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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 20:41:41 2025
md5 checksum a624672c7992267ad33c61807369419b
arch x86_64
build h06a4308_0
depends airflow >=1.10.12,<1.10.13.0a0, statsd >=3.3.0,<4.0
license Apache 2.0
md5 a624672c7992267ad33c61807369419b
name airflow-with-statsd
platform linux
sha1 20d4540f19479bda4c4abbe1705d54e0bc56ff7f
sha256 681b7c7d219ff6a8a919a59f0249f87ed5053cc5f6a2aa85e62647174868a79b
size 20283
subdir linux-64
timestamp 1605878158174
version 1.10.12