{
  "project": {
    "project_id": "vllm-project/production-stack",
    "repo": "vllm-project/production-stack",
    "name": "production-stack",
    "github_url": "https://github.com/vllm-project/production-stack",
    "homepage_url": "https://docs.vllm.ai/projects/production-stack",
    "language": "Python",
    "license": "Apache-2.0",
    "project_kind": "project",
    "category": [
      "llm_eval"
    ],
    "tags": [],
    "description": "vLLM’s reference system for K8S-native cluster-wide deployment with community-driven performance optimization",
    "overview": "Use vllm-project/production-stack when the user needs a llm eval project with docker, kubernetes, local deployment options.",
    "alternatives": [
      {
        "repo": "comet-ml/opik",
        "reason": "Similar llm eval with docker/kubernetes deployment overlap."
      },
      {
        "repo": "Arize-ai/phoenix",
        "reason": "Similar llm eval with docker/kubernetes deployment overlap."
      },
      {
        "repo": "confident-ai/deepeval",
        "reason": "Similar llm eval with local/cloud deployment overlap."
      }
    ],
    "related": [],
    "dependencies": [
      "LLM provider"
    ],
    "deployments": [
      "docker",
      "kubernetes",
      "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": [
          "Matched \"benchmark\" in repository content."
        ]
      },
      "deployment": {
        "confidence": "high",
        "evidence": [
          "Matched \"kubernetes\" in repository content.",
          "Matched \"helm chart\" 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": 2490,
      "recent_commits": 20,
      "contributors": 100,
      "issue_response_time_hours": null,
      "release_frequency_180d": 3
    },
    "quality_signal_confidence": {
      "stars_30d_delta": "snapshot",
      "stars30d_window_days": 32,
      "commits_30d": "complete",
      "releases_180d": "complete",
      "contributors_90d": "partial"
    },
    "quality_score": 26,
    "agent_score": 77,
    "score": 87,
    "agent_score_breakdown": {
      "documentation": 90,
      "maintenance": 45,
      "deployment": 90,
      "popularity": 68,
      "community": 100
    },
    "git_top_score": 87,
    "git_top_score_breakdown": {
      "community": 100,
      "maintenance": 52,
      "documentation": 92,
      "stability": 84,
      "adoption": 100,
      "agent_readability": 100
    },
    "summary": {
      "tl_dr": "Use vllm-project/production-stack when the user needs a llm eval project with docker, kubernetes, local deployment options.",
      "purpose": "Use vllm-project/production-stack when the user needs a llm eval project with docker, kubernetes, local deployment options.",
      "install": "Run with Docker using the repository's container instructions.",
      "inputs": [
        "prompts",
        "model outputs",
        "test cases"
      ],
      "outputs": [
        "scores",
        "benchmarks",
        "eval reports"
      ],
      "good_for": [
        "evaluate LLM outputs",
        "benchmark prompts and agents",
        "track model quality",
        "model evaluation",
        "benchmarking",
        "regression testing"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "production inference serving",
        "end-user chat apps"
      ],
      "deployment": [
        "docker",
        "kubernetes",
        "local",
        "cloud"
      ],
      "alternatives": [
        {
          "repo": "comet-ml/opik",
          "reason": "Similar llm eval with docker/kubernetes deployment overlap."
        },
        {
          "repo": "Arize-ai/phoenix",
          "reason": "Similar llm eval with docker/kubernetes deployment overlap."
        },
        {
          "repo": "confident-ai/deepeval",
          "reason": "Similar llm eval with local/cloud deployment overlap."
        }
      ]
    },
    "evidence": {
      "classification": {
        "category": {
          "confidence": "medium",
          "evidence": [
            "Matched \"benchmark\" in repository content."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Matched \"kubernetes\" in repository content.",
            "Matched \"helm chart\" 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": 32,
        "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",
        "Partial or estimated quality signals: contributors90d."
      ],
      "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
      "last_verified_at": "2026-08-04T09:00:29.255Z"
    },
    "caveats": [
      "edge-only Cloudflare Workers deployment without adaptation",
      "Partial or estimated quality signals: 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": "2026-08-04T09:00:29.255Z"
  },
  "related": [
    {
      "project_id": "EricLBuehler/mistral.rs",
      "repo": "EricLBuehler/mistral.rs",
      "name": "mistral.rs",
      "github_url": "https://github.com/EricLBuehler/mistral.rs",
      "homepage_url": null,
      "language": "Rust",
      "license": "MIT",
      "project_kind": "project",
      "category": [
        "llm_eval"
      ],
      "tags": [
        "llm",
        "rust",
        "uqff"
      ],
      "description": "Fast, flexible LLM inference",
      "overview": "Use EricLBuehler/mistral.rs when the user needs a llm eval project with docker, kubernetes, library-only deployment options.",
      "alternatives": [
        {
          "repo": "promptfoo/promptfoo",
          "reason": "Similar llm eval with docker/library_only deployment overlap."
        },
        {
          "repo": "comet-ml/opik",
          "reason": "Similar llm eval with docker/kubernetes deployment overlap."
        },
        {
          "repo": "huggingface/text-embeddings-inference",
          "reason": "Similar llm eval with docker/local deployment 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": "medium",
          "evidence": [
            "Matched \"benchmark\" in repository content."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Found Docker configuration file.",
            "Matched \"kubernetes\" in repository content.",
            "Matched \"pip install\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python, cuda, gpu.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 7560,
        "recent_commits": 18,
        "contributors": 91,
        "issue_response_time_hours": null,
        "release_frequency_180d": 31
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 33,
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 40,
      "agent_score": 85,
      "score": 91,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 62,
        "deployment": 100,
        "popularity": 78,
        "community": 100
      },
      "git_top_score": 91,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 69,
        "documentation": 92,
        "stability": 90,
        "adoption": 100,
        "agent_readability": 100
      },
      "summary": {
        "tl_dr": "Use EricLBuehler/mistral.rs when the user needs a llm eval project with docker, kubernetes, library-only deployment options.",
        "purpose": "Use EricLBuehler/mistral.rs when the user needs a llm eval project with docker, kubernetes, library-only deployment options.",
        "install": "Run with Docker using the repository's container instructions.",
        "inputs": [
          "prompts",
          "model outputs",
          "test cases"
        ],
        "outputs": [
          "scores",
          "benchmarks",
          "eval reports"
        ],
        "good_for": [
          "evaluate LLM outputs",
          "benchmark prompts and agents",
          "track model quality",
          "model evaluation",
          "benchmarking",
          "regression testing"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "production inference serving",
          "end-user chat apps"
        ],
        "deployment": [
          "docker",
          "kubernetes",
          "library_only",
          "local",
          "cloud"
        ],
        "alternatives": [
          {
            "repo": "promptfoo/promptfoo",
            "reason": "Similar llm eval with docker/library_only deployment overlap."
          },
          {
            "repo": "comet-ml/opik",
            "reason": "Similar llm eval with docker/kubernetes deployment overlap."
          },
          {
            "repo": "huggingface/text-embeddings-inference",
            "reason": "Similar llm eval with docker/local deployment overlap."
          }
        ]
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "medium",
            "evidence": [
              "Matched \"benchmark\" in repository content."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Found Docker configuration file.",
              "Matched \"kubernetes\" in repository content.",
              "Matched \"pip install\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "Repository has under 10k stars, so complexity is treated conservatively."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python, cuda, gpu.",
              "No Cloudflare deployment signal detected.",
              "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": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-08-03T04:00:28.423Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "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": "2026-08-03T04:00:28.423Z"
    },
    {
      "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": 151,
        "recent_commits": 34,
        "contributors": 14,
        "issue_response_time_hours": null,
        "release_frequency_180d": 32
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 29,
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 25,
      "agent_score": 68,
      "score": 85,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 47,
        "deployment": 100,
        "popularity": 44,
        "community": 59
      },
      "git_top_score": 85,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 64,
        "documentation": 92,
        "stability": 100,
        "adoption": 60,
        "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": 29,
          "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": "2026-08-02T11:30:23.687Z"
      },
      "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": "2026-08-02T11:30:23.687Z"
    },
    {
      "project_id": "promptfoo/promptfoo",
      "repo": "promptfoo/promptfoo",
      "name": "promptfoo",
      "github_url": "https://github.com/promptfoo/promptfoo",
      "homepage_url": "https://promptfoo.dev",
      "language": "TypeScript",
      "license": "MIT",
      "project_kind": "project",
      "category": [
        "llm_eval"
      ],
      "tags": [
        "ci",
        "ci-cd",
        "cicd",
        "evaluation",
        "evaluation-framework",
        "llm",
        "llm-eval",
        "llm-evaluation",
        "llm-evaluation-framework",
        "llmops",
        "pentesting",
        "prompt-engineering",
        "prompt-testing",
        "prompts",
        "rag",
        "red-teaming",
        "testing",
        "vulnerability-scanners"
      ],
      "description": "Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative configs with command line and CI/CD integration.  Used by OpenAI and Anthropic.",
      "overview": "Use promptfoo/promptfoo when the user needs a llm eval project with docker, library-only, local deployment options.",
      "alternatives": [
        {
          "repo": "comet-ml/opik",
          "reason": "Same llm eval intent with rag overlap."
        },
        {
          "repo": "Giskard-AI/giskard-oss",
          "reason": "Same llm eval intent with rag overlap."
        },
        {
          "repo": "promptfoo/promptfoo-action",
          "reason": "Same llm eval intent with rag overlap."
        }
      ],
      "related": [],
      "dependencies": [
        "Vector database",
        "LLM provider"
      ],
      "deployments": [
        "docker",
        "library_only",
        "local",
        "cloud"
      ],
      "difficulty": "intermediate",
      "cloudflare_ready": false,
      "use_cases": [
        "evaluate LLM outputs",
        "benchmark prompts and agents",
        "track model quality"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "high",
          "evidence": [
            "Matched \"eval\" in metadata.",
            "Matched \"evaluation\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Found Docker configuration file.",
            "Matched \"pip install\" in repository content.",
            "Matched \"npm install\" in repository content.",
            "Matched \"library\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "No strong beginner or advanced signal found; defaulting to intermediate."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 23937,
        "recent_commits": 100,
        "contributors": 100,
        "issue_response_time_hours": null,
        "release_frequency_180d": 31
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 33,
        "commits_30d": "partial",
        "releases_180d": "complete",
        "contributors_90d": "partial"
      },
      "quality_score": 72,
      "agent_score": 88,
      "score": 93,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 76,
        "deployment": 90,
        "popularity": 88,
        "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 promptfoo/promptfoo when the user needs a llm eval project with docker, library-only, local deployment options.",
        "purpose": "Use promptfoo/promptfoo when the user needs a llm eval project with docker, library-only, local deployment options.",
        "install": "Run with Docker using the repository's container instructions.",
        "inputs": [
          "prompts",
          "model outputs",
          "test cases"
        ],
        "outputs": [
          "scores",
          "benchmarks",
          "eval reports"
        ],
        "good_for": [
          "evaluate LLM outputs",
          "benchmark prompts and agents",
          "track model quality",
          "model evaluation",
          "benchmarking",
          "regression testing"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "production inference serving",
          "end-user chat apps"
        ],
        "deployment": [
          "docker",
          "library_only",
          "local",
          "cloud"
        ],
        "alternatives": [
          {
            "repo": "comet-ml/opik",
            "reason": "Same llm eval intent with rag overlap."
          },
          {
            "repo": "Giskard-AI/giskard-oss",
            "reason": "Same llm eval intent with rag overlap."
          },
          {
            "repo": "promptfoo/promptfoo-action",
            "reason": "Same llm eval intent with rag overlap."
          }
        ]
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "high",
            "evidence": [
              "Matched \"eval\" in metadata.",
              "Matched \"evaluation\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Found Docker configuration file.",
              "Matched \"pip install\" in repository content.",
              "Matched \"npm install\" in repository content.",
              "Matched \"library\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "No strong beginner or advanced signal found; defaulting to intermediate."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "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": "partial",
          "releases_180d": "complete",
          "contributors_90d": "partial"
        },
        "source_fields": [
          "project.description",
          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "agent_card.deployment",
          "agent_card.classification",
          "metrics"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "Partial or estimated quality signals: commits30d, contributors90d."
        ],
        "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-08-05T07:30:12.862Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: commits30d, contributors90d."
      ],
      "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "agent_card.deployment",
        "agent_card.classification",
        "metrics"
      ],
      "last_verified_at": "2026-08-05T07:30:12.862Z"
    },
    {
      "project_id": "huggingface/inference-benchmarker",
      "repo": "huggingface/inference-benchmarker",
      "name": "inference-benchmarker",
      "github_url": "https://github.com/huggingface/inference-benchmarker",
      "homepage_url": null,
      "language": "Rust",
      "license": "Apache-2.0",
      "project_kind": "project",
      "category": [
        "llm_eval"
      ],
      "tags": [],
      "description": "Inference server benchmarking tool",
      "overview": "Use huggingface/inference-benchmarker when the user needs a llm eval project with docker, kubernetes, local deployment options.",
      "alternatives": [
        {
          "repo": "EricLBuehler/mistral.rs",
          "reason": "Similar llm eval with docker/kubernetes deployment overlap."
        },
        {
          "repo": "huggingface/text-embeddings-inference",
          "reason": "Similar llm eval with docker/local deployment overlap."
        },
        {
          "repo": "comet-ml/opik",
          "reason": "Similar llm eval with docker/kubernetes deployment overlap."
        }
      ],
      "related": [],
      "dependencies": [
        "LLM provider"
      ],
      "deployments": [
        "docker",
        "kubernetes",
        "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": [
            "Matched \"benchmark\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Found Docker configuration file.",
            "Matched \"kubernetes\" in repository content.",
            "Matched \"helm chart\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python, cuda, gpu.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 166,
        "recent_commits": 0,
        "contributors": 5,
        "issue_response_time_hours": null,
        "release_frequency_180d": 0
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 44,
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 5,
      "agent_score": 55,
      "score": 63,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 7,
        "deployment": 90,
        "popularity": 44,
        "community": 50
      },
      "git_top_score": 63,
      "git_top_score_breakdown": {
        "community": 79,
        "maintenance": 5,
        "documentation": 92,
        "stability": 55,
        "adoption": 64,
        "agent_readability": 100
      },
      "summary": {
        "tl_dr": "Use huggingface/inference-benchmarker when the user needs a llm eval project with docker, kubernetes, local deployment options.",
        "purpose": "Use huggingface/inference-benchmarker when the user needs a llm eval project with docker, kubernetes, local deployment options.",
        "install": "Run with Docker using the repository's container instructions.",
        "inputs": [
          "prompts",
          "model outputs",
          "test cases"
        ],
        "outputs": [
          "scores",
          "benchmarks",
          "eval reports"
        ],
        "good_for": [
          "evaluate LLM outputs",
          "benchmark prompts and agents",
          "track model quality",
          "model evaluation",
          "benchmarking",
          "regression testing"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "production inference serving",
          "end-user chat apps"
        ],
        "deployment": [
          "docker",
          "kubernetes",
          "local",
          "cloud"
        ],
        "alternatives": [
          {
            "repo": "EricLBuehler/mistral.rs",
            "reason": "Similar llm eval with docker/kubernetes deployment overlap."
          },
          {
            "repo": "huggingface/text-embeddings-inference",
            "reason": "Similar llm eval with docker/local deployment overlap."
          },
          {
            "repo": "comet-ml/opik",
            "reason": "Similar llm eval with docker/kubernetes deployment overlap."
          }
        ]
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "medium",
            "evidence": [
              "Matched \"benchmark\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Found Docker configuration file.",
              "Matched \"kubernetes\" in repository content.",
              "Matched \"helm chart\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "Repository has under 10k stars, so complexity is treated conservatively."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python, cuda, gpu.",
              "No Cloudflare deployment signal detected.",
              "No wrangler.toml found in inspected repository files."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 44,
          "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"
        ],
        "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-08-04T11:00:28.804Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation"
      ],
      "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": "2026-08-04T11:00:28.804Z"
    },
    {
      "project_id": "modelscope/evalscope",
      "repo": "modelscope/evalscope",
      "name": "evalscope",
      "github_url": "https://github.com/modelscope/evalscope",
      "homepage_url": "https://evalscope.readthedocs.io/en/latest/",
      "language": "Python",
      "license": "Apache-2.0",
      "project_kind": "project",
      "category": [
        "llm_eval"
      ],
      "tags": [
        "evaluation",
        "llm",
        "performance",
        "rag",
        "vlm"
      ],
      "description": "A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.",
      "overview": "Use modelscope/evalscope when the user needs a llm eval project with docker, library-only, local deployment options.",
      "alternatives": [
        {
          "repo": "promptfoo/promptfoo",
          "reason": "Same llm eval intent with rag overlap."
        },
        {
          "repo": "comet-ml/opik",
          "reason": "Same llm eval intent with rag overlap."
        },
        {
          "repo": "Marker-Inc-Korea/AutoRAG",
          "reason": "Same llm eval intent with rag overlap."
        }
      ],
      "related": [],
      "dependencies": [
        "Vector database",
        "LLM provider"
      ],
      "deployments": [
        "docker",
        "library_only",
        "local",
        "cloud"
      ],
      "difficulty": "beginner",
      "cloudflare_ready": false,
      "use_cases": [
        "evaluate LLM outputs",
        "benchmark prompts and agents",
        "track model quality"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "high",
          "evidence": [
            "Matched \"eval\" in metadata.",
            "Matched \"evaluation\" in metadata.",
            "Matched \"benchmark\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Matched \"pip install\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python, gpu.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 3179,
        "recent_commits": 60,
        "contributors": 82,
        "issue_response_time_hours": null,
        "release_frequency_180d": 11
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 32,
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 43,
      "agent_score": 83,
      "score": 93,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 68,
        "deployment": 90,
        "popularity": 70,
        "community": 100
      },
      "git_top_score": 93,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 78,
        "documentation": 84,
        "stability": 100,
        "adoption": 100,
        "agent_readability": 100
      },
      "summary": {
        "tl_dr": "Use modelscope/evalscope when the user needs a llm eval project with docker, library-only, local deployment options.",
        "purpose": "Use modelscope/evalscope when the user needs a llm eval project with docker, library-only, local deployment options.",
        "install": "Run with Docker using the repository's container instructions.",
        "inputs": [
          "prompts",
          "model outputs",
          "test cases"
        ],
        "outputs": [
          "scores",
          "benchmarks",
          "eval reports"
        ],
        "good_for": [
          "evaluate LLM outputs",
          "benchmark prompts and agents",
          "track model quality",
          "model evaluation",
          "benchmarking",
          "regression testing"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "production inference serving",
          "end-user chat apps"
        ],
        "deployment": [
          "docker",
          "library_only",
          "local",
          "cloud"
        ],
        "alternatives": [
          {
            "repo": "promptfoo/promptfoo",
            "reason": "Same llm eval intent with rag overlap."
          },
          {
            "repo": "comet-ml/opik",
            "reason": "Same llm eval intent with rag overlap."
          },
          {
            "repo": "Marker-Inc-Korea/AutoRAG",
            "reason": "Same llm eval intent with rag 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.",
              "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": 32,
          "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": "2026-08-03T05:00:26.547Z"
      },
      "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": "2026-08-03T05:00:26.547Z"
    },
    {
      "project_id": "langwatch/langwatch",
      "repo": "langwatch/langwatch",
      "name": "langwatch",
      "github_url": "https://github.com/langwatch/langwatch",
      "homepage_url": "https://langwatch.ai",
      "language": "TypeScript",
      "license": "Apache-2.0",
      "project_kind": "project",
      "category": [
        "llm_eval"
      ],
      "tags": [
        "ai",
        "analytics",
        "datasets",
        "dspy",
        "evaluation",
        "gpt",
        "llm",
        "llm-ops",
        "llmops",
        "low-code",
        "observability",
        "openai",
        "prompt-engineering"
      ],
      "description": "The platform for LLM evaluations and AI agent testing",
      "overview": "Use langwatch/langwatch 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",
        "kubernetes",
        "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 \"kubernetes\" 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, postgres.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 3463,
        "recent_commits": 100,
        "contributors": 34,
        "issue_response_time_hours": null,
        "release_frequency_180d": 100
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 43,
        "commits_30d": "partial",
        "releases_180d": "partial",
        "contributors_90d": "complete"
      },
      "quality_score": 39,
      "agent_score": 81,
      "score": 91,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 65,
        "deployment": 100,
        "popularity": 71,
        "community": 79
      },
      "git_top_score": 91,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 76,
        "documentation": 84,
        "stability": 90,
        "adoption": 100,
        "agent_readability": 100
      },
      "summary": {
        "tl_dr": "Use langwatch/langwatch when the user needs a llm eval project with docker, vercel, serverless deployment options.",
        "purpose": "Use langwatch/langwatch 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": "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 \"kubernetes\" 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, postgres.",
              "No Cloudflare deployment signal detected.",
              "No wrangler.toml found in inspected repository files."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 43,
          "commits_30d": "partial",
          "releases_180d": "partial",
          "contributors_90d": "complete"
        },
        "source_fields": [
          "project.description",
          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "agent_card.deployment",
          "agent_card.classification",
          "metrics"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "Partial or estimated quality signals: commits30d, releases180d."
        ],
        "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-08-03T15:00:28.493Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: commits30d, releases180d."
      ],
      "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": "2026-08-03T15:00:28.493Z"
    },
    {
      "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.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 55,
        "recent_commits": 100,
        "contributors": 29,
        "issue_response_time_hours": null,
        "release_frequency_180d": 17
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 44,
        "commits_30d": "partial",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 34,
      "agent_score": 69,
      "score": 85,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 63,
        "deployment": 80,
        "popularity": 35,
        "community": 74
      },
      "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.",
              "No Cloudflare deployment signal detected.",
              "No wrangler.toml found in inspected repository files."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 44,
          "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": "2026-08-04T12:00:30.131Z"
      },
      "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": "2026-08-04T12:00:30.131Z"
    },
    {
      "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": 2265,
        "recent_commits": 100,
        "contributors": 10,
        "issue_response_time_hours": null,
        "release_frequency_180d": 15
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 28,
        "commits_30d": "partial",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 34,
      "agent_score": 70,
      "score": 92,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 57,
        "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": 28,
          "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": "2026-08-04T14:30:14.077Z"
      },
      "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": "2026-08-04T14:30:14.077Z"
    }
  ],
  "resolved_from": {
    "requested_id": "vllm-project/production-stack",
    "resolved_id": "vllm-project/production-stack",
    "resolution": "direct"
  },
  "metadata": {
    "source": "d1",
    "reason": "d1_query",
    "project_count": 1048,
    "generated_at": "2026-08-06T05:17:16.770Z",
    "snapshot_id": "d1:1048:2026-08-06T05:01:08.636Z",
    "latest_synced_at": "2026-08-06T05:01:08.636Z",
    "schema_version": "git-top.knowledge.v1",
    "loaded_project_limit": 2000,
    "truncated": false
  }
}