{
  "project": {
    "project_id": "callstackincubator/evals",
    "repo": "callstackincubator/evals",
    "name": "evals",
    "github_url": "https://github.com/callstackincubator/evals",
    "homepage_url": "https://rn-evals.vercel.app",
    "language": "TypeScript",
    "license": "MIT",
    "project_kind": "project",
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      "llm_eval"
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      "agents",
      "ai",
      "evals",
      "react-native"
    ],
    "description": "A benchmark suite for evaluating how coding models solve real React Native tasks.",
    "overview": "Use callstackincubator/evals when the user needs a llm eval project with docker, local, cloud deployment options.",
    "alternatives": [],
    "related": [],
    "dependencies": [
      "LLM provider"
    ],
    "deployments": [
      "docker",
      "local",
      "cloud"
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    "cloudflare_ready": false,
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      "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": [
          "No Cloudflare deployment signal detected.",
          "No wrangler.toml found in inspected repository files."
        ]
      }
    },
    "quality_signals": {
      "stars": 110,
      "recent_commits": 0,
      "contributors": 16,
      "issue_response_time_hours": null,
      "release_frequency_180d": 2
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    "quality_signal_confidence": {
      "stars_30d_delta": "estimated",
      "commits_30d": "complete",
      "releases_180d": "complete",
      "contributors_90d": "complete"
    },
    "quality_score": 10,
    "agent_score": 56,
    "score": 66,
    "agent_score_breakdown": {
      "documentation": 90,
      "maintenance": 14,
      "deployment": 80,
      "popularity": 41,
      "community": 61
    },
    "git_top_score": 66,
    "git_top_score_breakdown": {
      "community": 100,
      "maintenance": 13,
      "documentation": 84,
      "stability": 71,
      "adoption": 52,
      "agent_readability": 90
    },
    "summary": {
      "tl_dr": "Use callstackincubator/evals when the user needs a llm eval project with docker, local, cloud deployment options.",
      "purpose": "Use callstackincubator/evals when the user needs a llm eval project with docker, local, cloud deployment options.",
      "install": "Run with Docker using the repository's container instructions.",
      "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"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "production inference serving",
        "end-user chat apps"
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      "deployment": [
        "docker",
        "local",
        "cloud"
      ],
      "alternatives": []
    },
    "evidence": {
      "classification": {
        "category": {
          "confidence": "high",
          "evidence": [
            "Matched \"eval\" in metadata.",
            "Matched \"benchmark\" in metadata."
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        },
        "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": [
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "estimated",
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "source_fields": [
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        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
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        "agent_card.deployment",
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        "metrics"
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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": "2026-08-17T04:00:16.425Z"
    },
    "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.",
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      "project.description",
      "project.topics",
      "project.language",
      "project.license",
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      "agent_card.deployment",
      "agent_card.classification",
      "metrics"
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    "last_verified_at": "2026-08-17T04:00:16.425Z"
  },
  "related": [
    {
      "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": [
        {
          "repo": "promptfoo/promptfoo",
          "reason": "Similar llm eval with docker/library_only deployment overlap."
        },
        {
          "repo": "comet-ml/opik",
          "reason": "Same llm eval intent with observability overlap."
        },
        {
          "repo": "Arize-ai/phoenix",
          "reason": "Same llm eval intent with observability overlap."
        }
      ],
      "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.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 3174,
        "recent_commits": 0,
        "contributors": 26,
        "issue_response_time_hours": null,
        "release_frequency_180d": 18
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 31,
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 26,
      "agent_score": 75,
      "score": 85,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 48,
        "deployment": 100,
        "popularity": 70,
        "community": 71
      },
      "git_top_score": 85,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 45,
        "documentation": 84,
        "stability": 90,
        "adoption": 100,
        "agent_readability": 100
      },
      "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"
        ],
        "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": [
          {
            "repo": "promptfoo/promptfoo",
            "reason": "Similar llm eval with docker/library_only deployment overlap."
          },
          {
            "repo": "comet-ml/opik",
            "reason": "Same llm eval intent with observability overlap."
          },
          {
            "repo": "Arize-ai/phoenix",
            "reason": "Same llm eval intent with observability overlap."
          }
        ]
      },
      "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.",
              "No wrangler.toml found in inspected repository files."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 31,
          "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": "2026-08-17T00:30:40.093Z"
      },
      "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": "2026-08-17T00:30:40.093Z"
    },
    {
      "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": [
        {
          "repo": "comet-ml/opik",
          "reason": "Same llm eval intent with workflow overlap."
        },
        {
          "repo": "modelscope/evalscope",
          "reason": "Similar llm eval with library_only/local deployment overlap."
        },
        {
          "repo": "aduermael/wb",
          "reason": "Same llm eval intent with browser_automation, workflow overlap."
        }
      ],
      "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.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 758,
        "recent_commits": 0,
        "contributors": 2,
        "issue_response_time_hours": null,
        "release_frequency_180d": 2
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 33,
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 8,
      "agent_score": 59,
      "score": 72,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 20,
        "deployment": 80,
        "popularity": 58,
        "community": 47
      },
      "git_top_score": 72,
      "git_top_score_breakdown": {
        "community": 77,
        "maintenance": 17,
        "documentation": 84,
        "stability": 86,
        "adoption": 84,
        "agent_readability": 100
      },
      "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": [
          {
            "repo": "comet-ml/opik",
            "reason": "Same llm eval intent with workflow overlap."
          },
          {
            "repo": "modelscope/evalscope",
            "reason": "Similar llm eval with library_only/local deployment overlap."
          },
          {
            "repo": "aduermael/wb",
            "reason": "Same llm eval intent with browser_automation, workflow overlap."
          }
        ]
      },
      "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.",
              "No wrangler.toml found in inspected repository files."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 33,
          "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": "2026-08-14T22:00:17.512Z"
      },
      "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": "2026-08-14T22:00:17.512Z"
    },
    {
      "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": [
        {
          "repo": "comet-ml/opik",
          "reason": "Same llm eval intent with observability overlap."
        },
        {
          "repo": "Arize-ai/phoenix",
          "reason": "Same llm eval intent with observability overlap."
        },
        {
          "repo": "lmnr-ai/lmnr",
          "reason": "Same llm eval intent with observability overlap."
        }
      ],
      "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.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 154,
        "recent_commits": 7,
        "contributors": 14,
        "issue_response_time_hours": null,
        "release_frequency_180d": 32
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 37,
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 23,
      "agent_score": 67,
      "score": 81,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 40,
        "deployment": 100,
        "popularity": 44,
        "community": 59
      },
      "git_top_score": 81,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 45,
        "documentation": 92,
        "stability": 100,
        "adoption": 61,
        "agent_readability": 100
      },
      "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": [
          {
            "repo": "comet-ml/opik",
            "reason": "Same llm eval intent with observability overlap."
          },
          {
            "repo": "Arize-ai/phoenix",
            "reason": "Same llm eval intent with observability overlap."
          },
          {
            "repo": "lmnr-ai/lmnr",
            "reason": "Same llm eval intent with observability overlap."
          }
        ]
      },
      "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.",
              "No wrangler.toml found in inspected repository files."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 37,
          "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": "2026-08-10T13:48:27.398Z"
      },
      "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": "2026-08-10T13:48:27.398Z"
    },
    {
      "project_id": "GoogleCloudPlatform/evalbench",
      "repo": "GoogleCloudPlatform/evalbench",
      "name": "evalbench",
      "github_url": "https://github.com/GoogleCloudPlatform/evalbench",
      "homepage_url": null,
      "language": "Python",
      "license": "Apache-2.0",
      "project_kind": "project",
      "category": [
        "llm_eval"
      ],
      "tags": [
        "databases",
        "eval",
        "evaluation-framework",
        "nl2sql",
        "text2sql"
      ],
      "description": "EvalBench is a flexible framework designed to measure the quality of generative AI (GenAI) workflows around database specific tasks.",
      "overview": "Use GoogleCloudPlatform/evalbench when the user needs a llm eval project with docker, local, cloud deployment options.",
      "alternatives": [
        {
          "repo": "promptfoo/promptfoo",
          "reason": "Similar llm eval with docker/local deployment overlap."
        },
        {
          "repo": "comet-ml/opik",
          "reason": "Same llm eval intent with workflow overlap."
        },
        {
          "repo": "Arize-ai/phoenix",
          "reason": "Similar llm eval with docker/local deployment overlap."
        }
      ],
      "related": [],
      "dependencies": [
        "LLM provider"
      ],
      "deployments": [
        "docker",
        "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"
      ],
      "classification": {
        "category": {
          "confidence": "high",
          "evidence": [
            "Matched \"eval\" in metadata.",
            "Matched \"evaluation\" 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, postgres.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 55,
        "recent_commits": 100,
        "contributors": 31,
        "issue_response_time_hours": null,
        "release_frequency_180d": 18
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 31,
        "commits_30d": "partial",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 35,
      "agent_score": 69,
      "score": 85,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 63,
        "deployment": 80,
        "popularity": 35,
        "community": 76
      },
      "git_top_score": 85,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 75,
        "documentation": 84,
        "stability": 100,
        "adoption": 53,
        "agent_readability": 100
      },
      "summary": {
        "tl_dr": "Use GoogleCloudPlatform/evalbench when the user needs a llm eval project with docker, local, cloud deployment options.",
        "purpose": "Use GoogleCloudPlatform/evalbench when the user needs a llm eval project with docker, local, cloud 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",
          "production inference serving",
          "end-user chat apps"
        ],
        "deployment": [
          "docker",
          "local",
          "cloud"
        ],
        "alternatives": [
          {
            "repo": "promptfoo/promptfoo",
            "reason": "Similar llm eval with docker/local deployment overlap."
          },
          {
            "repo": "comet-ml/opik",
            "reason": "Same llm eval intent with workflow overlap."
          },
          {
            "repo": "Arize-ai/phoenix",
            "reason": "Similar llm eval with docker/local deployment overlap."
          }
        ]
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "high",
            "evidence": [
              "Matched \"eval\" in metadata.",
              "Matched \"evaluation\" 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, postgres.",
              "No Cloudflare deployment signal detected.",
              "No wrangler.toml found in inspected repository files."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 31,
          "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",
          "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": "2026-08-17T00:36:56.647Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "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": "2026-08-17T00:36:56.647Z"
    },
    {
      "project_id": "Arize-ai/phoenix",
      "repo": "Arize-ai/phoenix",
      "name": "phoenix",
      "github_url": "https://github.com/Arize-ai/phoenix",
      "homepage_url": "https://arize.com/docs/phoenix",
      "language": "Python",
      "license": "NOASSERTION",
      "project_kind": "project",
      "category": [
        "llm_eval"
      ],
      "tags": [
        "agents",
        "ai-monitoring",
        "ai-observability",
        "aiengineering",
        "anthropic",
        "datasets",
        "evals",
        "langchain",
        "llamaindex",
        "llm-eval",
        "llm-evaluation",
        "llmops",
        "llms",
        "openai",
        "prompt-engineering",
        "smolagents"
      ],
      "description": "AI Observability & Evaluation",
      "overview": "Use Arize-ai/phoenix when the user needs a llm eval project with docker, vercel, serverless deployment options.",
      "alternatives": [
        {
          "repo": "comet-ml/opik",
          "reason": "Same llm eval intent with observability overlap."
        },
        {
          "repo": "truera/trulens",
          "reason": "Same llm eval intent with observability overlap."
        },
        {
          "repo": "raga-ai-hub/RagaAI-Catalyst",
          "reason": "Same llm eval intent with observability overlap."
        }
      ],
      "related": [],
      "dependencies": [
        "LLM provider"
      ],
      "deployments": [
        "docker",
        "vercel",
        "serverless",
        "kubernetes",
        "library_only",
        "local"
      ],
      "difficulty": "advanced",
      "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 \"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": [
            "Found multi-service or orchestration configuration files."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 11073,
        "recent_commits": 100,
        "contributors": 100,
        "issue_response_time_hours": null,
        "release_frequency_180d": 100
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 31,
        "commits_30d": "partial",
        "releases_180d": "partial",
        "contributors_90d": "partial"
      },
      "quality_score": 57,
      "agent_score": 89,
      "score": 93,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 76,
        "deployment": 100,
        "popularity": 81,
        "community": 100
      },
      "git_top_score": 93,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 84,
        "documentation": 84,
        "stability": 90,
        "adoption": 100,
        "agent_readability": 100
      },
      "summary": {
        "tl_dr": "Use Arize-ai/phoenix when the user needs a llm eval project with docker, vercel, serverless deployment options.",
        "purpose": "Use Arize-ai/phoenix 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"
        ],
        "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",
          "kubernetes",
          "library_only",
          "local"
        ],
        "alternatives": [
          {
            "repo": "comet-ml/opik",
            "reason": "Same llm eval intent with observability overlap."
          },
          {
            "repo": "truera/trulens",
            "reason": "Same llm eval intent with observability overlap."
          },
          {
            "repo": "raga-ai-hub/RagaAI-Catalyst",
            "reason": "Same llm eval intent with observability overlap."
          }
        ]
      },
      "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 \"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": [
              "Found multi-service or orchestration configuration files."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python.",
              "No Cloudflare deployment signal detected.",
              "No wrangler.toml found in inspected repository files."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 31,
          "commits_30d": "partial",
          "releases_180d": "partial",
          "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: commits30d, releases180d, contributors90d."
        ],
        "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-08-17T00:30:23.743Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: commits30d, releases180d, 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": "2026-08-17T00:30:23.743Z"
    },
    {
      "project_id": "samugit83/redamon",
      "repo": "samugit83/redamon",
      "name": "redamon",
      "github_url": "https://github.com/samugit83/redamon",
      "homepage_url": null,
      "language": "Python",
      "license": "MIT",
      "project_kind": "project",
      "category": [
        "llm_eval"
      ],
      "tags": [
        "agentic-ai",
        "ai",
        "cybersecurity",
        "ethical-hacking",
        "ethical-hacking-tools",
        "exploitation",
        "metasploit",
        "osint",
        "penetration-testing",
        "red-team"
      ],
      "description": "An AI-powered agentic red team framework that automates offensive security operations, from reconnaissance to exploitation to post-exploitation, with zero human intervention.",
      "overview": "Use samugit83/redamon when the user needs a llm eval project with docker, local, cloud deployment options.",
      "alternatives": [
        {
          "repo": "comet-ml/opik",
          "reason": "Similar llm eval with docker/local deployment overlap."
        },
        {
          "repo": "Arize-ai/phoenix",
          "reason": "Similar llm eval with docker/local deployment overlap."
        },
        {
          "repo": "strands-agents/evals",
          "reason": "Similar llm eval with local/cloud deployment overlap."
        }
      ],
      "related": [],
      "dependencies": [
        "LLM provider"
      ],
      "deployments": [
        "docker",
        "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"
      ],
      "classification": {
        "category": {
          "confidence": "medium",
          "evidence": [
            "Curated category override for samugit83/redamon."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Found Docker configuration file.",
            "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, filesystem.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 2297,
        "recent_commits": 100,
        "contributors": 10,
        "issue_response_time_hours": null,
        "release_frequency_180d": 14
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 35,
        "commits_30d": "partial",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 35,
      "agent_score": 71,
      "score": 92,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 58,
        "deployment": 80,
        "popularity": 67,
        "community": 55
      },
      "git_top_score": 92,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 71,
        "documentation": 84,
        "stability": 100,
        "adoption": 100,
        "agent_readability": 100
      },
      "summary": {
        "tl_dr": "Use samugit83/redamon when the user needs a llm eval project with docker, local, cloud deployment options.",
        "purpose": "Use samugit83/redamon when the user needs a llm eval project with docker, local, cloud 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",
          "production inference serving",
          "end-user chat apps"
        ],
        "deployment": [
          "docker",
          "local",
          "cloud"
        ],
        "alternatives": [
          {
            "repo": "comet-ml/opik",
            "reason": "Similar llm eval with docker/local deployment overlap."
          },
          {
            "repo": "Arize-ai/phoenix",
            "reason": "Similar llm eval with docker/local deployment overlap."
          },
          {
            "repo": "strands-agents/evals",
            "reason": "Similar llm eval with local/cloud deployment overlap."
          }
        ]
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "medium",
            "evidence": [
              "Curated category override for samugit83/redamon."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Found Docker configuration file.",
              "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, filesystem.",
              "No Cloudflare deployment signal detected.",
              "No wrangler.toml found in inspected repository files."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 35,
          "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",
          "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": "2026-08-11T09:18:16.995Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "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": "2026-08-11T09:18:16.995Z"
    },
    {
      "project_id": "hugalafutro/model-hotel",
      "repo": "hugalafutro/model-hotel",
      "name": "model-hotel",
      "github_url": "https://github.com/hugalafutro/model-hotel",
      "homepage_url": null,
      "language": "Go",
      "license": "MIT",
      "project_kind": "project",
      "category": [
        "llm_eval"
      ],
      "tags": [
        "ai",
        "ai-tools",
        "android-app",
        "discovery",
        "failover",
        "high-availability",
        "llm",
        "llm-evaluation",
        "llm-proxy",
        "llm-tools",
        "llms",
        "model",
        "models",
        "openai-api",
        "provider",
        "providers",
        "proxy"
      ],
      "description": "Multi-Provider AI Gateway - No personal logs by design. Model autodiscovery, Failover groups, High availability, Android companion app, and more. \"Because we have LiteLLM at home\"",
      "overview": "Use hugalafutro/model-hotel when the user needs a llm eval project with docker, local, cloud deployment options.",
      "alternatives": [
        {
          "repo": "promptfoo/promptfoo",
          "reason": "Similar llm eval with docker/local deployment overlap."
        },
        {
          "repo": "comet-ml/opik",
          "reason": "Similar llm eval with docker/local deployment overlap."
        },
        {
          "repo": "Portkey-AI/models",
          "reason": "Same llm eval intent with llm_gateway overlap."
        }
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      "dependencies": [
        "LLM provider"
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      "deployments": [
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        "local",
        "cloud"
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      "cloudflare_ready": false,
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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"
      ],
      "classification": {
        "category": {
          "confidence": "high",
          "evidence": [
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            "Matched \"evaluation\" in metadata."
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        "deployment": {
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          "evidence": [
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            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
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        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: postgres.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
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      "quality_signals": {
        "stars": 51,
        "recent_commits": 100,
        "contributors": 4,
        "issue_response_time_hours": null,
        "release_frequency_180d": 45
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        "commits_30d": "partial",
        "releases_180d": "complete",
        "contributors_90d": "complete"
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      "quality_score": 30,
      "agent_score": 63,
      "score": 78,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 57,
        "deployment": 80,
        "popularity": 34,
        "community": 49
      },
      "git_top_score": 78,
      "git_top_score_breakdown": {
        "community": 71,
        "maintenance": 71,
        "documentation": 84,
        "stability": 100,
        "adoption": 42,
        "agent_readability": 100
      },
      "summary": {
        "tl_dr": "Use hugalafutro/model-hotel when the user needs a llm eval project with docker, local, cloud deployment options.",
        "purpose": "Use hugalafutro/model-hotel when the user needs a llm eval project with docker, local, cloud deployment options.",
        "install": "Run with Docker using the repository's container instructions.",
        "inputs": [
          "prompts",
          "model outputs",
          "test cases"
        ],
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          "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",
          "production inference serving",
          "end-user chat apps"
        ],
        "deployment": [
          "docker",
          "local",
          "cloud"
        ],
        "alternatives": [
          {
            "repo": "promptfoo/promptfoo",
            "reason": "Similar llm eval with docker/local deployment overlap."
          },
          {
            "repo": "comet-ml/opik",
            "reason": "Similar llm eval with docker/local deployment overlap."
          },
          {
            "repo": "Portkey-AI/models",
            "reason": "Same llm eval intent with llm_gateway overlap."
          }
        ]
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "high",
            "evidence": [
              "Matched \"eval\" in metadata.",
              "Matched \"evaluation\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Found Docker configuration file.",
              "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: postgres.",
              "No Cloudflare deployment signal detected.",
              "No wrangler.toml found in inspected repository files."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "estimated",
          "commits_30d": "partial",
          "releases_180d": "complete",
          "contributors_90d": "complete"
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          "edge-only Cloudflare Workers deployment without adaptation",
          "Partial or estimated quality signals: stars30dDelta, commits30d."
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        "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-08-15T12:00:14.691Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "Partial or estimated quality signals: stars30dDelta, commits30d."
      ],
      "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
      "source_fields": [
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      "last_verified_at": "2026-08-15T12:00:14.691Z"
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    {
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      "name": "openbench",
      "github_url": "https://github.com/minghinmatthewlam/openbench",
      "homepage_url": null,
      "language": "Python",
      "license": "MIT",
      "project_kind": "project",
      "category": [
        "llm_eval"
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      "tags": [
        "ai-agents",
        "benchmark",
        "coding-agents",
        "evals",
        "llm",
        "open-models"
      ],
      "description": "Same model, different wrapper: a from-scratch benchmark comparing coding-agent harnesses (codex, pi, opencode, cursor, devin) and open models on correctness, speed, and token cost",
      "overview": "Use minghinmatthewlam/openbench when the user needs a llm eval project with docker, library-only, local deployment options.",
      "alternatives": [
        {
          "repo": "comet-ml/opik",
          "reason": "Similar llm eval with docker/library_only deployment overlap."
        },
        {
          "repo": "truera/trulens",
          "reason": "Similar llm eval with library_only/local deployment overlap."
        },
        {
          "repo": "agentevals-dev/agentevals",
          "reason": "Similar llm eval with docker/library_only deployment overlap."
        }
      ],
      "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"
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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 \"benchmark\" 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, gpu.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 121,
        "recent_commits": 100,
        "contributors": 2,
        "issue_response_time_hours": null,
        "release_frequency_180d": 2
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 14,
        "commits_30d": "partial",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 17,
      "agent_score": 62,
      "score": 73,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 36,
        "deployment": 90,
        "popularity": 42,
        "community": 47
      },
      "git_top_score": 73,
      "git_top_score_breakdown": {
        "community": 69,
        "maintenance": 48,
        "documentation": 92,
        "stability": 86,
        "adoption": 52,
        "agent_readability": 100
      },
      "summary": {
        "tl_dr": "Use minghinmatthewlam/openbench when the user needs a llm eval project with docker, library-only, local deployment options.",
        "purpose": "Use minghinmatthewlam/openbench 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"
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        "outputs": [
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          "benchmarks",
          "eval reports"
        ],
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          "evaluate LLM outputs",
          "benchmark prompts and agents",
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          "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": [
          {
            "repo": "comet-ml/opik",
            "reason": "Similar llm eval with docker/library_only deployment overlap."
          },
          {
            "repo": "truera/trulens",
            "reason": "Similar llm eval with library_only/local deployment overlap."
          },
          {
            "repo": "agentevals-dev/agentevals",
            "reason": "Similar llm eval with docker/library_only deployment overlap."
          }
        ]
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "high",
            "evidence": [
              "Matched \"eval\" in metadata.",
              "Matched \"benchmark\" 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, gpu.",
              "No Cloudflare deployment signal detected.",
              "No wrangler.toml found in inspected repository files."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 14,
          "commits_30d": "partial",
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          "contributors_90d": "complete"
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        "caveats": [
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          "users expecting a complete hosted product",
          "Partial or estimated quality signals: commits30d."
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        "last_verified_at": "2026-08-10T13:51:18.699Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: commits30d."
      ],
      "confidence_reason": "Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.",
      "source_fields": [
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    "resolved_id": "callstackincubator/evals",
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    "generated_at": "2026-08-17T05:06:22.502Z",
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