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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 20:41:06 2025
md5 checksum a571290060ca2f9cf7c09e36874bce8f
arch x86_64
build 0
depends airflow >=1.10.7,<1.10.8.0a0, ldap3 >=2.5.1
license Apache 2.0
md5 a571290060ca2f9cf7c09e36874bce8f
name airflow-with-ldap
platform linux
sha1 5691f41cdf455e3297ea167a210a19a674ea14fa
sha256 12276db52626f53fe9161eeccd617acf4ce5bf1704d4465d8b6e5758fa02a13b
size 18490
subdir linux-64
timestamp 1579721408409
version 1.10.7