{
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    "project_id": "aduermael/wb",
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    "name": "wb",
    "github_url": "https://github.com/aduermael/wb",
    "homepage_url": null,
    "language": "Swift",
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      "automation",
      "browser",
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      "swift",
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    "description": "macOS 26+ browser CLI for agents: persistent sessions, compact JSON, screenshots, clicks/forms, JS eval, and live preview in under 2 MB.",
    "overview": "Use aduermael/wb when the user needs a llm eval project with library_only, local, cloud deployment options.",
    "alternatives": [],
    "related": [],
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      "Browser automation",
      "LLM provider"
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      "local",
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      "benchmark prompts and agents",
      "track model quality"
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      "users expecting a complete hosted product"
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    "classification": {
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        "confidence": "medium",
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          "Matched \"npm install\" in repository content.",
          "Local usage is assumed for open source repositories unless contradicted."
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      },
      "difficulty": {
        "confidence": "medium",
        "evidence": [
          "Repository has under 10k stars, so complexity is treated conservatively."
        ]
      },
      "cloudflare_ready": {
        "confidence": "low",
        "evidence": [
          "No Cloudflare deployment signal detected."
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      "stars": 60,
      "recent_commits": 53,
      "contributors": 1,
      "issue_response_time_hours": null,
      "release_frequency_180d": 6
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      "commits_30d": "complete",
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      "contributors_90d": "complete"
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    "quality_score": 20,
    "agent_score": 59,
    "score": 72,
    "agent_score_breakdown": {
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      "maintenance": 37,
      "deployment": 80,
      "popularity": 36,
      "community": 46
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    "git_top_score": 72,
    "git_top_score_breakdown": {
      "community": 63,
      "maintenance": 57,
      "documentation": 84,
      "stability": 100,
      "adoption": 42,
      "agent_readability": 90
    },
    "summary": {
      "tl_dr": "Use aduermael/wb when the user needs a llm eval project with library_only, local, cloud deployment options.",
      "purpose": "Use aduermael/wb 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": [
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        "model outputs",
        "test cases"
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      "outputs": [
        "scores",
        "benchmarks",
        "eval reports"
      ],
      "good_for": [
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        "benchmark prompts and agents",
        "track model quality",
        "model evaluation",
        "benchmarking",
        "regression testing"
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        "users expecting a complete hosted product",
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      "classification": {
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          "confidence": "medium",
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          "confidence": "high",
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            "Matched \"npm install\" in repository content.",
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            "Repository has under 10k stars, so complexity is treated conservatively."
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        "cloudflare_ready": {
          "confidence": "low",
          "evidence": [
            "No Cloudflare deployment signal detected."
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      "quality_signal_confidence": {
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        "commits_30d": "complete",
        "releases_180d": "complete",
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        "users expecting a complete hosted product",
        "Low-confidence classification fields: cloudflareReady.",
        "Partial or estimated quality signals: stars30dDelta."
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    },
    "caveats": [
      "edge-only Cloudflare Workers deployment without adaptation",
      "users expecting a complete hosted product",
      "Low-confidence classification fields: cloudflareReady.",
      "Partial or estimated quality signals: stars30dDelta."
    ],
    "confidence_reason": "Evidence is incomplete; use this project as an exploration candidate until classification and quality signals are reviewed.",
    "source_fields": [
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      "project.topics",
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    {
      "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"
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      "last_verified_at": "2026-07-01T10:01:02.136Z"
    },
    {
      "project_id": "lmnr-ai/lmnr",
      "repo": "lmnr-ai/lmnr",
      "name": "lmnr",
      "github_url": "https://github.com/lmnr-ai/lmnr",
      "homepage_url": "https://laminar.sh",
      "language": "TypeScript",
      "license": "Apache-2.0",
      "project_kind": "project",
      "category": [
        "llm_eval"
      ],
      "tags": [
        "agent-observability",
        "agents",
        "ai",
        "ai-observability",
        "aiops",
        "analytics",
        "developer-tools",
        "evals",
        "evaluation",
        "llm-evaluation",
        "llm-observability",
        "llmops",
        "monitoring",
        "observability",
        "open-source",
        "rust",
        "rust-lang",
        "self-hosted",
        "ts",
        "typescript"
      ],
      "description": "Laminar - open-source observability platform purpose-built for AI agents. YC S24.",
      "overview": "Use lmnr-ai/lmnr when the user needs a llm eval project with docker, vercel, serverless deployment options.",
      "alternatives": [],
      "related": [],
      "dependencies": [
        "LLM provider"
      ],
      "deployments": [
        "docker",
        "vercel",
        "serverless",
        "library_only",
        "local"
      ],
      "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 \"vercel\" 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": 3070,
        "recent_commits": 79,
        "contributors": 25,
        "issue_response_time_hours": null,
        "release_frequency_180d": 20
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 15,
        "commits_30d": "complete",
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      "agent_score": 78,
      "score": 90,
      "agent_score_breakdown": {
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        "maintenance": 59,
        "deployment": 100,
        "popularity": 70,
        "community": 70
      },
      "git_top_score": 90,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 72,
        "documentation": 84,
        "stability": 100,
        "adoption": 100,
        "agent_readability": 90
      },
      "summary": {
        "tl_dr": "Use lmnr-ai/lmnr when the user needs a llm eval project with docker, vercel, serverless deployment options.",
        "purpose": "Use lmnr-ai/lmnr when the user needs a llm eval project with docker, vercel, serverless 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"
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        "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",
          "vercel",
          "serverless",
          "library_only",
          "local"
        ],
        "alternatives": []
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "high",
            "evidence": [
              "Matched \"eval\" in metadata.",
              "Matched \"evaluation\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Found Docker configuration file.",
              "Matched \"vercel\" 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": "snapshot",
          "stars30d_window_days": 15,
          "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": "2026-07-06T21:00:24.480Z"
      },
      "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": "2026-07-06T21:00:24.480Z"
    },
    {
      "project_id": "agentscope-ai/OpenJudge",
      "repo": "agentscope-ai/OpenJudge",
      "name": "OpenJudge",
      "github_url": "https://github.com/agentscope-ai/OpenJudge",
      "homepage_url": "https://openjudge.me/",
      "language": "Python",
      "license": "Apache-2.0",
      "project_kind": "project",
      "category": [
        "llm_eval"
      ],
      "tags": [
        "agent",
        "agent-skills",
        "ai-agent",
        "alignment",
        "evaluation",
        "grader",
        "llm",
        "reward",
        "reward-model",
        "rlhf",
        "skill-md",
        "skills"
      ],
      "description": "OpenJudge: A Unified Framework for Holistic Evaluation and Quality Rewards",
      "overview": "Use agentscope-ai/OpenJudge when the user needs a llm eval project with library_only, local, cloud deployment options.",
      "alternatives": [],
      "related": [],
      "dependencies": [
        "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": 699,
        "recent_commits": 3,
        "contributors": 17,
        "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": 12,
      "agent_score": 61,
      "score": 74,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 19,
        "deployment": 80,
        "popularity": 57,
        "community": 62
      },
      "git_top_score": 74,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 19,
        "documentation": 84,
        "stability": 86,
        "adoption": 80,
        "agent_readability": 90
      },
      "summary": {
        "tl_dr": "Use agentscope-ai/OpenJudge when the user needs a llm eval project with library_only, local, cloud deployment options.",
        "purpose": "Use agentscope-ai/OpenJudge 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": [
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          "model outputs",
          "test cases"
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        "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": []
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      "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."
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          },
          "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"
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          "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": "2026-07-02T03:01:03.696Z"
      },
      "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": "2026-07-02T03:01:03.696Z"
    },
    {
      "project_id": "NVIDIA/garak",
      "repo": "NVIDIA/garak",
      "name": "garak",
      "github_url": "https://github.com/NVIDIA/garak",
      "homepage_url": "https://discord.gg/uVch4puUCs",
      "language": "Python",
      "license": "Apache-2.0",
      "project_kind": "project",
      "category": [
        "llm_eval"
      ],
      "tags": [
        "ai",
        "llm-evaluation",
        "llm-security",
        "security-scanners",
        "vulnerability-assessment"
      ],
      "description": "the LLM vulnerability scanner",
      "overview": "Use NVIDIA/garak when the user needs a llm eval project with library_only, local, cloud deployment options.",
      "alternatives": [],
      "related": [],
      "dependencies": [
        "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.",
            "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": 8307,
        "recent_commits": 43,
        "contributors": 100,
        "issue_response_time_hours": null,
        "release_frequency_180d": 4
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 11,
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "partial"
      },
      "quality_score": 32,
      "agent_score": 78,
      "score": 87,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 50,
        "deployment": 80,
        "popularity": 78,
        "community": 100
      },
      "git_top_score": 87,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 62,
        "documentation": 84,
        "stability": 90,
        "adoption": 100,
        "agent_readability": 90
      },
      "summary": {
        "tl_dr": "Use NVIDIA/garak when the user needs a llm eval project with library_only, local, cloud deployment options.",
        "purpose": "Use NVIDIA/garak 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.",
              "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": "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",
          "Partial or estimated quality signals: contributors90d."
        ],
        "confidence_reason": "Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.",
        "last_verified_at": "2026-07-02T22:00:55.154Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: contributors90d."
      ],
      "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": "2026-07-02T22:00:55.154Z"
    },
    {
      "project_id": "strands-agents/evals",
      "repo": "strands-agents/evals",
      "name": "evals",
      "github_url": "https://github.com/strands-agents/evals",
      "homepage_url": "https://strandsagents.com",
      "language": "Python",
      "license": "Apache-2.0",
      "project_kind": "project",
      "category": [
        "llm_eval"
      ],
      "tags": [
        "agentic",
        "agentic-ai",
        "ai",
        "evaluation",
        "machine-learning",
        "python",
        "strands-agents"
      ],
      "description": "A comprehensive evaluation framework for AI agents and LLM applications.",
      "overview": "Use strands-agents/evals when the user needs a llm eval project with library_only, local, cloud deployment options.",
      "alternatives": [],
      "related": [],
      "dependencies": [
        "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.",
            "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": 153,
        "recent_commits": 43,
        "contributors": 23,
        "issue_response_time_hours": null,
        "release_frequency_180d": 21
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "estimated",
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 28,
      "agent_score": 67,
      "score": 84,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 53,
        "deployment": 80,
        "popularity": 44,
        "community": 68
      },
      "git_top_score": 84,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 68,
        "documentation": 84,
        "stability": 100,
        "adoption": 64,
        "agent_readability": 90
      },
      "summary": {
        "tl_dr": "Use strands-agents/evals when the user needs a llm eval project with library_only, local, cloud deployment options.",
        "purpose": "Use strands-agents/evals 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.",
              "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": "2026-07-01T14:01:05.711Z"
      },
      "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": "2026-07-01T14:01:05.711Z"
    },
    {
      "project_id": "truera/trulens",
      "repo": "truera/trulens",
      "name": "trulens",
      "github_url": "https://github.com/truera/trulens",
      "homepage_url": "https://www.trulens.org/",
      "language": "Python",
      "license": "MIT",
      "project_kind": "project",
      "category": [
        "llm_eval"
      ],
      "tags": [
        "agent-evaluation",
        "agentops",
        "ai-agents",
        "ai-monitoring",
        "ai-observability",
        "evals",
        "explainable-ml",
        "llm-eval",
        "llm-evaluation",
        "llmops",
        "llms",
        "machine-learning",
        "neural-networks"
      ],
      "description": "Evaluation and Tracking for LLM Experiments and AI Agents",
      "overview": "Use truera/trulens when the user needs a llm eval project with library_only, local, cloud deployment options.",
      "alternatives": [],
      "related": [],
      "dependencies": [
        "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.",
            "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": 3412,
        "recent_commits": 4,
        "contributors": 76,
        "issue_response_time_hours": null,
        "release_frequency_180d": 7
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 11,
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 28,
      "agent_score": 76,
      "score": 84,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 49,
        "deployment": 80,
        "popularity": 71,
        "community": 100
      },
      "git_top_score": 84,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 49,
        "documentation": 84,
        "stability": 90,
        "adoption": 100,
        "agent_readability": 90
      },
      "summary": {
        "tl_dr": "Use truera/trulens when the user needs a llm eval project with library_only, local, cloud deployment options.",
        "purpose": "Use truera/trulens 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.",
              "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": "2026-07-02T19:00:50.783Z"
      },
      "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": "2026-07-02T19:00:50.783Z"
    },
    {
      "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"
      ],
      "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": {
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      "overview": "Use Ahoo-Wang/GodeX when the user needs a llm eval project with docker, library_only, local deployment options.",
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      "related": [],
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          "evidence": [
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        },
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      "score": 71,
      "agent_score_breakdown": {
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        "deployment": 90,
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        "community": 47
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        "maintenance": 56,
        "documentation": 84,
        "stability": 100,
        "adoption": 37,
        "agent_readability": 90
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            "confidence": "low",
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              "No Cloudflare deployment signal detected."
            ]
          }
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        "quality_signal_confidence": {
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          "releases_180d": "complete",
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          "Low-confidence classification fields: cloudflareReady.",
          "Partial or estimated quality signals: stars30dDelta."
        ],
        "confidence_reason": "Evidence is incomplete; use this project as an exploration candidate until classification and quality signals are reviewed.",
        "last_verified_at": "2026-07-02T02:01:04.067Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
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      ],
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        "project.topics",
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    "requested_id": "aduermael/wb",
    "resolved_id": "aduermael/wb",
    "resolution": "direct"
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    "generated_at": "2026-07-09T02:28:55.831Z",
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