DataHub Python Builds

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

Build context

Built at 2026-04-26T21:38:44.740782+00:00.

{
  "timestamp": "2026-04-26T21:38:44.740782+00:00",
  "branch": "worktree-feat+local-embedding-provider",
  "commit": {
    "hash": "1fb0341f3a57d001f80ab1992709bc14d07f4488",
    "message": "ci: fix docker compose wait \u2014 poll GMS/Ollama instead of --wait\n\nollama-model-init exits with code 0 after pulling and warming the model.\ndocker compose --wait treats any container exit as failure, which breaks\nthe startup step even on success. Replace with explicit health polling:\n- GMS readiness: curl localhost:8080/health (90x10s = 900s max)\n- Ollama model readiness: embed probe (60x10s = 600s max)\n\nCo-Authored-By: Claude Sonnet 4.6 "
  },
  "base": {
    "hash": "34c878a4484f895ba65e87a35ff4c4760252f6f2",
    "message": "ci(security): Trivy/Grype scan workflow, Linear sync, and registry profiles (#17159)"
  },
  "pr": {
    "number": 17201,
    "title": "feat(search): add local embedding provider for on-premise semantic search (Ollama)",
    "url": "https://github.com/datahub-project/datahub/pull/17201"
  }
}

Usage

Current base URL: unknown

Package	Size	Install command
acryl-datahub	3.590 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'