DataHub Python Builds

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

Build context

Built at 2026-09-13T01:19:25.257211+00:00.

{
  "timestamp": "2026-09-13T01:19:25.257211+00:00",
  "branch": "databricks-pipeline-expectations",
  "commit": {
    "hash": "a939387f15a9380cbdd48c0b30cac858a965dcfc",
    "message": "fix(unity): filter pipeline expectations by catalog/schema/table patterns\n\nPipeline expectations are discovered from the event log independently of table\ningestion, so a pipeline could reference datasets the recipe excluded (or\nintermediate pipeline views), producing assertions on entities that were never\ningested. Apply the connector's catalog/schema/table filters before emitting,\nmirroring the table-ingestion path, and count skipped datasets in the report.\n\nAlso make the metastore URN test non-vacuous: the fake dataset-URN builder now\nmirrors production gen_dataset_urn (str(ref)), so the test fails if the extractor\nstops threading the metastore through. Drop remaining other-connector references\nfrom assertion comments.\n\nCo-authored-by: Cursor "
  },
  "base": {
    "hash": "4b8dde431becd4d4b453d572531437fdf76bf2a1",
    "message": "docs(unity): drop other-connector references from assertion comments\n\nCo-authored-by: Cursor "
  },
  "pr": {
    "number": 19755,
    "title": "feat(ingestion/unity): ingest Lakeflow pipeline expectations as assertions",
    "url": "https://github.com/datahub-project/datahub/pull/19755"
  }
}

Usage

Current base URL: unknown

Package	Size	Install command
acryl-datahub	5.194 MB	uv pip install 'acryl-datahub @ <base-url>/artifacts/wheels/acryl_datahub-0.0.0.dev1-py3-none-any.whl'
acryl-datahub-actions	0.117 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	0.072 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	0.021 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	0.019 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'