DataHub Python Builds

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

Build context

Built at 2026-06-19T14:54:34.178328+00:00.

{
  "timestamp": "2026-06-19T14:54:34.178328+00:00",
  "branch": "aws-kinesis-connector",
  "commit": {
    "hash": "a8d9a2bf1ed71f62748fcd647c3da6006b26b0dd",
    "message": "test(ingest/kinesis): use standard docker_compose_runner + in-process ingest\n\nRefactor the Kinesis integration test to the repo's standard harness instead of\nthe bespoke subprocess strategy:\n- Use the docker_compose_runner fixture + wait_for_port (as delta_lake/neo4j/\n  clickhouse do) instead of shelling out to `docker compose up/down` with a hand-\n  rolled health poll.\n- Seed test data in-process via boto3 fixtures; delete the standalone\n  setup_test_data.py that was invoked via subprocess.\n- Run ingestion in-process via run_datahub_cmd instead of subprocess to the\n  `datahub` CLI \u2014 removes the DATAHUB_BIN/\"stale global datahub\" workaround.\n- File sink writes a relative path (run_datahub_cmd isolates to tmp_path); add an\n  explicit container_name so wait_for_port can exec the LocalStack container.\n\nGolden output is byte-identical; integration test passes against LocalStack 3.0."
  },
  "base": {
    "hash": "b2d6fbf6b7f84dcf08b285a14bbe609490a8b0d9",
    "message": "docs(townhalls): update town hall content for June 2026 (#17887)"
  },
  "pr": {
    "number": 17592,
    "title": "feat(ingest/kinesis): AWS Kinesis Data Streams + Amazon Data Firehose source",
    "url": "https://github.com/datahub-project/datahub/pull/17592"
  }
}

Usage

Current base URL: unknown

Package	Size	Install command
acryl-datahub	4.164 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'