{
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  "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": [
    {
      "repo": "Helicone/helicone",
      "reason": "Related to comet-ml/opik through llm eval category and docker deployment."
    },
    {
      "repo": "promptfoo/promptfoo",
      "reason": "Related to comet-ml/opik through llm eval category and docker deployment."
    },
    {
      "repo": "langwatch/langwatch",
      "reason": "Related to comet-ml/opik through llm eval category and docker deployment."
    },
    {
      "repo": "Arize-ai/phoenix",
      "reason": "Related to comet-ml/opik through llm eval category and docker deployment."
    },
    {
      "repo": "langfuse/langfuse",
      "reason": "Related to comet-ml/opik through shared LLM provider dependency context."
    },
    {
      "repo": "Scale3-Labs/langtrace",
      "reason": "Related to comet-ml/opik through llm eval category and docker deployment."
    },
    {
      "repo": "lmnr-ai/lmnr",
      "reason": "Related to comet-ml/opik through llm eval category and docker deployment."
    },
    {
      "repo": "modelscope/evalscope",
      "reason": "Related to comet-ml/opik through llm eval category and docker deployment."
    }
  ],
  "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": 21418,
    "recent_commits": 100,
    "contributors": 100,
    "issue_response_time_hours": null,
    "release_frequency_180d": 90
  },
  "quality_signal_confidence": {
    "stars_30d_delta": "snapshot",
    "stars30d_window_days": 31,
    "commits_30d": "partial",
    "releases_180d": "complete",
    "contributors_90d": "partial"
  },
  "quality_score": 65,
  "agent_score": 90,
  "score": 93,
  "agent_score_breakdown": {
    "documentation": 90,
    "maintenance": 76,
    "deployment": 100,
    "popularity": 87,
    "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"
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    "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": 31,
      "commits_30d": "partial",
      "releases_180d": "complete",
      "contributors_90d": "partial"
    },
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      "agent_card.use_cases",
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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": "2026-08-17T00:30:35.278Z"
  },
  "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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    "project.topics",
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    "project.license",
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  "last_verified_at": "2026-08-17T00:30:35.278Z",
  "knowledge": {
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      "github_url": "https://github.com/comet-ml/opik",
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      "description": "Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.",
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        "llm-evaluation",
        "llm-observability",
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      "forks": 1710,
      "open_issues": 198,
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      "alternatives": [
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          "project_id": "Giskard-AI/giskard-oss",
          "reason": "Same llm eval intent with rag overlap."
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        {
          "project_id": "vibrantlabsai/ragas",
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          "project_id": "Marker-Inc-Korea/AutoRAG",
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      "classification": {
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            "Matched \"helm chart\" in repository content.",
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            "Local usage is assumed for open source repositories unless contradicted."
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          "evidence": [
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          ]
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          "confidence": "high",
          "evidence": [
            "Runtime blocker: python.",
            "No Cloudflare deployment signal detected.",
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        "contributors_90d": "partial"
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