These prebuilt wheel files can be used to install our Python packages as of a specific commit.
Built at 2026-03-24T17:23:16.428847+00:00.
{
"timestamp": "2026-03-24T17:23:16.428847+00:00",
"branch": "powerbi_mquery_parser",
"commit": {
"hash": "70573e8f7f9e42e93d9a05a68289b6f6ed603736",
"message": "fix(powerbi): explicitly close MiniRacer context in _clear_bridge() to prevent GC segfault\n\npy_mini_racer's __del__ -> close() is not thread-safe. When _clear_bridge() simply\nset _bridge_instance = None, Python's GC could finalize the MiniRacer object later\n(in an unrelated test) while other threads were active, causing a segfault. Explicitly\ncalling _ctx.close() while holding the lock shuts down the V8 context synchronously\nand cleanly, before any threads can interfere."
},
"base": {
"hash": "3a3a99d0e002bca16ec4dee23bffd9753f259108",
"message": "fix(ingestion/flink): add tenacity to flink extras in setup.py/pyproject.toml/uv.lock (#16741)"
},
"pr": {
"number": 16685,
"title": "feat(powerbi): replace Lark M-Query parser with Microsoft powerquery-parser",
"url": "https://github.com/datahub-project/datahub/pull/16685"
}
}
Current base URL: unknown
| Package | Size | Install command |
|---|---|---|
acryl-datahub |
3.413 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 |
0.108 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' |