{
  "project": {
    "project_id": "stanford-crfm/helm",
    "repo": "stanford-crfm/helm",
    "name": "helm",
    "github_url": "https://github.com/stanford-crfm/helm",
    "homepage_url": "https://crfm.stanford.edu/helm",
    "language": "Python",
    "license": "Apache-2.0",
    "project_kind": "project",
    "category": [
      "llm_eval"
    ],
    "tags": [],
    "description": "Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models (CRFM) at Stanford for holistic, reproducible and transparent evaluation of foundation models, including large language models (LLMs) and multimodal models.",
    "overview": "Use stanford-crfm/helm when the user needs a llm eval project with library-only, local, cloud deployment options.",
    "alternatives": [
      {
        "repo": "comet-ml/opik",
        "reason": "Similar llm eval with library_only/local deployment overlap."
      },
      {
        "repo": "Arize-ai/phoenix",
        "reason": "Similar llm eval with library_only/local deployment overlap."
      },
      {
        "repo": "confident-ai/deepeval",
        "reason": "Similar llm eval with library_only/local deployment overlap."
      }
    ],
    "related": [],
    "dependencies": [
      "LLM provider"
    ],
    "deployments": [
      "library_only",
      "local",
      "cloud"
    ],
    "difficulty": "beginner",
    "cloudflare_ready": false,
    "use_cases": [
      "evaluate LLM outputs",
      "benchmark prompts and agents",
      "track model quality"
    ],
    "not_good_for": [
      "edge-only Cloudflare Workers deployment without adaptation",
      "users expecting a complete hosted product"
    ],
    "classification": {
      "category": {
        "confidence": "high",
        "evidence": [
          "Matched \"eval\" in metadata.",
          "Matched \"evaluation\" in metadata."
        ]
      },
      "deployment": {
        "confidence": "high",
        "evidence": [
          "Matched \"pip install\" in repository content.",
          "Local usage is assumed for open source repositories unless contradicted."
        ]
      },
      "difficulty": {
        "confidence": "medium",
        "evidence": [
          "Repository has under 10k stars, so complexity is treated conservatively."
        ]
      },
      "cloudflare_ready": {
        "confidence": "high",
        "evidence": [
          "Runtime blocker: python.",
          "No Cloudflare deployment signal detected.",
          "No wrangler.toml found in inspected repository files."
        ]
      }
    },
    "quality_signals": {
      "stars": 2872,
      "recent_commits": 0,
      "contributors": 100,
      "issue_response_time_hours": null,
      "release_frequency_180d": 4
    },
    "quality_signal_confidence": {
      "stars_30d_delta": "snapshot",
      "stars30d_window_days": 31,
      "commits_30d": "complete",
      "releases_180d": "complete",
      "contributors_90d": "partial"
    },
    "quality_score": 25,
    "agent_score": 75,
    "score": 85,
    "agent_score_breakdown": {
      "documentation": 90,
      "maintenance": 43,
      "deployment": 80,
      "popularity": 69,
      "community": 100
    },
    "git_top_score": 85,
    "git_top_score_breakdown": {
      "community": 100,
      "maintenance": 37,
      "documentation": 84,
      "stability": 100,
      "adoption": 100,
      "agent_readability": 100
    },
    "summary": {
      "tl_dr": "Use stanford-crfm/helm when the user needs a llm eval project with library-only, local, cloud deployment options.",
      "purpose": "Use stanford-crfm/helm 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": "Similar llm eval with library_only/local deployment overlap."
        },
        {
          "repo": "Arize-ai/phoenix",
          "reason": "Similar llm eval with library_only/local deployment overlap."
        },
        {
          "repo": "confident-ai/deepeval",
          "reason": "Similar llm eval with library_only/local deployment overlap."
        }
      ]
    },
    "evidence": {
      "classification": {
        "category": {
          "confidence": "high",
          "evidence": [
            "Matched \"eval\" in metadata.",
            "Matched \"evaluation\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Matched \"pip install\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python.",
            "No Cloudflare deployment signal detected.",
            "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": "partial"
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        "project.topics",
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        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "agent_card.deployment",
        "agent_card.classification",
        "metrics"
      ],
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: contributors90d."
      ],
      "confidence_reason": "Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.",
      "last_verified_at": "2026-08-03T13:00:17.043Z"
    },
    "caveats": [
      "edge-only Cloudflare Workers deployment without adaptation",
      "users expecting a complete hosted product",
      "Partial or estimated quality signals: contributors90d."
    ],
    "confidence_reason": "Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.",
    "source_fields": [
      "project.description",
      "project.topics",
      "project.language",
      "project.license",
      "agent_card.summary_for_agent",
      "agent_card.use_cases",
      "agent_card.deployment",
      "agent_card.classification",
      "metrics"
    ],
    "last_verified_at": "2026-08-03T13:00:17.043Z"
  },
  "related": [
    {
      "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": "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": "Giskard-AI/giskard-oss",
      "repo": "Giskard-AI/giskard-oss",
      "name": "giskard-oss",
      "github_url": "https://github.com/Giskard-AI/giskard-oss",
      "homepage_url": "https://docs.giskard.ai",
      "language": "Python",
      "license": "Apache-2.0",
      "project_kind": "project",
      "category": [
        "llm_eval"
      ],
      "tags": [
        "agent-evaluation",
        "ai-red-team",
        "ai-security",
        "ai-testing",
        "fairness-ai",
        "llm",
        "llm-eval",
        "llm-evaluation",
        "llm-security",
        "llmops",
        "ml-testing",
        "ml-validation",
        "mlops",
        "rag-evaluation",
        "red-team-tools",
        "responsible-ai",
        "trustworthy-ai"
      ],
      "description": "🐢 Open-Source Evaluation & Testing library for LLM Agents",
      "overview": "Use Giskard-AI/giskard-oss when the user needs a llm eval project with library-only, local, cloud deployment options.",
      "alternatives": [
        {
          "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": [
        "library_only",
        "local",
        "cloud"
      ],
      "difficulty": "beginner",
      "cloudflare_ready": false,
      "use_cases": [
        "evaluate LLM outputs",
        "benchmark prompts and agents",
        "track model quality"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "high",
          "evidence": [
            "Matched \"eval\" in metadata.",
            "Matched \"evaluation\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Matched \"pip install\" in repository content.",
            "Matched \"library\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 5729,
        "recent_commits": 32,
        "contributors": 71,
        "issue_response_time_hours": null,
        "release_frequency_180d": 31
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 32,
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 42,
      "agent_score": 81,
      "score": 93,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 64,
        "deployment": 80,
        "popularity": 75,
        "community": 100
      },
      "git_top_score": 93,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 76,
        "documentation": 84,
        "stability": 100,
        "adoption": 100,
        "agent_readability": 100
      },
      "summary": {
        "tl_dr": "Use Giskard-AI/giskard-oss when the user needs a llm eval project with library-only, local, cloud deployment options.",
        "purpose": "Use Giskard-AI/giskard-oss when the user needs a llm eval project with library-only, local, cloud deployment options.",
        "install": "Install as a library or package using the repository instructions.",
        "inputs": [
          "prompts",
          "model outputs",
          "test cases"
        ],
        "outputs": [
          "scores",
          "benchmarks",
          "eval reports"
        ],
        "good_for": [
          "evaluate LLM outputs",
          "benchmark prompts and agents",
          "track model quality",
          "model evaluation",
          "benchmarking",
          "regression testing"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "production inference serving",
          "end-user chat apps"
        ],
        "deployment": [
          "library_only",
          "local",
          "cloud"
        ],
        "alternatives": [
          {
            "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."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Matched \"pip install\" in repository content.",
              "Matched \"library\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "Repository has under 10k stars, so complexity is treated conservatively."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python.",
              "No Cloudflare deployment signal detected.",
              "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": "2026-08-03T12:30:16.254Z"
      },
      "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",
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        "agent_card.classification",
        "metrics"
      ],
      "last_verified_at": "2026-08-03T12:30:16.254Z"
    },
    {
      "project_id": "NVIDIA/garak",
      "repo": "NVIDIA/garak",
      "name": "garak",
      "github_url": "https://github.com/NVIDIA/garak",
      "homepage_url": "https://discord.gg/uVch4puUCs",
      "language": "Python",
      "license": "Apache-2.0",
      "project_kind": "project",
      "category": [
        "llm_eval"
      ],
      "tags": [
        "ai",
        "llm-evaluation",
        "llm-security",
        "security-scanners",
        "vulnerability-assessment"
      ],
      "description": "the LLM vulnerability scanner",
      "overview": "Use NVIDIA/garak when the user needs a llm eval project with library-only, local, cloud deployment options.",
      "alternatives": [
        {
          "repo": "comet-ml/opik",
          "reason": "Similar llm eval with library_only/local deployment overlap."
        },
        {
          "repo": "Arize-ai/phoenix",
          "reason": "Similar llm eval with library_only/local deployment overlap."
        },
        {
          "repo": "Giskard-AI/giskard-oss",
          "reason": "Similar llm eval with library_only/local deployment overlap."
        }
      ],
      "related": [],
      "dependencies": [
        "LLM provider"
      ],
      "deployments": [
        "library_only",
        "local",
        "cloud"
      ],
      "difficulty": "beginner",
      "cloudflare_ready": false,
      "use_cases": [
        "evaluate LLM outputs",
        "benchmark prompts and agents",
        "track model quality"
      ],
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        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "high",
          "evidence": [
            "Matched \"eval\" in metadata.",
            "Matched \"evaluation\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Matched \"pip install\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 8673,
        "recent_commits": 91,
        "contributors": 100,
        "issue_response_time_hours": null,
        "release_frequency_180d": 4
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 31,
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "partial"
      },
      "quality_score": 43,
      "agent_score": 80,
      "score": 89,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 57,
        "deployment": 80,
        "popularity": 79,
        "community": 100
      },
      "git_top_score": 89,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 66,
        "documentation": 84,
        "stability": 90,
        "adoption": 100,
        "agent_readability": 100
      },
      "summary": {
        "tl_dr": "Use NVIDIA/garak when the user needs a llm eval project with library-only, local, cloud deployment options.",
        "purpose": "Use NVIDIA/garak when the user needs a llm eval project with library-only, local, cloud deployment options.",
        "install": "Install as a library or package using the repository instructions.",
        "inputs": [
          "prompts",
          "model outputs",
          "test cases"
        ],
        "outputs": [
          "scores",
          "benchmarks",
          "eval reports"
        ],
        "good_for": [
          "evaluate LLM outputs",
          "benchmark prompts and agents",
          "track model quality",
          "model evaluation",
          "benchmarking",
          "regression testing"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "production inference serving",
          "end-user chat apps"
        ],
        "deployment": [
          "library_only",
          "local",
          "cloud"
        ],
        "alternatives": [
          {
            "repo": "comet-ml/opik",
            "reason": "Similar llm eval with library_only/local deployment overlap."
          },
          {
            "repo": "Arize-ai/phoenix",
            "reason": "Similar llm eval with library_only/local deployment overlap."
          },
          {
            "repo": "Giskard-AI/giskard-oss",
            "reason": "Similar llm eval with library_only/local deployment overlap."
          }
        ]
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "high",
            "evidence": [
              "Matched \"eval\" in metadata.",
              "Matched \"evaluation\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Matched \"pip install\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "Repository has under 10k stars, so complexity is treated conservatively."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python.",
              "No Cloudflare deployment signal detected.",
              "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": "partial"
        },
        "source_fields": [
          "project.description",
          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "agent_card.deployment",
          "agent_card.classification",
          "metrics"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "Partial or estimated quality signals: contributors90d."
        ],
        "confidence_reason": "Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.",
        "last_verified_at": "2026-08-03T13:00:15.119Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: contributors90d."
      ],
      "confidence_reason": "Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
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        "agent_card.classification",
        "metrics"
      ],
      "last_verified_at": "2026-08-03T13:00:15.119Z"
    },
    {
      "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."
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        {
          "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",
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      "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": "truera/trulens",
      "repo": "truera/trulens",
      "name": "trulens",
      "github_url": "https://github.com/truera/trulens",
      "homepage_url": "https://www.trulens.org/",
      "language": "Python",
      "license": "MIT",
      "project_kind": "project",
      "category": [
        "llm_eval"
      ],
      "tags": [
        "agent-evaluation",
        "agentops",
        "ai-agents",
        "ai-monitoring",
        "ai-observability",
        "evals",
        "explainable-ml",
        "llm-eval",
        "llm-evaluation",
        "llmops",
        "llms",
        "machine-learning",
        "neural-networks"
      ],
      "description": "Evaluation and Tracking for LLM Experiments and AI Agents",
      "overview": "Use truera/trulens when the user needs a llm eval project with library-only, local, cloud deployment options.",
      "alternatives": [
        {
          "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": [
        "library_only",
        "local",
        "cloud"
      ],
      "difficulty": "beginner",
      "cloudflare_ready": false,
      "use_cases": [
        "evaluate LLM outputs",
        "benchmark prompts and agents",
        "track model quality"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "high",
          "evidence": [
            "Matched \"eval\" in metadata.",
            "Matched \"evaluation\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Matched \"pip install\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 3481,
        "recent_commits": 41,
        "contributors": 92,
        "issue_response_time_hours": null,
        "release_frequency_180d": 8
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 31,
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 35,
      "agent_score": 79,
      "score": 92,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 58,
        "deployment": 80,
        "popularity": 71,
        "community": 100
      },
      "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 truera/trulens when the user needs a llm eval project with library-only, local, cloud deployment options.",
        "purpose": "Use truera/trulens when the user needs a llm eval project with library-only, local, cloud deployment options.",
        "install": "Install as a library or package using the repository instructions.",
        "inputs": [
          "prompts",
          "model outputs",
          "test cases"
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        "outputs": [
          "scores",
          "benchmarks",
          "eval reports"
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        "good_for": [
          "evaluate LLM outputs",
          "benchmark prompts and agents",
          "track model quality",
          "model evaluation",
          "benchmarking",
          "regression testing"
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        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "production inference serving",
          "end-user chat apps"
        ],
        "deployment": [
          "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": [
              "Matched \"pip install\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "Repository has under 10k stars, so complexity is treated conservatively."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python.",
              "No Cloudflare deployment signal detected.",
              "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": "2026-08-03T12:30:24.331Z"
      },
      "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",
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        "metrics"
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    },
    {
      "project_id": "UKGovernmentBEIS/inspect_ai",
      "repo": "UKGovernmentBEIS/inspect_ai",
      "name": "inspect_ai",
      "github_url": "https://github.com/UKGovernmentBEIS/inspect_ai",
      "homepage_url": "https://inspect.aisi.org.uk/",
      "language": "Python",
      "license": "MIT",
      "project_kind": "project",
      "category": [
        "llm_eval"
      ],
      "tags": [],
      "description": "Inspect: A framework for large language model evaluations",
      "overview": "Use UKGovernmentBEIS/inspect_ai 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": "Arize-ai/phoenix",
          "reason": "Similar llm eval with docker/library_only deployment overlap."
        },
        {
          "repo": "confident-ai/deepeval",
          "reason": "Similar llm eval with library_only/local deployment overlap."
        }
      ],
      "related": [],
      "dependencies": [
        "LLM provider"
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        "cloud"
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        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
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        "category": {
          "confidence": "high",
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        },
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          "confidence": "high",
          "evidence": [
            "Matched \"pip install\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
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          "confidence": "medium",
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            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
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            "Runtime blocker: python.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 2456,
        "recent_commits": 100,
        "contributors": 100,
        "issue_response_time_hours": null,
        "release_frequency_180d": 0
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      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 32,
        "commits_30d": "partial",
        "releases_180d": "complete",
        "contributors_90d": "partial"
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      "quality_score": 33,
      "agent_score": 78,
      "score": 83,
      "agent_score_breakdown": {
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        "maintenance": 51,
        "deployment": 90,
        "popularity": 68,
        "community": 100
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      "git_top_score": 83,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 55,
        "documentation": 92,
        "stability": 60,
        "adoption": 100,
        "agent_readability": 100
      },
      "summary": {
        "tl_dr": "Use UKGovernmentBEIS/inspect_ai when the user needs a llm eval project with docker, library-only, local deployment options.",
        "purpose": "Use UKGovernmentBEIS/inspect_ai 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.",
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          "model outputs",
          "test cases"
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          "scores",
          "benchmarks",
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          "benchmark prompts and agents",
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          "benchmarking",
          "regression testing"
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          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "production inference serving",
          "end-user chat apps"
        ],
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          "docker",
          "library_only",
          "local",
          "cloud"
        ],
        "alternatives": [
          {
            "repo": "comet-ml/opik",
            "reason": "Similar llm eval with docker/library_only deployment overlap."
          },
          {
            "repo": "Arize-ai/phoenix",
            "reason": "Similar llm eval with docker/library_only deployment overlap."
          },
          {
            "repo": "confident-ai/deepeval",
            "reason": "Similar llm eval with library_only/local deployment overlap."
          }
        ]
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "high",
            "evidence": [
              "Matched \"eval\" in metadata.",
              "Matched \"evaluation\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Matched \"pip install\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
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            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python.",
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              "No wrangler.toml found in inspected repository files."
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        "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
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      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
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      "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
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    {
      "project_id": "ShenSeanChen/waku-agent",
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      "github_url": "https://github.com/ShenSeanChen/waku-agent",
      "homepage_url": "seanchen.io",
      "language": "Python",
      "license": "MIT",
      "project_kind": "project",
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        "ai-agent",
        "ai-assistant",
        "claude",
        "evals",
        "llm",
        "llmops",
        "local-first",
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      "description": "Waku Waku! Waku agent is your personal AI agent, on your own laptop, in code you can read in an afternoon — harness + loop + memory + eval",
      "overview": "Use ShenSeanChen/waku-agent when the user needs a llm eval project with library-only, local, cloud deployment options.",
      "alternatives": [
        {
          "repo": "comet-ml/opik",
          "reason": "Similar llm eval with library_only/local deployment overlap."
        },
        {
          "repo": "Arize-ai/phoenix",
          "reason": "Similar llm eval with library_only/local deployment overlap."
        },
        {
          "repo": "Giskard-AI/giskard-oss",
          "reason": "Similar llm eval with library_only/local deployment overlap."
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      "dependencies": [
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        "deployment": {
          "confidence": "high",
          "evidence": [
            "Matched \"pip install\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
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        },
        "difficulty": {
          "confidence": "medium",
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          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 799,
        "recent_commits": 100,
        "contributors": 13,
        "issue_response_time_hours": null,
        "release_frequency_180d": 2
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      "quality_signal_confidence": {
        "stars_30d_delta": "estimated",
        "commits_30d": "partial",
        "releases_180d": "complete",
        "contributors_90d": "complete"
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      "agent_score": 65,
      "score": 83,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 38,
        "deployment": 80,
        "popularity": 58,
        "community": 58
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        "maintenance": 50,
        "documentation": 84,
        "stability": 86,
        "adoption": 86,
        "agent_readability": 100
      },
      "summary": {
        "tl_dr": "Use ShenSeanChen/waku-agent when the user needs a llm eval project with library-only, local, cloud deployment options.",
        "purpose": "Use ShenSeanChen/waku-agent when the user needs a llm eval project with library-only, local, cloud deployment options.",
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          "model outputs",
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          "users expecting a complete hosted product",
          "production inference serving",
          "end-user chat apps"
        ],
        "deployment": [
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          "local",
          "cloud"
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            "repo": "comet-ml/opik",
            "reason": "Similar llm eval with library_only/local deployment overlap."
          },
          {
            "repo": "Arize-ai/phoenix",
            "reason": "Similar llm eval with library_only/local deployment overlap."
          },
          {
            "repo": "Giskard-AI/giskard-oss",
            "reason": "Similar llm eval with library_only/local deployment overlap."
          }
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        "classification": {
          "category": {
            "confidence": "medium",
            "evidence": [
              "Matched \"eval\" in metadata."
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          },
          "deployment": {
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            "evidence": [
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            "evidence": [
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          "cloudflare_ready": {
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            "evidence": [
              "Runtime blocker: python.",
              "No Cloudflare deployment signal detected.",
              "No wrangler.toml found in inspected repository files."
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          "commits_30d": "partial",
          "releases_180d": "complete",
          "contributors_90d": "complete"
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        "last_verified_at": "2026-08-03T10:00:14.307Z"
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      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "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.",
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