{
  "edges": [
    {
      "evidence": {
        "dataset": "german-public-sector-ai-dependency-atlas",
        "field": "repository_commit_manifest_package_identity",
        "sourceId": "opencode:6174@fc7e24cd546449ac9fdee4ad78aab861e0c89666:pypi:tensorflow",
        "url": "https://gitlab.opencode.de/energieautarkes-wohnquartier/backend/-/commit/fc7e24cd546449ac9fdee4ad78aab861e0c89666"
      },
      "evidenceClass": "exact",
      "from": "opencode:6174",
      "id": "edge:98093c81218dbbc11fc3e913",
      "observedAt": "2026-07-21T08:58:16.708Z",
      "relation": "declares_dependency",
      "to": "package:pypi:tensorflow"
    }
  ],
  "entity": {
    "attributes": {
      "advisoryCount": 0,
      "category": "machine-learning",
      "ecosystem": "pypi",
      "identity": "pypi:tensorflow",
      "licenseExpressions": [
        "Apache-2.0"
      ],
      "occurrenceCount": 1,
      "provider": null,
      "repositoryCount": 1
    },
    "edgeCount": 1,
    "id": "package:pypi:tensorflow",
    "indexable": true,
    "label": "TensorFlow",
    "links": [
      {
        "kind": "local_dossier",
        "label": "KI-Abhängigkeitsatlas",
        "url": "/tools/ki-abhaengigkeitsatlas/paket/tensorflow-b039ea09/"
      }
    ],
    "slug": "package-pypi-tensorflow-26206748",
    "sourceRefs": [
      {
        "dataset": "german-public-sector-ai-dependency-atlas",
        "field": "package_ecosystem_identity",
        "sourceId": "pypi:tensorflow"
      }
    ],
    "type": "package"
  },
  "fingerprint": "sha256:11647acb904693cfaa609b2eafc9ea9c6a693862385f68097861af00f60e54e9",
  "generatedAt": "2026-07-21T08:59:15.288Z",
  "neighbors": [
    {
      "attributes": {
        "aiPackageCount": 2,
        "commitSha": "fc7e24cd546449ac9fdee4ad78aab861e0c89666",
        "lastActivityAt": "2026-04-15T13:18:54.254Z",
        "pathWithNamespace": "energieautarkes-wohnquartier/backend",
        "treeComplete": true
      },
      "description": "This Python-based REST API delivers energy simulation data for the “Energieautarkes Wohnquartier” project. It provides both precomputed results for various building and system configurations, as well as real-time predictions using a machine learning model trained on over 3,300 high-fidelity SimulationX simulations.\r\n\r\nThe API can be used alongside the separately developed React/Three.js frontend to enable real-time evaluation of user-defined scenarios. Deterministic simulations and ML-based regression are combined to ensure fast and accurate responses, even for previously unseen configurations.",
      "edgeCount": 2,
      "id": "opencode:6174",
      "indexable": true,
      "label": "energieautarkes-wohnquartier/backend",
      "links": [
        {
          "kind": "official_source",
          "label": "openCode",
          "url": "https://gitlab.opencode.de/energieautarkes-wohnquartier/backend"
        },
        {
          "kind": "snapshot",
          "label": "Commit",
          "url": "https://gitlab.opencode.de/energieautarkes-wohnquartier/backend/-/commit/fc7e24cd546449ac9fdee4ad78aab861e0c89666"
        },
        {
          "kind": "local_dossier",
          "label": "KI-Code-Radar",
          "url": "/tools/ki-code-radar/repository/opencode-6174/"
        }
      ],
      "slug": "repository-opencode-6174-1af60671",
      "sourceRefs": [
        {
          "dataset": "german-public-sector-ai-code-radar",
          "field": "opencode_project_id_and_commit",
          "fingerprint": "git:fc7e24cd546449ac9fdee4ad78aab861e0c89666",
          "sourceId": "opencode:6174",
          "url": "https://gitlab.opencode.de/energieautarkes-wohnquartier/backend/-/commit/fc7e24cd546449ac9fdee4ad78aab861e0c89666"
        }
      ],
      "type": "repository"
    }
  ],
  "schemaVersion": "ki-evidenznetz.entity.v1"
}