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Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.

Uploaded Mon Mar 31 20:41:22 2025
md5 checksum b9f5a017d8dc4e8514cb772c59382e9c
arch x86_64
build h06a4308_0
depends airflow >=1.10.12,<1.10.13.0a0, qds-sdk >=1.10.4
license Apache 2.0
md5 b9f5a017d8dc4e8514cb772c59382e9c
name airflow-with-qds
platform linux
sha1 3e7ad0472f848fdc14101ad67403a7eff4ab113b
sha256 5c18c1a476caa8c84140299529936d30f51a5b215fafdbd5c528212af07c29da
size 20279
subdir linux-64
timestamp 1605878149756
version 1.10.12