DataHub Python Builds

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

Build context

Built at 2026-03-03T21:58:07.286909+00:00.

{
  "timestamp": "2026-03-03T21:58:07.286909+00:00",
  "branch": "mode_cross_space_parallelization",
  "commit": {
    "hash": "ac4dbbd2fb10af525415900b6009d3b0fb710147",
    "message": "perf(ingestion/mode): Add multi-process SQL parsing via ProcessPoolExecutor\n\nOffload CPU-bound sqlglot parsing to a process pool while keeping I/O\n(API calls) in threads. Each worker process creates its own DataHubGraph\nconnection and SchemaResolver cache. Gracefully degrades to in-thread\nparsing if pool creation fails or a worker crashes (BrokenProcessPool).\n\nCo-Authored-By: Claude Opus 4.6 "
  },
  "pr": {
    "number": 16408,
    "title": "perf(ingestion/mode): Parallelize report processing across all spaces",
    "url": "https://github.com/datahub-project/datahub/pull/16408"
  }
}

Usage

Current base URL: unknown

Package	Size	Install command
acryl-datahub	2.959 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'