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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 abf82d7791949835224b7fa4534156b4
arch x86_64
build h06a4308_0
depends airflow >=1.10.12,<1.10.13.0a0, ldap3 >=2.5.1
license Apache 2.0
md5 abf82d7791949835224b7fa4534156b4
name airflow-with-ldap
platform linux
sha1 2dfedb016ab5dc7eb5567513c1a731fcb83a2a37
sha256 f435df59eab16ae6a2ca5f1e12fd47d2871a78e57d7ed0d204e229a0d1c6134b
size 20269
subdir linux-64
timestamp 1605878143600
version 1.10.12