DataHub Python Builds

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

Build context

Built at 2026-05-05T06:35:44.152023+00:00.

{
  "timestamp": "2026-05-05T06:35:44.152023+00:00",
  "branch": "feat/fivetran-managed-data-lake-iceberg-rest",
  "commit": {
    "hash": "0da6b06c3c4a43dffa4acd239c74bb76bcd22a06",
    "message": "refactor(ingest/fivetran): move database_for_urn off PlatformDetail\n\n`PlatformDetail` is a config record; URN-formatting policy belongs\nwith URN-construction code. Move the helper to `FivetranSource` as\na `@staticmethod`, keep the `database_lowercase: bool = True` flag\non `PlatformDetail` (it really is config). Same behaviour, same tests\npass \u2014 pure code-organisation change, addressing review feedback."
  },
  "base": {
    "hash": "a72153bad3c68704d9c094006bd5548784a4cbd2",
    "message": "perf: Lazy load mui-icons (#17286)"
  },
  "pr": {
    "number": 17217,
    "title": "feat(ingest/fivetran): REST API mode and Managed Data Lake destination support",
    "url": "https://github.com/datahub-project/datahub/pull/17217"
  }
}

Usage

Current base URL: unknown

Package	Size	Install command
acryl-datahub	3.674 MB	uv pip install 'acryl-datahub @ <base-url>/artifacts/wheels/acryl_datahub-0.0.0.dev1-py3-none-any.whl'
acryl-datahub-actions	0.105 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	0.109 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	0.011 MB	uv pip install 'prefect-datahub @ <base-url>/artifacts/wheels/prefect_datahub-0.0.0.dev1-py3-none-any.whl'