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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 3b6384095afbe37882bd932695ceae0b
arch x86_64
build h06a4308_0
depends airflow >=1.10.12,<1.10.13.0a0, cgroupspy >=0.1.4
license Apache 2.0
md5 3b6384095afbe37882bd932695ceae0b
name airflow-with-cgroups
platform linux
sha1 ca83715431a3ad12baa3c80973ceb44b87fc9062
sha256 6febcab474f14e780e86b2116c213a2f896637c41c358b7454f1810956d237bd
size 20285
subdir linux-64
timestamp 1605878128167
version 1.10.12