only, local, cloud deployment options.",
        "purpose": "Use Giskard-AI/giskard-oss when the user needs a llm eval project with library_only, local, cloud deployment options.",
        "install": "Install as a library or package using the repository instructions.",
        "inputs": [
          "prompts",
          "model outputs",
          "test cases"
        ],
        "outputs": [
          "scores",
          "benchmarks",
          "eval reports"
        ],
        "good_for": [
          "evaluate LLM outputs",
          "benchmark prompts and agents",
          "track model quality",
          "model evaluation",
          "benchmarking",
          "regression testing"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "production inference serving",
          "end-user chat apps"
        ],
        "deployment": [
          "library_only",
          "local",
          "cloud"
        ],
        "alternatives": []
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "high",
            "evidence": [
              "Matched \"eval\" in metadata.",
              "Matched \"evaluation\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Matched \"pip install\" in repository content.",
              "Matched \"library\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "Repository has under 10k stars, so complexity is treated conservatively."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python.",
              "No Cloudflare deployment signal detected."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 11,
          "commits_30d": "complete",
          "releases_180d": "complete",
          "contributors_90d": "complete"
        },
        "source_fields": [
          "project.description",
          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "agent_card.deployment",
          "agent_card.classification",
          "metrics"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product"
        ],
        "confidence_reason": "Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.",
        "last_verified_at": "2026-07-02T06:00:55.821Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "confidence_reason": "Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "agent_card.deployment",
        "agent_card.classification",
        "metrics"
      ],
      "last_verified_at": "2026-07-02T06:00:55.821Z"
    },
    {
      "project_id": "modelscope/evalscope",
      "repo": "modelscope/evalscope",
      "name": "evalscope",
      "github_url": "https://github.com/modelscope/evalscope",
      "homepage_url": "https://evalscope.readthedocs.io/en/latest/",
      "language": "Python",
      "license": "Apache-2.0",
      "project_kind": "project",
      "category": [
        "llm_eval"
      ],
      "tags": [
        "evaluation",
        "llm",
        "performance",
        "rag",
        "vlm"
      ],
      "description": "A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.",
      "overview": "Use modelscope/evalscope when the user needs a llm eval project with docker, library_only, local deployment options.",
      "alternatives": [],
      "related": [],
      "dependencies": [
        "Vector database",
        "LLM provider"
      ],
      "deployments": [
        "docker",
        "library_only",
        "local",
        "cloud"
      ],
      "difficulty": "beginner",
      "cloudflare_ready": false,
      "use_cases": [
        "evaluate LLM outputs",
        "benchmark prompts and agents",
        "track model quality"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "high",
          "evidence": [
            "Matched \"eval\" in metadata.",
            "Matched \"evaluation\" in metadata.",
            "Matched \"benchmark\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Matched \"pip install\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python, gpu.",
            "No Cloudflare deployment signal detected."
          ]
        }
      },
      "quality_signals": {
        "stars": 3014,
        "recent_commits": 34,
        "contributors": 70,
        "issue_response_time_hours": null,
        "release_frequency_180d": 11
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "estimated",
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 37,
      "agent_score": 81,
      "score": 91,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 62,
        "deployment": 90,
        "popularity": 70,
        "community": 100
      },
      "git_top_score": 91,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 74,
        "documentation": 84,
        "stability": 100,
        "adoption": 100,
        "agent_readability": 90
      },
      "summary": {
        "tl_dr": "Use modelscope/evalscope when the user needs a llm eval project with docker, library_only, local deployment options.",
        "purpose": "Use modelscope/evalscope when the user needs a llm eval project with docker, library_only, local deployment options.",
        "install": "Run with Docker using the repository's container instructions.",
        "inputs": [
          "prompts",
          "model outputs",
          "test cases"
        ],
        "outputs": [
          "scores",
          "benchmarks",
          "eval reports"
        ],
        "good_for": [
          "evaluate LLM outputs",
          "benchmark prompts and agents",
          "track model quality",
          "model evaluation",
          "benchmarking",
          "regression testing"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "production inference serving",
          "end-user chat apps"
        ],
        "deployment": [
          "docker",
          "library_only",
          "local",
          "cloud"
        ],
        "alternatives": []
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "high",
            "evidence": [
              "Matched \"eval\" in metadata.",
              "Matched \"evaluation\" in metadata.",
              "Matched \"benchmark\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Matched \"pip install\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
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