{
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      {
        "repo": "comet-ml/opik",
        "reason": "Similar llm eval with serverless/library_only deployment overlap."
      },
      {
        "repo": "modelscope/evalscope",
        "reason": "Similar llm eval with library_only/local deployment overlap."
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      {
        "repo": "Giskard-AI/giskard-oss",
        "reason": "Similar llm eval with library_only/local deployment overlap."
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          "Matched \"evaluation\" in repository content.",
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          "Matched \"pip install\" in repository content.",
          "Matched \"npm install\" in repository content.",
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          "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."
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      "stars": 4813,
      "recent_commits": 22,
      "contributors": 18,
      "issue_response_time_hours": null,
      "release_frequency_180d": 2
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      "stars_30d_delta": "snapshot",
      "stars30d_window_days": 39,
      "commits_30d": "complete",
      "releases_180d": "complete",
      "contributors_90d": "complete"
    },
    "quality_score": 15,
    "agent_score": 68,
    "score": 83,
    "agent_score_breakdown": {
      "documentation": 90,
      "maintenance": 28,
      "deployment": 90,
      "popularity": 74,
      "community": 63
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    "git_top_score_breakdown": {
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      "maintenance": 40,
      "documentation": 84,
      "stability": 86,
      "adoption": 100,
      "agent_readability": 100
    },
    "summary": {
      "tl_dr": "Use getzep/zep when the user needs a llm eval project with vercel, serverless, library-only deployment options.",
      "purpose": "Use getzep/zep when the user needs a llm eval project with vercel, serverless, library-only deployment options.",
      "install": "Install as a library or package using the repository instructions.",
      "inputs": [
        "prompts",
        "model outputs",
        "test cases"
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        "scores",
        "benchmarks",
        "eval reports"
      ],
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        "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"
      ],
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        "vercel",
        "serverless",
        "library_only",
        "local"
      ],
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        {
          "repo": "comet-ml/opik",
          "reason": "Similar llm eval with serverless/library_only deployment overlap."
        },
        {
          "repo": "modelscope/evalscope",
          "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 repository content.",
            "Matched \"evaluation\" in repository content.",
            "Matched \"benchmark\" in repository content."
          ]
        },
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          "confidence": "high",
          "evidence": [
            "Matched \"vercel\" in repository content.",
            "Matched \"pip install\" in repository content.",
            "Matched \"npm 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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            "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."
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      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 39,
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
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        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
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      "last_verified_at": "2026-08-06T05:31:02.202Z"
    },
    "caveats": [
      "edge-only Cloudflare Workers deployment without adaptation",
      "users expecting a complete hosted product"
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      "project.topics",
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      "agent_card.classification",
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  "related": [
    {
      "project_id": "langwatch/langwatch",
      "repo": "langwatch/langwatch",
      "name": "langwatch",
      "github_url": "https://github.com/langwatch/langwatch",
      "homepage_url": "https://langwatch.ai",
      "language": "TypeScript",
      "license": "Apache-2.0",
      "project_kind": "project",
      "category": [
        "llm_eval"
      ],
      "tags": [
        "ai",
        "analytics",
        "datasets",
        "dspy",
        "evaluation",
        "gpt",
        "llm",
        "llm-ops",
        "llmops",
        "low-code",
        "observability",
        "openai",
        "prompt-engineering"
      ],
      "description": "The platform for LLM evaluations and AI agent testing",
      "overview": "Use langwatch/langwatch when the user needs a llm eval project with docker, vercel, serverless deployment options.",
      "alternatives": [
        {
          "repo": "promptfoo/promptfoo",
          "reason": "Similar llm eval with docker/library_only deployment overlap."
        },
        {
          "repo": "comet-ml/opik",
          "reason": "Same llm eval intent with observability overlap."
        },
        {
          "repo": "Arize-ai/phoenix",
          "reason": "Same llm eval intent with observability overlap."
        }
      ],
      "related": [],
      "dependencies": [
        "LLM provider"
      ],
      "deployments": [
        "docker",
        "vercel",
        "serverless",
        "kubernetes",
        "library_only",
        "local"
      ],
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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": [
            "Found Docker configuration file.",
            "Matched \"vercel\" in repository content.",
            "Matched \"kubernetes\" in repository content.",
            "Matched \"library\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python, postgres.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 3463,
        "recent_commits": 100,
        "contributors": 34,
        "issue_response_time_hours": null,
        "release_frequency_180d": 100
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 43,
        "commits_30d": "partial",
        "releases_180d": "partial",
        "contributors_90d": "complete"
      },
      "quality_score": 39,
      "agent_score": 81,
      "score": 91,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 65,
        "deployment": 100,
        "popularity": 71,
        "community": 79
      },
      "git_top_score": 91,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 76,
        "documentation": 84,
        "stability": 90,
        "adoption": 100,
        "agent_readability": 100
      },
      "summary": {
        "tl_dr": "Use langwatch/langwatch when the user needs a llm eval project with docker, vercel, serverless deployment options.",
        "purpose": "Use langwatch/langwatch when the user needs a llm eval project with docker, vercel, serverless deployment options.",
        "install": "Run with Docker using the repository's container instructions.",
        "inputs": [
          "prompts",
          "model outputs",
          "test cases"
        ],
        "outputs": [
          "scores",
          "benchmarks",
          "eval reports"
        ],
        "good_for": [
          "evaluate LLM outputs",
          "benchmark prompts and agents",
          "track model quality",
          "model evaluation",
          "benchmarking",
          "regression testing"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "production inference serving",
          "end-user chat apps"
        ],
        "deployment": [
          "docker",
          "vercel",
          "serverless",
          "kubernetes",
          "library_only",
          "local"
        ],
        "alternatives": [
          {
            "repo": "promptfoo/promptfoo",
            "reason": "Similar llm eval with docker/library_only deployment overlap."
          },
          {
            "repo": "comet-ml/opik",
            "reason": "Same llm eval intent with observability overlap."
          },
          {
            "repo": "Arize-ai/phoenix",
            "reason": "Same llm eval intent with observability overlap."
          }
        ]
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "high",
            "evidence": [
              "Matched \"eval\" in metadata.",
              "Matched \"evaluation\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Found Docker configuration file.",
              "Matched \"vercel\" in repository content.",
              "Matched \"kubernetes\" in repository content.",
              "Matched \"library\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "Repository has under 10k stars, so complexity is treated conservatively."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python, postgres.",
              "No Cloudflare deployment signal detected.",
              "No wrangler.toml found in inspected repository files."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 43,
          "commits_30d": "partial",
          "releases_180d": "partial",
          "contributors_90d": "complete"
        },
        "source_fields": [
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          "project.topics",
          "project.language",
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          "agent_card.summary_for_agent",
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          "agent_card.classification",
          "metrics"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "Partial or estimated quality signals: commits30d, releases180d."
        ],
        "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-08-03T15:00:28.493Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: commits30d, releases180d."
      ],
      "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "agent_card.deployment",
        "agent_card.classification",
        "metrics"
      ],
      "last_verified_at": "2026-08-03T15:00:28.493Z"
    },
    {
      "project_id": "Scale3-Labs/langtrace",
      "repo": "Scale3-Labs/langtrace",
      "name": "langtrace",
      "github_url": "https://github.com/Scale3-Labs/langtrace",
      "homepage_url": "https://langtrace.ai",
      "language": "TypeScript",
      "license": "AGPL-3.0",
      "project_kind": "project",
      "category": [
        "llm_eval"
      ],
      "tags": [
        "ai",
        "datasets",
        "evaluations",
        "gpt",
        "langchain",
        "llm",
        "llm-framework",
        "llmops",
        "observability",
        "open-source",
        "open-telemetry",
        "openai",
        "prompt-engineering",
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      "description": "Langtrace 🔍 is an open-source,  Open Telemetry based end-to-end observability tool for LLM applications, providing real-time tracing, evaluations and metrics for popular LLMs, LLM frameworks, vectorDBs and more.. Integrate using Typescript, Python. 🚀💻📊",
      "overview": "Use Scale3-Labs/langtrace when the user needs a llm eval project with docker, vercel, serverless deployment options.",
      "alternatives": [
        {
          "repo": "langwatch/langwatch",
          "reason": "Same llm eval intent with observability overlap."
        },
        {
          "repo": "lmnr-ai/lmnr",
          "reason": "Same llm eval intent with observability overlap."
        },
        {
          "repo": "Helicone/helicone",
          "reason": "Same llm eval intent with observability overlap."
        }
      ],
      "related": [],
      "dependencies": [
        "LLM provider"
      ],
      "deployments": [
        "docker",
        "vercel",
        "serverless",
        "library_only",
        "local"
      ],
      "difficulty": "beginner",
      "cloudflare_ready": false,
      "use_cases": [
        "evaluate LLM outputs",
        "benchmark prompts and agents",
        "track model quality"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "high",
          "evidence": [
            "Matched \"eval\" in metadata.",
            "Matched \"evaluation\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Found Docker configuration file.",
            "Matched \"vercel\" in repository content.",
            "Matched \"pip install\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
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        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python, postgres.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
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      },
      "quality_signals": {
        "stars": 1224,
        "recent_commits": 0,
        "contributors": 20,
        "issue_response_time_hours": null,
        "release_frequency_180d": 0
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      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 31,
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
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      "quality_score": 8,
      "agent_score": 64,
      "score": 70,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 11,
        "deployment": 100,
        "popularity": 62,
        "community": 65
      },
      "git_top_score": 70,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 7,
        "documentation": 84,
        "stability": 55,
        "adoption": 89,
        "agent_readability": 100
      },
      "summary": {
        "tl_dr": "Use Scale3-Labs/langtrace when the user needs a llm eval project with docker, vercel, serverless deployment options.",
        "purpose": "Use Scale3-Labs/langtrace when the user needs a llm eval project with docker, vercel, serverless deployment options.",
        "install": "Run with Docker using the repository's container instructions.",
        "inputs": [
          "prompts",
          "model outputs",
          "test cases"
        ],
        "outputs": [
          "scores",
          "benchmarks",
          "eval reports"
        ],
        "good_for": [
          "evaluate LLM outputs",
          "benchmark prompts and agents",
          "track model quality",
          "model evaluation",
          "benchmarking",
          "regression testing"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "production inference serving",
          "end-user chat apps"
        ],
        "deployment": [
          "docker",
          "vercel",
          "serverless",
          "library_only",
          "local"
        ],
        "alternatives": [
          {
            "repo": "langwatch/langwatch",
            "reason": "Same llm eval intent with observability overlap."
          },
          {
            "repo": "lmnr-ai/lmnr",
            "reason": "Same llm eval intent with observability overlap."
          },
          {
            "repo": "Helicone/helicone",
            "reason": "Same llm eval intent with observability overlap."
          }
        ]
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "high",
            "evidence": [
              "Matched \"eval\" in metadata.",
              "Matched \"evaluation\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Found Docker configuration file.",
              "Matched \"vercel\" in repository content.",
              "Matched \"pip install\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "Repository has under 10k stars, so complexity is treated conservatively."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python, postgres.",
              "No Cloudflare deployment signal detected.",
              "No wrangler.toml found in inspected repository files."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 31,
          "commits_30d": "complete",
          "releases_180d": "complete",
          "contributors_90d": "complete"
        },
        "source_fields": [
          "project.description",
          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "agent_card.deployment",
          "agent_card.classification",
          "metrics"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product"
        ],
        "confidence_reason": "Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.",
        "last_verified_at": "2026-08-02T15:00:15.648Z"
      },
      "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.deployment",
        "agent_card.classification",
        "metrics"
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      "last_verified_at": "2026-08-02T15:00:15.648Z"
    },
    {
      "project_id": "lmnr-ai/lmnr",
      "repo": "lmnr-ai/lmnr",
      "name": "lmnr",
      "github_url": "https://github.com/lmnr-ai/lmnr",
      "homepage_url": "https://laminar.sh",
      "language": "TypeScript",
      "license": "Apache-2.0",
      "project_kind": "project",
      "category": [
        "llm_eval"
      ],
      "tags": [
        "agent-observability",
        "agents",
        "ai",
        "ai-observability",
        "aiops",
        "analytics",
        "developer-tools",
        "evals",
        "evaluation",
        "llm-evaluation",
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        "open-source",
        "rust",
        "rust-lang",
        "self-hosted",
        "ts",
        "typescript"
      ],
      "description": "Laminar - open-source observability platform purpose-built for AI agents. YC S24.",
      "overview": "Use lmnr-ai/lmnr when the user needs a llm eval project with docker, vercel, serverless deployment options.",
      "alternatives": [
        {
          "repo": "promptfoo/promptfoo",
          "reason": "Similar llm eval with docker/library_only deployment overlap."
        },
        {
          "repo": "comet-ml/opik",
          "reason": "Same llm eval intent with observability overlap."
        },
        {
          "repo": "Arize-ai/phoenix",
          "reason": "Same llm eval intent with observability overlap."
        }
      ],
      "related": [],
      "dependencies": [
        "LLM provider"
      ],
      "deployments": [
        "docker",
        "vercel",
        "serverless",
        "library_only",
        "local"
      ],
      "difficulty": "beginner",
      "cloudflare_ready": false,
      "use_cases": [
        "evaluate LLM outputs",
        "benchmark prompts and agents",
        "track model quality"
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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."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Found Docker configuration file.",
            "Matched \"vercel\" in repository content.",
            "Matched \"pip install\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python, postgres.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 3138,
        "recent_commits": 31,
        "contributors": 26,
        "issue_response_time_hours": null,
        "release_frequency_180d": 19
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 32,
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 29,
      "agent_score": 76,
      "score": 89,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 52,
        "deployment": 100,
        "popularity": 70,
        "community": 71
      },
      "git_top_score": 89,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 67,
        "documentation": 84,
        "stability": 90,
        "adoption": 100,
        "agent_readability": 100
      },
      "summary": {
        "tl_dr": "Use lmnr-ai/lmnr when the user needs a llm eval project with docker, vercel, serverless deployment options.",
        "purpose": "Use lmnr-ai/lmnr when the user needs a llm eval project with docker, vercel, serverless deployment options.",
        "install": "Run with Docker using the repository's container instructions.",
        "inputs": [
          "prompts",
          "model outputs",
          "test cases"
        ],
        "outputs": [
          "scores",
          "benchmarks",
          "eval reports"
        ],
        "good_for": [
          "evaluate LLM outputs",
          "benchmark prompts and agents",
          "track model quality",
          "model evaluation",
          "benchmarking",
          "regression testing"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "production inference serving",
          "end-user chat apps"
        ],
        "deployment": [
          "docker",
          "vercel",
          "serverless",
          "library_only",
          "local"
        ],
        "alternatives": [
          {
            "repo": "promptfoo/promptfoo",
            "reason": "Similar llm eval with docker/library_only deployment overlap."
          },
          {
            "repo": "comet-ml/opik",
            "reason": "Same llm eval intent with observability overlap."
          },
          {
            "repo": "Arize-ai/phoenix",
            "reason": "Same llm eval intent with observability overlap."
          }
        ]
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "high",
            "evidence": [
              "Matched \"eval\" in metadata.",
              "Matched \"evaluation\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Found Docker configuration file.",
              "Matched \"vercel\" in repository content.",
              "Matched \"pip install\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "Repository has under 10k stars, so complexity is treated conservatively."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python, postgres.",
              "No Cloudflare deployment signal detected.",
              "No wrangler.toml found in inspected repository files."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 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": "2026-08-03T15:00:26.140Z"
      },
      "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": "2026-08-03T15:00:26.140Z"
    },
    {
      "project_id": "Arize-ai/phoenix",
      "repo": "Arize-ai/phoenix",
      "name": "phoenix",
      "github_url": "https://github.com/Arize-ai/phoenix",
      "homepage_url": "https://arize.com/docs/phoenix",
      "language": "Python",
      "license": "NOASSERTION",
      "project_kind": "project",
      "category": [
        "llm_eval"
      ],
      "tags": [
        "agents",
        "ai-monitoring",
        "ai-observability",
        "aiengineering",
        "anthropic",
        "datasets",
        "evals",
        "langchain",
        "llamaindex",
        "llm-eval",
        "llm-evaluation",
        "llmops",
        "llms",
        "openai",
        "prompt-engineering",
        "smolagents"
      ],
      "description": "AI Observability & Evaluation",
      "overview": "Use Arize-ai/phoenix when the user needs a llm eval project with docker, vercel, serverless deployment options.",
      "alternatives": [
        {
          "repo": "comet-ml/opik",
          "reason": "Same llm eval intent with observability overlap."
        },
        {
          "repo": "truera/trulens",
          "reason": "Same llm eval intent with observability overlap."
        },
        {
          "repo": "raga-ai-hub/RagaAI-Catalyst",
          "reason": "Same llm eval intent with observability overlap."
        }
      ],
      "related": [],
      "dependencies": [
        "LLM provider"
      ],
      "deployments": [
        "docker",
        "vercel",
        "serverless",
        "kubernetes",
        "library_only",
        "local"
      ],
      "difficulty": "advanced",
      "cloudflare_ready": false,
      "use_cases": [
        "evaluate LLM outputs",
        "benchmark prompts and agents",
        "track model quality"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "high",
          "evidence": [
            "Matched \"eval\" in metadata.",
            "Matched \"evaluation\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Found Docker configuration file.",
            "Matched \"vercel\" in repository content.",
            "Matched \"kubernetes\" in repository content.",
            "Matched \"helm chart\" in repository content.",
            "Matched \"pip install\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Found multi-service or orchestration configuration files."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Runtime blocker: python.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 10868,
        "recent_commits": 100,
        "contributors": 100,
        "issue_response_time_hours": null,
        "release_frequency_180d": 100
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 33,
        "commits_30d": "partial",
        "releases_180d": "partial",
        "contributors_90d": "partial"
      },
      "quality_score": 58,
      "agent_score": 89,
      "score": 93,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 76,
        "deployment": 100,
        "popularity": 81,
        "community": 100
      },
      "git_top_score": 93,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 84,
        "documentation": 84,
        "stability": 90,
        "adoption": 100,
        "agent_readability": 100
      },
      "summary": {
        "tl_dr": "Use Arize-ai/phoenix when the user needs a llm eval project with docker, vercel, serverless deployment options.",
        "purpose": "Use Arize-ai/phoenix when the user needs a llm eval project with docker, vercel, serverless deployment options.",
        "install": "Run with Docker using the repository's container instructions.",
        "inputs": [
          "prompts",
          "model outputs",
          "test cases"
        ],
        "outputs": [
          "scores",
          "benchmarks",
          "eval reports"
        ],
        "good_for": [
          "evaluate LLM outputs",
          "benchmark prompts and agents",
          "track model quality",
          "model evaluation",
          "benchmarking",
          "regression testing"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "production inference serving",
          "end-user chat apps"
        ],
        "deployment": [
          "docker",
          "vercel",
          "serverless",
          "kubernetes",
          "library_only",
          "local"
        ],
        "alternatives": [
          {
            "repo": "comet-ml/opik",
            "reason": "Same llm eval intent with observability overlap."
          },
          {
            "repo": "truera/trulens",
            "reason": "Same llm eval intent with observability overlap."
          },
          {
            "repo": "raga-ai-hub/RagaAI-Catalyst",
            "reason": "Same llm eval intent with observability overlap."
          }
        ]
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "high",
            "evidence": [
              "Matched \"eval\" in metadata.",
              "Matched \"evaluation\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Found Docker configuration file.",
              "Matched \"vercel\" in repository content.",
              "Matched \"kubernetes\" in repository content.",
              "Matched \"helm chart\" in repository content.",
              "Matched \"pip install\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "Found multi-service or orchestration configuration files."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Runtime blocker: python.",
              "No Cloudflare deployment signal detected.",
              "No wrangler.toml found in inspected repository files."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 33,
          "commits_30d": "partial",
          "releases_180d": "partial",
          "contributors_90d": "partial"
        },
        "source_fields": [
          "project.description",
          "project.topics",
          "project.language",
          "project.license",
          "agent_card.summary_for_agent",
          "agent_card.use_cases",
          "agent_card.deployment",
          "agent_card.classification",
          "metrics"
        ],
        "caveats": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "users expecting a complete hosted product",
          "Partial or estimated quality signals: commits30d, releases180d, contributors90d."
        ],
        "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-08-03T14:30:24.996Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product",
        "Partial or estimated quality signals: commits30d, releases180d, contributors90d."
      ],
      "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
        "agent_card.use_cases",
        "agent_card.deployment",
        "agent_card.classification",
        "metrics"
      ],
      "last_verified_at": "2026-08-03T14:30:24.996Z"
    },
    {
      "project_id": "vercel/next-evals-oss",
      "repo": "vercel/next-evals-oss",
      "name": "next-evals-oss",
      "github_url": "https://github.com/vercel/next-evals-oss",
      "homepage_url": "https://nextjs.org/evals",
      "language": "TypeScript",
      "license": "MIT",
      "project_kind": "project",
      "category": [
        "llm_eval"
      ],
      "tags": [],
      "description": "Evals for Next.js up to 15.5.6 to test AI model competency at Next.js",
      "overview": "Use vercel/next-evals-oss when the user needs a llm eval project with vercel, serverless, library-only deployment options.",
      "alternatives": [
        {
          "repo": "promptfoo/promptfoo",
          "reason": "Similar llm eval with library_only/local deployment overlap."
        },
        {
          "repo": "langwatch/langwatch",
          "reason": "Similar llm eval with vercel/serverless deployment overlap."
        },
        {
          "repo": "lmnr-ai/lmnr",
          "reason": "Similar llm eval with vercel/serverless deployment overlap."
        }
      ],
      "related": [],
      "dependencies": [
        "LLM provider"
      ],
      "deployments": [
        "vercel",
        "serverless",
        "library_only",
        "local"
      ],
      "difficulty": "beginner",
      "cloudflare_ready": false,
      "use_cases": [
        "evaluate LLM outputs",
        "benchmark prompts and agents",
        "track model quality"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation",
        "users expecting a complete hosted product"
      ],
      "classification": {
        "category": {
          "confidence": "medium",
          "evidence": [
            "Matched \"eval\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Matched \"vercel\" in repository content.",
            "Matched \"npm install\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Repository has under 10k stars, so complexity is treated conservatively."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 303,
        "recent_commits": 5,
        "contributors": 7,
        "issue_response_time_hours": null,
        "release_frequency_180d": 0
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 43,
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 7,
      "agent_score": 58,
      "score": 70,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 14,
        "deployment": 90,
        "popularity": 50,
        "community": 52
      },
      "git_top_score": 70,
      "git_top_score_breakdown": {
        "community": 88,
        "maintenance": 14,
        "documentation": 92,
        "stability": 70,
        "adoption": 71,
        "agent_readability": 100
      },
      "summary": {
        "tl_dr": "Use vercel/next-evals-oss when the user needs a llm eval project with vercel, serverless, library-only deployment options.",
        "purpose": "Use vercel/next-evals-oss when the user needs a llm eval project with vercel, serverless, library-only 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": [
          "vercel",
          "serverless",
          "library_only",
          "local"
        ],
        "alternatives": [
          {
            "repo": "promptfoo/promptfoo",
            "reason": "Similar llm eval with library_only/local deployment overlap."
          },
          {
            "repo": "langwatch/langwatch",
            "reason": "Similar llm eval with vercel/serverless deployment overlap."
          },
          {
            "repo": "lmnr-ai/lmnr",
            "reason": "Similar llm eval with vercel/serverless deployment overlap."
          }
        ]
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "medium",
            "evidence": [
              "Matched \"eval\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Matched \"vercel\" in repository content.",
              "Matched \"npm install\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "Repository has under 10k stars, so complexity is treated conservatively."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "No Cloudflare deployment signal detected.",
              "No wrangler.toml found in inspected repository files."
            ]
          }
        },
        "quality_signal_confidence": {
          "stars_30d_delta": "snapshot",
          "stars30d_window_days": 43,
          "commits_30d": "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": "2026-08-04T00:00:28.082Z"
      },
      "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": "2026-08-04T00:00:28.082Z"
    },
    {
      "project_id": "Helicone/helicone",
      "repo": "Helicone/helicone",
      "name": "helicone",
      "github_url": "https://github.com/Helicone/helicone",
      "homepage_url": "https://www.helicone.ai",
      "language": "TypeScript",
      "license": "Apache-2.0",
      "project_kind": "project",
      "category": [
        "llm_eval"
      ],
      "tags": [
        "agent-monitoring",
        "analytics",
        "evaluation",
        "gpt",
        "langchain",
        "large-language-models",
        "llama-index",
        "llm",
        "llm-cost",
        "llm-evaluation",
        "llm-observability",
        "llmops",
        "monitoring",
        "open-source",
        "openai",
        "playground",
        "prompt-engineering",
        "prompt-management",
        "ycombinator"
      ],
      "description": "🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓",
      "overview": "Use Helicone/helicone when the user needs a llm eval project with docker, cloudflare, serverless deployment options.",
      "alternatives": [
        {
          "repo": "comet-ml/opik",
          "reason": "Same llm eval intent with observability overlap."
        },
        {
          "repo": "langwatch/langwatch",
          "reason": "Same llm eval intent with observability overlap."
        },
        {
          "repo": "lmnr-ai/lmnr",
          "reason": "Same llm eval intent with observability overlap."
        }
      ],
      "related": [],
      "dependencies": [
        "Cloudflare Workers",
        "LLM provider"
      ],
      "deployments": [
        "docker",
        "cloudflare",
        "serverless",
        "vercel",
        "kubernetes",
        "local"
      ],
      "difficulty": "beginner",
      "cloudflare_ready": false,
      "use_cases": [
        "evaluate LLM outputs",
        "benchmark prompts and agents",
        "track model quality"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation"
      ],
      "classification": {
        "category": {
          "confidence": "high",
          "evidence": [
            "Matched \"eval\" in metadata.",
            "Matched \"evaluation\" in metadata."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Found Docker configuration file.",
            "Matched \"cloudflare workers\" in repository content.",
            "Matched \"vercel\" in repository content.",
            "Matched \"helm chart\" in repository content.",
            "Matched \"serverless\" in repository content.",
            "Local usage is assumed for open source repositories unless contradicted."
          ]
        },
        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Cloudflare deployment path suggests a guided serverless setup."
          ]
        },
        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
            "Cloudflare signal: cloudflare workers.",
            "Runtime blocker: python."
          ]
        }
      },
      "quality_signals": {
        "stars": 6031,
        "recent_commits": 1,
        "contributors": 96,
        "issue_response_time_hours": null,
        "release_frequency_180d": 0
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 31,
        "commits_30d": "complete",
        "releases_180d": "complete",
        "contributors_90d": "complete"
      },
      "quality_score": 22,
      "agent_score": 77,
      "score": 76,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 33,
        "deployment": 100,
        "popularity": 76,
        "community": 100
      },
      "git_top_score": 76,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 23,
        "documentation": 84,
        "stability": 60,
        "adoption": 100,
        "agent_readability": 100
      },
      "summary": {
        "tl_dr": "Use Helicone/helicone when the user needs a llm eval project with docker, cloudflare, serverless deployment options.",
        "purpose": "Use Helicone/helicone when the user needs a llm eval project with docker, cloudflare, serverless deployment options.",
        "install": "Deploy on Cloudflare Workers using the repository's deployment instructions.",
        "inputs": [
          "prompts",
          "model outputs",
          "test cases"
        ],
        "outputs": [
          "scores",
          "benchmarks",
          "eval reports"
        ],
        "good_for": [
          "evaluate LLM outputs",
          "benchmark prompts and agents",
          "track model quality",
          "model evaluation",
          "benchmarking",
          "regression testing"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "production inference serving",
          "end-user chat apps"
        ],
        "deployment": [
          "docker",
          "cloudflare",
          "serverless",
          "vercel",
          "kubernetes",
          "local"
        ],
        "alternatives": [
          {
            "repo": "comet-ml/opik",
            "reason": "Same llm eval intent with observability overlap."
          },
          {
            "repo": "langwatch/langwatch",
            "reason": "Same llm eval intent with observability overlap."
          },
          {
            "repo": "lmnr-ai/lmnr",
            "reason": "Same llm eval intent with observability overlap."
          }
        ]
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "high",
            "evidence": [
              "Matched \"eval\" in metadata.",
              "Matched \"evaluation\" in metadata."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Found Docker configuration file.",
              "Matched \"cloudflare workers\" in repository content.",
              "Matched \"vercel\" in repository content.",
              "Matched \"helm chart\" in repository content.",
              "Matched \"serverless\" in repository content.",
              "Local usage is assumed for open source repositories unless contradicted."
            ]
          },
          "difficulty": {
            "confidence": "medium",
            "evidence": [
              "Cloudflare deployment path suggests a guided serverless setup."
            ]
          },
          "cloudflare_ready": {
            "confidence": "high",
            "evidence": [
              "Cloudflare signal: cloudflare workers.",
              "Runtime blocker: python."
            ]
          }
        },
        "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"
        ],
        "confidence_reason": "Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.",
        "last_verified_at": "2026-08-03T15:00:17.389Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation"
      ],
      "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": "2026-08-03T15:00:17.389Z"
    },
    {
      "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": 24023,
        "recent_commits": 100,
        "contributors": 100,
        "issue_response_time_hours": null,
        "release_frequency_180d": 30
      },
      "quality_signal_confidence": {
        "stars_30d_delta": "snapshot",
        "stars30d_window_days": 34,
        "commits_30d": "partial",
        "releases_180d": "complete",
        "contributors_90d": "partial"
      },
      "quality_score": 75,
      "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": 34,
          "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": "2026-08-07T03:21:56.936Z"
      },
      "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",
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        "agent_card.deployment",
        "agent_card.classification",
        "metrics"
      ],
      "last_verified_at": "2026-08-07T03:21:56.936Z"
    },
    {
      "project_id": "huggingface/text-embeddings-inference",
      "repo": "huggingface/text-embeddings-inference",
      "name": "text-embeddings-inference",
      "github_url": "https://github.com/huggingface/text-embeddings-inference",
      "homepage_url": "https://huggingface.co/docs/text-embeddings-inference/quick_tour",
      "language": "Rust",
      "license": "Apache-2.0",
      "project_kind": "project",
      "category": [
        "llm_eval"
      ],
      "tags": [
        "ai",
        "embeddings",
        "huggingface",
        "llm",
        "ml"
      ],
      "description": "A blazing fast inference solution for text embeddings models",
      "overview": "Use huggingface/text-embeddings-inference when the user needs a llm eval project with docker, serverless, local deployment options.",
      "alternatives": [
        {
          "repo": "comet-ml/opik",
          "reason": "Similar llm eval with docker/serverless deployment overlap."
        },
        {
          "repo": "EricLBuehler/mistral.rs",
          "reason": "Similar llm eval with docker/local deployment overlap."
        },
        {
          "repo": "langwatch/langwatch",
          "reason": "Similar llm eval with docker/serverless deployment overlap."
        }
      ],
      "related": [],
      "dependencies": [
        "LLM provider"
      ],
      "deployments": [
        "docker",
        "serverless",
        "local",
        "cloud"
      ],
      "difficulty": "beginner",
      "cloudflare_ready": false,
      "use_cases": [
        "evaluate LLM outputs",
        "benchmark prompts and agents",
        "track model quality"
      ],
      "not_good_for": [
        "edge-only Cloudflare Workers deployment without adaptation"
      ],
      "classification": {
        "category": {
          "confidence": "medium",
          "evidence": [
            "Matched \"benchmark\" in repository content."
          ]
        },
        "deployment": {
          "confidence": "high",
          "evidence": [
            "Found Docker configuration file.",
            "Matched \"serverless\" 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: cuda, gpu.",
            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
          ]
        }
      },
      "quality_signals": {
        "stars": 4971,
        "recent_commits": 7,
        "contributors": 62,
        "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": "complete"
      },
      "quality_score": 23,
      "agent_score": 76,
      "score": 85,
      "agent_score_breakdown": {
        "documentation": 90,
        "maintenance": 37,
        "deployment": 90,
        "popularity": 74,
        "community": 100
      },
      "git_top_score": 85,
      "git_top_score_breakdown": {
        "community": 100,
        "maintenance": 38,
        "documentation": 92,
        "stability": 90,
        "adoption": 100,
        "agent_readability": 100
      },
      "summary": {
        "tl_dr": "Use huggingface/text-embeddings-inference when the user needs a llm eval project with docker, serverless, local deployment options.",
        "purpose": "Use huggingface/text-embeddings-inference when the user needs a llm eval project with docker, serverless, local deployment options.",
        "install": "Run with Docker using the repository's container instructions.",
        "inputs": [
          "prompts",
          "model outputs",
          "test cases"
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        "outputs": [
          "scores",
          "benchmarks",
          "eval reports"
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          "benchmark prompts and agents",
          "track model quality",
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          "benchmarking",
          "regression testing"
        ],
        "not_good_for": [
          "edge-only Cloudflare Workers deployment without adaptation",
          "production inference serving",
          "end-user chat apps"
        ],
        "deployment": [
          "docker",
          "serverless",
          "local",
          "cloud"
        ],
        "alternatives": [
          {
            "repo": "comet-ml/opik",
            "reason": "Similar llm eval with docker/serverless deployment overlap."
          },
          {
            "repo": "EricLBuehler/mistral.rs",
            "reason": "Similar llm eval with docker/local deployment overlap."
          },
          {
            "repo": "langwatch/langwatch",
            "reason": "Similar llm eval with docker/serverless deployment overlap."
          }
        ]
      },
      "evidence": {
        "classification": {
          "category": {
            "confidence": "medium",
            "evidence": [
              "Matched \"benchmark\" in repository content."
            ]
          },
          "deployment": {
            "confidence": "high",
            "evidence": [
              "Found Docker configuration file.",
              "Matched \"serverless\" 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: 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": 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"
        ],
        "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
        "last_verified_at": "2026-08-04T09:00:22.045Z"
      },
      "caveats": [
        "edge-only Cloudflare Workers deployment without adaptation"
      ],
      "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
      "source_fields": [
        "project.description",
        "project.topics",
        "project.language",
        "project.license",
        "agent_card.summary_for_agent",
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        "agent_card.deployment",
        "agent_card.classification",
        "metrics"
      ],
      "last_verified_at": "2026-08-04T09:00:22.045Z"
    }
  ],
  "resolved_from": {
    "requested_id": "getzep/zep",
    "resolved_id": "getzep/zep",
    "resolution": "direct"
  },
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    "source": "d1",
    "reason": "d1_query",
    "project_count": 1057,
    "generated_at": "2026-08-07T05:44:23.505Z",
    "snapshot_id": "d1:1057:2026-08-07T03:21:58.827Z",
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