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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 20:40:33 2025
md5 checksum 2ef09d7d2cca4d6bd9c6ca5e777ed714
arch x86_64
build 0
depends airflow >=1.10.7,<1.10.8.0a0, cgroupspy >=0.1.4
license Apache 2.0
md5 2ef09d7d2cca4d6bd9c6ca5e777ed714
name airflow-with-cgroups
platform linux
sha1 826130738cc593fd85723e03af1ed5adb4103d6d
sha256 ffa7f0d7f9454f794b1b0630ec3d0096068111f6866ba8a56f3156cfef3309e3
size 18505
subdir linux-64
timestamp 1579721382690
version 1.10.7