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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 20:41:36 2025
md5 checksum fe5626c1fefeca29182acec188ce35fd
arch x86_64
build 0
depends airflow >=1.10.7,<1.10.8.0a0, slackclient >=1.0.0,<2.0.0
license Apache 2.0
md5 fe5626c1fefeca29182acec188ce35fd
name airflow-with-slack
platform linux
sha1 ac09bfb84679dbe1d214cc0c5e9bb2329a3591d9
sha256 6e14defaaa8c24046861d37c47da131f3118a56e0281352760d5267d9f4e502a
size 18497
subdir linux-64
timestamp 1579721428904
version 1.10.7