個人 GitHub 帳號下公開儲存庫的擁有者可以登入並驗證所有權,自行管理介紹,無需管理員核准。
登入並產生驗證檔案,在 30 分鐘內將其提交至此儲存庫的預設分支。其他分支或分叉儲存庫中的檔案無效。然後在下方檢查檔案,即可無需管理員核准直接管理專案。請保留檔案以維持管理權限。
如需登入,將前往登入頁面。登入後請回到此處,再次點擊所選的驗證按鈕。
在專案資料夾中執行 /nomorevibe verify,即可驗證所有權並自行管理介紹。
一分鐘完成驗證Apache Airflow 3 provider to run Python callables, Bash commands and Pixi tasks in Pixi environments, on workers or in Kubernetes pods.
翻譯準備中
取自儲存庫 README
正在載入完整 README。 以下為已儲存的摘錄。
An Apache Airflow 3 provider that runs tasks inside Pixi-managed environments,
on the worker or in a Kubernetes pod, so a task can use conda-forge and PyPI packages that are not
installed on the worker.
Documentation: https://danplischke.github.io/apache-airflow-providers-pixi/
(for LLMs and coding agents: llms.txt)
Requires Apache Airflow 3.1.2 or newer and Python 3.10 to 3.14 (3.14 needs Airflow 3.2). The
workers need pixi 0.81.0 or newer on PATH; the provider
never installs it. See Requirements
and the deployment guide.檢視完整 README ↗目前無法載入完整 README。請透過原文連結閱讀。 以下為已儲存的摘錄。
An Apache Airflow 3 provider that runs tasks inside Pixi-managed environments,
on the worker or in a Kubernetes pod, so a task can use conda-forge and PyPI packages that are not
installed on the worker.
Documentation: https://danplischke.github.io/apache-airflow-providers-pixi/
(for LLMs and coding agents: llms.txt)
Requires Apache Airflow 3.1.2 or newer and Python 3.10 to 3.14 (3.14 needs Airflow 3.2). The
workers need pixi 0.81.0 or newer on PATH; the provider
never installs it. See Requirements
and the deployment guide.檢視完整 README ↗