{
  "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"
  ],
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  "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": "langfuse/langfuse",
      "reason": "Related to Arize-ai/phoenix through llm eval category and docker deployment."
    },
    {
      "repo": "lmnr-ai/lmnr",
      "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": "langwatch/langwatch",
      "reason": "Related to Arize-ai/phoenix through llm eval category and docker deployment."
    },
    {
      "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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    "docker",
    "vercel",
    "serverless",
    "kubernetes",
    "library_only",
    "local"
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        "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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    "stars": 11610,
    "recent_commits": 100,
    "contributors": 100,
    "issue_response_time_hours": null,
    "release_frequency_180d": 100
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    "stars_30d_delta": "snapshot",
    "stars30d_window_days": 36,
    "commits_30d": "partial",
    "releases_180d": "partial",
    "contributors_90d": "partial"
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  "agent_score": 89,
  "score": 93,
  "agent_score_breakdown": {
    "documentation": 90,
    "maintenance": 76,
    "deployment": 100,
    "popularity": 81,
    "community": 100
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  "git_top_score_breakdown": {
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    "maintenance": 84,
    "documentation": 84,
    "stability": 90,
    "adoption": 100,
    "agent_readability": 100
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        "evidence": [
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        "status": "observed",
        "source": "github_metadata",
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        "evidence": [
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      "install": {
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        "source": "git_top_runtime",
        "evidence": [
          "installation/build probe is not enabled"
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      "security": {
        "status": "not_run",
        "source": "git_top_runtime",
        "evidence": [
          "dependency/security scan is not enabled"
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      "mcp": {
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        "evidence": [
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      "unknown": 0
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      "Run an installation/build probe before production adoption.",
      "Run a dependency and security scan before treating the score as a trust claim."
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    "tl_dr": "Use Arize-ai/phoenix when the user needs a llm eval project with docker, vercel, serverless deployment options.",
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      "model outputs",
      "test cases"
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      "benchmarks",
      "eval reports"
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      "evaluate LLM outputs",
      "benchmark prompts and agents",
      "track model quality",
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      "edge-only Cloudflare Workers deployment without adaptation",
      "users expecting a complete hosted product",
      "production inference serving",
      "end-user chat apps"
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      "vercel",
      "serverless",
      "kubernetes",
      "library_only",
      "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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        "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": 36,
      "commits_30d": "partial",
      "releases_180d": "partial",
      "contributors_90d": "partial"
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      "signals": {
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            "metrics.recent_push_days"
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        "license": {
          "status": "observed",
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          "evidence": [
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        "documentation": {
          "status": "observed",
          "source": "github_metadata",
          "evidence": [
            "project.description"
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        "runtime": {
          "status": "inferred",
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          "evidence": [
            "agent_card.deployment",
            "agent_card.cloudflare_ready"
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        "install": {
          "status": "not_run",
          "source": "git_top_runtime",
          "evidence": [
            "installation/build probe is not enabled"
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        },
        "security": {
          "status": "not_run",
          "source": "git_top_runtime",
          "evidence": [
            "dependency/security scan is not enabled"
          ]
        },
        "mcp": {
          "status": "not_applicable",
          "source": "git_top_runtime",
          "evidence": [
            "project is not classified as mcp_server"
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      },
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        "observed": 3,
        "inferred": 1,
        "not_run": 2,
        "unknown": 0
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        "Run an installation/build probe before production adoption.",
        "Run a dependency and security scan before treating the score as a trust claim."
      ]
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      "edge-only Cloudflare Workers deployment without adaptation",
      "users expecting a complete hosted product",
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      "Independent installation, security, or runtime probes have not been run for this project."
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    "confidence_reason": "Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.",
    "last_verified_at": "2026-09-25T11:01:17.233Z"
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    "edge-only Cloudflare Workers deployment without adaptation",
    "users expecting a complete hosted product",
    "Partial or estimated quality signals: commits30d, releases180d, contributors90d.",
    "Independent installation, security, or runtime probes have not been run for this project."
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  "knowledge": {
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        "llamaindex",
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      "alternatives": [
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          "project_id": "comet-ml/opik",
          "reason": "Same llm eval intent with observability overlap."
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        {
          "project_id": "truera/trulens",
          "reason": "Same llm eval intent with observability overlap."
        },
        {
          "project_id": "raga-ai-hub/RagaAI-Catalyst",
          "reason": "Same llm eval intent with observability overlap."
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      "summary_for_agent": "Use Arize-ai/phoenix when the user needs a llm eval project with docker, vercel, serverless deployment options.",
      "classification": {
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          "evidence": [
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            "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."
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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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      "schema_version": "v1",
      "generated_at": "2026-09-25T11:01:17.233Z"
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      "contributors_90d": 100,
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      "maintenance_score": 76,
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        "releases_180d": "partial",
        "contributors_90d": "partial"
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