{
  "id": "tool:mlflow",
  "_kind": "Tool",
  "_file": "domain/tools/stack-part-implementations.yaml",
  "_cluster": "domain",
  "attributes": {
    "displayName": "MLflow",
    "homepageUrl": "https://mlflow.org",
    "kind": "other",
    "description": "Open-source ML lifecycle platform — experiment tracking, model\nregistry, packaging, and deployment.\n"
  },
  "outgoingEdges": [
    {
      "from": "tool:mlflow",
      "to": "language:python",
      "kind": "belongs_to_language"
    },
    {
      "from": "tool:mlflow",
      "to": "stack-part:model-registry",
      "kind": "implements_stack_part",
      "attributes": {}
    },
    {
      "from": "tool:mlflow",
      "to": "skill-area:model-serving",
      "kind": "used_for",
      "attributes": {}
    },
    {
      "from": "tool:mlflow",
      "to": "tool:databricks",
      "kind": "alternative_to",
      "attributes": {
        "comparison": "ML platforms — MLflow is ML lifecycle management; Databricks is a unified data+AI platform"
      }
    },
    {
      "from": "tool:mlflow",
      "to": "tool:bentoml",
      "kind": "alternative_to",
      "attributes": {
        "comparison": "ML tools — MLflow is experiment tracking and model registry; BentoML is model serving"
      }
    }
  ],
  "incomingEdges": [
    {
      "from": "skill-area:model-monitoring-drift-detection",
      "to": "tool:mlflow",
      "kind": "uses_tool"
    },
    {
      "from": "specialization:data-science-ml",
      "to": "tool:mlflow",
      "kind": "uses_tool"
    },
    {
      "from": "specialization:llm-fine-tuning",
      "to": "tool:mlflow",
      "kind": "uses_tool"
    },
    {
      "from": "specialization:recommendation-infrastructure",
      "to": "tool:mlflow",
      "kind": "uses_tool"
    },
    {
      "from": "stack-part:model-registry",
      "to": "tool:mlflow",
      "kind": "implemented_by",
      "attributes": {}
    },
    {
      "from": "stack-profile:ml-pipeline-stack",
      "to": "tool:mlflow",
      "kind": "composed_of"
    },
    {
      "from": "stack-profile:feature-store-mlops",
      "to": "tool:mlflow",
      "kind": "composed_of"
    },
    {
      "from": "tool:databricks",
      "to": "tool:mlflow",
      "kind": "alternative_to",
      "attributes": {
        "comparison": "ML platforms — Databricks is a unified data+AI platform; MLflow is ML lifecycle management"
      }
    },
    {
      "from": "tool:bentoml",
      "to": "tool:mlflow",
      "kind": "alternative_to",
      "attributes": {
        "comparison": "ML tools — BentoML is model serving; MLflow is experiment tracking and model registry"
      }
    },
    {
      "from": "tool-server:mcp-mlflow",
      "to": "tool:mlflow",
      "kind": "integrates_with",
      "attributes": {}
    }
  ]
}