DataHub Python Builds

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

Build context

Built at 2026-06-02T16:20:20.338302+00:00.

{
  "timestamp": "2026-06-02T16:20:20.338302+00:00",
  "branch": "feat/montecarlo-connector",
  "commit": {
    "hash": "2f8f1c95b6463b6dfd661f49cd1f6f6cf5bd0c35",
    "message": "feat(ingestion/montecarlo): add Monte Carlo connector\n\nIngests Monte Carlo monitors, custom SQL rules, and alert/incident\nrun events as DataHub Assertions so the Validation tab on a dataset\nreflects Monte Carlo's observability coverage and incident history.\n\nKey implementation details:\n- Monitors and custom SQL rules \u2192 CUSTOM AssertionInfo\n- Alerts / incidents \u2192 AssertionRunEvent (FAILURE)\n- MCON resolved to DataHub dataset URN via getTable + connection_to_platform_map\n- Results cached per MCON to minimise API calls\n- Results are tagged with native Monte Carlo type, resource ID and\n  data-quality dimension via customProperties\n\nAdds:\n- Source: src/datahub/ingestion/source/montecarlo/\n- Integration tests with golden-file fixtures\n- Unit tests for MCON resolution, assertion building, run events\n- Docs: docs/sources/montecarlo/ (Overview, Prerequisites,\n  Capabilities, Limitations, Troubleshooting)\n- Platform bootstrap entry and logo\n- Connector registered in datahub.json registry\n\nCo-Authored-By: Claude Sonnet 4.6 (1M context) "
  },
  "base": {
    "hash": "c7cb7468c872d466cd1c477a9417b7d7d0c90958",
    "message": "perf(graphql): eliminate N+1 exists() calls in EntityAssertionsResolver (#17596)\n\nCo-authored-by: Claude Opus 4.7 (1M context) "
  },
  "pr": {
    "number": 17685,
    "title": "feat(ingestion/montecarlo): add Monte Carlo connector",
    "url": "https://github.com/datahub-project/datahub/pull/17685"
  }
}

Usage

Current base URL: unknown

Package	Size	Install command
acryl-datahub	4.081 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'