{
  "project": {
    "project_id": "meshkovQA/Eval-ai-library",
    "repo": "meshkovQA/Eval-ai-library",
    "name": "Eval-ai-library",
    "github_url": "https://github.com/meshkovQA/Eval-ai-library",
    "homepage_url": null,
    "language": "Python",
    "license": "Apache-2.0",
    "project_kind": "project",
    "category": [
      "llm_eval"
    ],
    "tags": [
      "ai-evaluation",
      "ai-evaluation-framework",
      "ai-evaluation-metrics",
      "ai-evaluation-tools",
      "aieval",
      "llm-evaluation"
    ],
    "description": "Comprehensive AI Model Evaluation Framework with advanced techniques including Temperature-Controlled Verdict Aggregation via Generalized Power Mean. Support for multiple LLM providers and 15+ evaluation metrics for RAG systems and AI agents.",
    "overview": "Use meshkovQA/Eval-ai-library when the user needs a llm eval project with library-only, local, cloud deployment options.",
    "alternatives": [],
    "related": [],
    "dependencies": [
      "Vector database",
      "LLM provider"
    ],
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      "library_only",
      "local",
      "cloud"
    ],
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    "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": 57,
      "recent_commits": 2,
      "contributors": 2,
      "issue_response_time_hours": null,
      "release_frequency_180d": 0
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    "quality_signal_confidence": {
      "stars_30d_delta": "estimated",
      "commits_30d": "complete",
      "releases_180d": "complete",
      "contributors_90d": "complete"
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    "quality_score": 5,
    "agent_score": 52,
    "score": 58,
    "agent_score_breakdown": {
      "documentation": 90,
      "maintenance": 9,
      "deployment": 80,
      "popularity": 35,
      "community": 47
    },
    "git_top_score": 58,
    "git_top_score_breakdown": {
      "community": 66,
      "maintenance": 8,
      "documentation": 84,
      "stability": 70,
      "adoption": 43,
      "agent_readability": 90
    },
    "summary": {
      "tl_dr": "Use meshkovQA/Eval-ai-library when the user needs a llm eval project with library-only, local, cloud deployment options.",
      "purpose": "Use meshkovQA/Eval-ai-library 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"
      ],
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        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "production inference serving",
        "end-user chat apps"
      ],
      "deployment": [
        "library_only",
        "local",
        "cloud"
      ],
      "alternatives": []
    },
    "evidence": {
      "classification": {
        "category": {
          "confidence": "high",
          "evidence": [
            "Matched \"eval\" in metadata.",
            "Matched \"evaluation\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Matched \"pip install\" in repository content.",
            "Matched \"library\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "estimated",
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "agent_card.deployment",
        "agent_card.classification",
        "metrics"
      ],
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: stars30dDelta."
      ],
      "confidence_reason": "Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.",
      "last_verified_at": "2026-07-29T18:00:24.394Z"
    },
    "caveats": [
      "edge-only Cloudflare Workers deployment without adaptation",
      "users expecting a complete hosted product",
      "Partial or estimated quality signals: stars30dDelta."
    ],
    "confidence_reason": "Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.",
    "source_fields": [
      "project.description",
      "project.topics",
      "project.language",
      "project.license",
      "agent_card.summary_for_agent",
      "agent_card.use_cases",
      "agent_card.deployment",
      "agent_card.classification",
      "metrics"
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  },
  "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": 23715,
        "recent_commits": 100,
        "contributors": 100,
        "issue_response_time_hours": null,
        "release_frequency_180d": 31
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 38,
        "commits_30d": "partial",
        "releases_180d": "complete",
        "contributors_90d": "partial"
      },
      "quality_score": 79,
      "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": 38,
          "commits_30d": "partial",
          "releases_180d": "complete",
          "contributors_90d": "partial"
        },
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          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "agent_card.deployment",
          "agent_card.classification",
          "metrics"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "Partial or estimated quality signals: commits30d, contributors90d."
        ],
        "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-07-29T08:01:06.198Z"
      },
      "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": "2026-07-29T08:01:06.198Z"
    },
    {
      "project_id": "comet-ml/opik",
      "repo": "comet-ml/opik",
      "name": "opik",
      "github_url": "https://github.com/comet-ml/opik",
      "homepage_url": "https://www.comet.com/docs/opik/",
      "language": "Python",
      "license": "Apache-2.0",
      "project_kind": "project",
      "category": [
        "llm_eval"
      ],
      "tags": [
        "evaluation",
        "hacktoberfest",
        "hacktoberfest2025",
        "langchain",
        "llama-index",
        "llm",
        "llm-evaluation",
        "llm-observability",
        "llmops",
        "open-source",
        "openai",
        "playground",
        "prompt-engineering"
      ],
      "description": "Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.",
      "overview": "Use comet-ml/opik when the user needs a llm eval project with docker, kubernetes, library-only deployment options.",
      "alternatives": [
        {
          "repo": "Giskard-AI/giskard-oss",
          "reason": "Same llm eval intent with rag overlap."
        },
        {
          "repo": "vibrantlabsai/ragas",
          "reason": "Same llm eval intent with rag overlap."
        },
        {
          "repo": "Marker-Inc-Korea/AutoRAG",
          "reason": "Same llm eval intent with rag, workflow overlap."
        }
      ],
      "related": [],
      "dependencies": [
        "Vector database",
        "LLM provider"
      ],
      "deployments": [
        "docker",
        "kubernetes",
        "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": [
            "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": [
            "No strong beginner or advanced signal found; defaulting to intermediate."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 20954,
        "recent_commits": 100,
        "contributors": 100,
        "issue_response_time_hours": null,
        "release_frequency_180d": 90
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      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 38,
        "commits_30d": "partial",
        "releases_180d": "complete",
        "contributors_90d": "partial"
      },
      "quality_score": 77,
      "agent_score": 90,
      "score": 93,
      "agent_score_breakdown": {
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        "maintenance": 76,
        "deployment": 100,
        "popularity": 86,
        "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 comet-ml/opik when the user needs a llm eval project with docker, kubernetes, library-only deployment options.",
        "purpose": "Use comet-ml/opik 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": "Giskard-AI/giskard-oss",
            "reason": "Same llm eval intent with rag overlap."
          },
          {
            "repo": "vibrantlabsai/ragas",
            "reason": "Same llm eval intent with rag overlap."
          },
          {
            "repo": "Marker-Inc-Korea/AutoRAG",
            "reason": "Same llm eval intent with rag, workflow overlap."
          }
        ]
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "high",
            "evidence": [
              "Matched \"eval\" in metadata.",
              "Matched \"evaluation\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "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": [
              "No strong beginner or advanced signal found; defaulting to intermediate."
            ]
          },
          "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": 38,
          "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": "2026-07-29T08:01:04.670Z"
      },
      "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": "2026-07-29T08:01:04.670Z"
    },
    {
      "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": 5709,
        "recent_commits": 37,
        "contributors": 70,
        "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": 43,
      "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": 33,
          "commits_30d": "complete",
          "releases_180d": "complete",
          "contributors_90d": "complete"
        },
        "source_fields": [
          "project.description",
          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "agent_card.deployment",
          "agent_card.classification",
          "metrics"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product"
        ],
        "confidence_reason": "Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.",
        "last_verified_at": "2026-07-25T02:31:05.988Z"
      },
      "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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        "agent_card.classification",
        "metrics"
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      "last_verified_at": "2026-07-25T02:31:05.988Z"
    },
    {
      "project_id": "Marker-Inc-Korea/AutoRAG",
      "repo": "Marker-Inc-Korea/AutoRAG",
      "name": "AutoRAG",
      "github_url": "https://github.com/Marker-Inc-Korea/AutoRAG",
      "homepage_url": "https://marker-inc-korea.github.io/AutoRAG/",
      "language": "TypeScript",
      "license": "NOASSERTION",
      "project_kind": "project",
      "category": [
        "llm_eval"
      ],
      "tags": [
        "analysis",
        "automl",
        "benchmarking",
        "document-parser",
        "embeddings",
        "evaluation",
        "llm",
        "llm-evaluation",
        "llm-ops",
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        "ops",
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        "pipeline",
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        "rag-evaluation",
        "retrieval-augmented-generation"
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      "description": "AutoRAG: Now your agent can find anything in your computer. It gets smarter if you are using it frequently.",
      "overview": "Use Marker-Inc-Korea/AutoRAG 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, workflow overlap."
        },
        {
          "repo": "Giskard-AI/giskard-oss",
          "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"
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      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "high",
          "evidence": [
            "Matched \"eval\" in metadata.",
            "Matched \"evaluation\" in metadata.",
            "Matched \"benchmark\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Matched \"pip install\" in repository content.",
            "Matched \"library\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python, filesystem.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 4957,
        "recent_commits": 44,
        "contributors": 27,
        "issue_response_time_hours": null,
        "release_frequency_180d": 5
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 27,
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 23,
      "agent_score": 70,
      "score": 87,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 40,
        "deployment": 80,
        "popularity": 74,
        "community": 72
      },
      "git_top_score": 87,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 57,
        "documentation": 84,
        "stability": 90,
        "adoption": 100,
        "agent_readability": 100
      },
      "summary": {
        "tl_dr": "Use Marker-Inc-Korea/AutoRAG when the user needs a llm eval project with library-only, local, cloud deployment options.",
        "purpose": "Use Marker-Inc-Korea/AutoRAG 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, workflow overlap."
          },
          {
            "repo": "Giskard-AI/giskard-oss",
            "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.",
              "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, filesystem.",
              "No Cloudflare deployment signal detected.",
              "No wrangler.toml found in inspected repository files."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 27,
          "commits_30d": "complete",
          "releases_180d": "complete",
          "contributors_90d": "complete"
        },
        "source_fields": [
          "project.description",
          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "agent_card.deployment",
          "agent_card.classification",
          "metrics"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product"
        ],
        "confidence_reason": "Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.",
        "last_verified_at": "2026-07-28T17:31:02.795Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "confidence_reason": "Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "agent_card.deployment",
        "agent_card.classification",
        "metrics"
      ],
      "last_verified_at": "2026-07-28T17:31:02.795Z"
    },
    {
      "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": 3151,
        "recent_commits": 66,
        "contributors": 81,
        "issue_response_time_hours": null,
        "release_frequency_180d": 11
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 25,
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 43,
      "agent_score": 83,
      "score": 93,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 69,
        "deployment": 90,
        "popularity": 70,
        "community": 100
      },
      "git_top_score": 93,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 79,
        "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": 25,
          "commits_30d": "complete",
          "releases_180d": "complete",
          "contributors_90d": "complete"
        },
        "source_fields": [
          "project.description",
          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "agent_card.deployment",
          "agent_card.classification",
          "metrics"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product"
        ],
        "confidence_reason": "Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.",
        "last_verified_at": "2026-07-27T10:31:12.180Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "confidence_reason": "Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "agent_card.deployment",
        "agent_card.classification",
        "metrics"
      ],
      "last_verified_at": "2026-07-27T10:31:12.180Z"
    },
    {
      "project_id": "confident-ai/deepeval",
      "repo": "confident-ai/deepeval",
      "name": "deepeval",
      "github_url": "https://github.com/confident-ai/deepeval",
      "homepage_url": "https://deepeval.com",
      "language": "Python",
      "license": "Apache-2.0",
      "project_kind": "project",
      "category": [
        "llm_eval"
      ],
      "tags": [
        "evaluation-framework",
        "evaluation-metrics",
        "llm-evaluation",
        "llm-evaluation-framework",
        "llm-evaluation-metrics",
        "python"
      ],
      "description": "The LLM Evaluation Framework",
      "overview": "Use confident-ai/deepeval when the user needs a llm eval project with library-only, local, cloud deployment options.",
      "alternatives": [
        {
          "repo": "promptfoo/promptfoo",
          "reason": "Similar llm eval with library_only/local deployment overlap."
        },
        {
          "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."
        }
      ],
      "related": [],
      "dependencies": [
        "LLM provider"
      ],
      "deployments": [
        "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": [
            "Matched \"pip install\" 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": [
            "Runtime blocker: python.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 17101,
        "recent_commits": 100,
        "contributors": 100,
        "issue_response_time_hours": null,
        "release_frequency_180d": 4
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 33,
        "commits_30d": "partial",
        "releases_180d": "complete",
        "contributors_90d": "partial"
      },
      "quality_score": 54,
      "agent_score": 81,
      "score": 89,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 59,
        "deployment": 80,
        "popularity": 85,
        "community": 100
      },
      "git_top_score": 89,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 68,
        "documentation": 84,
        "stability": 90,
        "adoption": 100,
        "agent_readability": 100
      },
      "summary": {
        "tl_dr": "Use confident-ai/deepeval when the user needs a llm eval project with library-only, local, cloud deployment options.",
        "purpose": "Use confident-ai/deepeval 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": "Similar llm eval with library_only/local deployment overlap."
          },
          {
            "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."
          }
        ]
      },
      "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": [
              "No strong beginner or advanced signal found; defaulting to intermediate."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python.",
              "No Cloudflare deployment signal detected.",
              "No wrangler.toml found in inspected repository files."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 33,
          "commits_30d": "partial",
          "releases_180d": "complete",
          "contributors_90d": "partial"
        },
        "source_fields": [
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          "project.license",
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          "agent_card.classification",
          "metrics"
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        "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": "2026-07-25T02:00:59.333Z"
      },
      "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.",
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        "agent_card.classification",
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      "last_verified_at": "2026-07-25T02:00:59.333Z"
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    {
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        {
          "repo": "promptfoo/promptfoo",
          "reason": "Same llm eval intent with rag overlap."
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        {
          "repo": "comet-ml/opik",
          "reason": "Same llm eval intent with rag overlap."
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        {
          "repo": "Giskard-AI/giskard-oss",
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          "confidence": "medium",
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            "No strong beginner or advanced signal found; defaulting to intermediate."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
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      },
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        "recent_commits": 0,
        "contributors": 100,
        "issue_response_time_hours": null,
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        "stars30d_window_days": 34,
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      "score": 72,
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        "documentation": 90,
        "maintenance": 26,
        "deployment": 90,
        "popularity": 84,
        "community": 100
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      "git_top_score": 72,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 18,
        "documentation": 84,
        "stability": 45,
        "adoption": 100,
        "agent_readability": 100
      },
      "summary": {
        "tl_dr": "Use vibrantlabsai/ragas when the user needs a llm eval project with docker, library-only, local deployment options.",
        "purpose": "Use vibrantlabsai/ragas when the user needs a llm eval project with docker, library-only, local deployment options.",
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          "model outputs",
          "test cases"
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          "benchmark prompts and agents",
          "track model quality",
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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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          "cloud"
        ],
        "alternatives": [
          {
            "repo": "promptfoo/promptfoo",
            "reason": "Same llm eval intent with rag overlap."
          },
          {
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          },
          {
            "repo": "Giskard-AI/giskard-oss",
            "reason": "Same llm eval intent with rag overlap."
          }
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              "Matched \"eval\" in metadata.",
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            ]
          },
          "deployment": {
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              "No strong beginner or advanced signal found; defaulting to intermediate."
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          "cloudflare_ready": {
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              "No wrangler.toml found in inspected repository files."
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        ],
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        "last_verified_at": "2026-07-25T06:01:05.933Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
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      ],
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      "name": "Eval",
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      "license": "MIT",
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        "evaluation",
        "llm"
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      "description": "High-performance LLM evaluation framework with parallel API calls — up to 17× faster than sequential tools. Supports box, math, and logit-based evaluation.",
      "overview": "Use ai-twinkle/Eval when the user needs a llm eval project with docker, library-only, local deployment options.",
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        {
          "repo": "comet-ml/opik",
          "reason": "Similar llm eval with docker/library_only deployment overlap."
        },
        {
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          "reason": "Similar llm eval with docker/library_only deployment overlap."
        },
        {
          "repo": "agentevals-dev/agentevals",
          "reason": "Similar llm eval with docker/library_only deployment overlap."
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      "related": [],
      "dependencies": [
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      ],
      "deployments": [
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        "library_only",
        "local",
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        "deployment": {
          "confidence": "high",
          "evidence": [
            "Found Docker configuration file.",
            "Matched \"pip install\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
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          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python, gpu.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
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      "quality_signals": {
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        "recent_commits": 0,
        "contributors": 6,
        "issue_response_time_hours": null,
        "release_frequency_180d": 17
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      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 17,
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
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      "quality_score": 20,
      "agent_score": 61,
      "score": 72,
      "agent_score_breakdown": {
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        "maintenance": 33,
        "deployment": 90,
        "popularity": 40,
        "community": 51
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        "maintenance": 34,
        "documentation": 84,
        "stability": 85,
        "adoption": 56,
        "agent_readability": 100
      },
      "summary": {
        "tl_dr": "Use ai-twinkle/Eval when the user needs a llm eval project with docker, library-only, local deployment options.",
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          "end-user chat apps"
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        "deployment": [
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          "library_only",
          "local",
          "cloud"
        ],
        "alternatives": [
          {
            "repo": "comet-ml/opik",
            "reason": "Similar llm eval with docker/library_only deployment overlap."
          },
          {
            "repo": "modelscope/evalscope",
            "reason": "Similar llm eval with docker/library_only deployment overlap."
          },
          {
            "repo": "agentevals-dev/agentevals",
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          "category": {
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            "evidence": [
              "Matched \"eval\" in metadata.",
              "Matched \"evaluation\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Found Docker configuration file.",
              "Matched \"pip install\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
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            "confidence": "medium",
            "evidence": [
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          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python, gpu.",
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          "stars30d_window_days": 17,
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