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  "repo": "Arize-ai/phoenix",
  "name": "phoenix",
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  "homepage_url": "https://arize.com/docs/phoenix",
  "language": "Python",
  "license": "NOASSERTION",
  "project_kind": "project",
  "category": [
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  ],
  "tags": [
    "agents",
    "ai-monitoring",
    "ai-observability",
    "aiengineering",
    "anthropic",
    "datasets",
    "evals",
    "langchain",
    "llamaindex",
    "llm-eval",
    "llm-evaluation",
    "llmops",
    "llms",
    "openai",
    "prompt-engineering",
    "smolagents"
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  "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."
    }
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    {
      "repo": "lmnr-ai/lmnr",
      "reason": "Related to Arize-ai/phoenix through llm eval category and docker deployment."
    },
    {
      "repo": "langwatch/langwatch",
      "reason": "Related to Arize-ai/phoenix through llm eval category and docker deployment."
    },
    {
      "repo": "Helicone/helicone",
      "reason": "Related to Arize-ai/phoenix through llm eval category and docker deployment."
    },
    {
      "repo": "Scale3-Labs/langtrace",
      "reason": "Related to Arize-ai/phoenix through llm eval category and docker deployment."
    },
    {
      "repo": "langfuse/langfuse",
      "reason": "Related to Arize-ai/phoenix through shared LLM provider dependency context."
    },
    {
      "repo": "coze-dev/coze-loop",
      "reason": "Related to Arize-ai/phoenix through llm eval category and docker deployment."
    },
    {
      "repo": "promptfoo/promptfoo",
      "reason": "Related to Arize-ai/phoenix through llm eval category and docker deployment."
    },
    {
      "repo": "comet-ml/opik",
      "reason": "Related to Arize-ai/phoenix through llm eval category and docker deployment."
    }
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    "LLM provider"
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  "deployments": [
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    "vercel",
    "serverless",
    "kubernetes",
    "library_only",
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  "classification": {
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        "Matched \"eval\" in metadata.",
        "Matched \"evaluation\" in metadata."
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        "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."
      ]
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    "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."
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    "recent_commits": 100,
    "contributors": 100,
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    "stars30d_window_days": 32,
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  "score": 93,
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    "deployment": 100,
    "popularity": 81,
    "community": 100
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    "maintenance": 84,
    "documentation": 84,
    "stability": 90,
    "adoption": 100,
    "agent_readability": 100
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  "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"
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      "scores",
      "benchmarks",
      "eval reports"
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      "benchmark prompts and agents",
      "track model quality",
      "model evaluation",
      "benchmarking",
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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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      "kubernetes",
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      "local"
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      {
        "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."
      }
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  "evidence": {
    "classification": {
      "category": {
        "confidence": "high",
        "evidence": [
          "Matched \"eval\" in metadata.",
          "Matched \"evaluation\" in metadata."
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      "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."
        ]
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    },
    "quality_signal_confidence": {
      "stars_30d_delta": "snapshot",
      "stars30d_window_days": 32,
      "commits_30d": "partial",
      "releases_180d": "partial",
      "contributors_90d": "partial"
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      "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, releases180d, contributors90d."
    ],
    "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
    "last_verified_at": "2026-08-20T08:01:01.554Z"
  },
  "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": [
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    "project.topics",
    "project.language",
    "project.license",
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  "knowledge": {
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          "project_id": "comet-ml/opik",
          "reason": "Same llm eval intent with observability overlap."
        },
        {
          "project_id": "truera/trulens",
          "reason": "Same llm eval intent with observability overlap."
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        {
          "project_id": "raga-ai-hub/RagaAI-Catalyst",
          "reason": "Same llm eval intent with observability overlap."
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      "classification": {
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            "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."
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        "difficulty": {
          "confidence": "medium",
          "evidence": [
            "Found multi-service or orchestration configuration files."
          ]
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        "cloudflare_ready": {
          "confidence": "high",
          "evidence": [
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            "No Cloudflare deployment signal detected.",
            "No wrangler.toml found in inspected repository files."
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        "releases_180d": "partial",
        "contributors_90d": "partial"
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    "generated_at": "2026-08-21T02:46:16.473Z",
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