DataHub Python Builds

These prebuilt wheel files can be used to install our Python packages as of a specific commit.

Build context

Built at 2026-06-23T13:49:38.127237+00:00.

{
  "timestamp": "2026-06-23T13:49:38.127237+00:00",
  "branch": "feat/normalize-lineage-urn-casing",
  "commit": {
    "hash": "9a1bed21e2c0f1d1f59d9c29f4a2a662ef6e136f",
    "message": "docs(ingest): clarify normalize_lineage_urn_casing vs convert_urns_to_lowercase\n\nThe guide implied no mitigation exists. Acknowledge the current\nconvert_urns_to_lowercase workaround, explain its limits (cross-source\ncoordination, unavailable on Looker/Tableau, lowercasing flattens display\ncasing and can merge distinct case-sensitive tables), and frame this feature as\nresolving to the existing entity's casing rather than flattening identities.\n\nCo-Authored-By: Claude Opus 4.8 "
  },
  "base": {
    "hash": "bb3b4066d6e6d1ad32f5590b8e805e6a6ed29963",
    "message": "feat(ingestion/teradata): skip profiling of oversize tables via profi\u2026 (#17891)"
  },
  "pr": {
    "number": 18004,
    "title": "feat(ingest): reconcile upstream lineage URN casing against DataHub",
    "url": "https://github.com/datahub-project/datahub/pull/18004"
  }
}

Usage

Current base URL: unknown

Package	Size	Install command
acryl-datahub	4.197 MB	uv pip install 'acryl-datahub @ <base-url>/artifacts/wheels/acryl_datahub-0.0.0.dev1-py3-none-any.whl'
acryl-datahub-actions	0.118 MB	uv pip install 'acryl-datahub-actions @ <base-url>/artifacts/wheels/acryl_datahub_actions-0.0.0.dev1-py3-none-any.whl'
acryl-datahub-airflow-plugin	0.067 MB	uv pip install 'acryl-datahub-airflow-plugin @ <base-url>/artifacts/wheels/acryl_datahub_airflow_plugin-0.0.0.dev1-py3-none-any.whl'
acryl-datahub-dagster-plugin	0.020 MB	uv pip install 'acryl-datahub-dagster-plugin @ <base-url>/artifacts/wheels/acryl_datahub_dagster_plugin-0.0.0.dev1-py3-none-any.whl'
acryl-datahub-gx-plugin	0.011 MB	uv pip install 'acryl-datahub-gx-plugin @ <base-url>/artifacts/wheels/acryl_datahub_gx_plugin-0.0.0.dev1-py3-none-any.whl'
prefect-datahub	0.012 MB	uv pip install 'prefect-datahub @ <base-url>/artifacts/wheels/prefect_datahub-0.0.0.dev1-py3-none-any.whl'