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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 20:41:42 2025
md5 checksum 0829eb65fdda4da6bd3a252314395afb
arch x86_64
build 0
depends airflow >=1.10.7,<1.10.8.0a0, statsd >=3.3.0,<4.0
license Apache 2.0
md5 0829eb65fdda4da6bd3a252314395afb
name airflow-with-statsd
platform linux
sha1 3239906b788c2b1b0982c5fe64abf0640509bc79
sha256 b721c3c1bdcbeb2d75c38e130b4f66c38982bcf7dfddcc2e471bc1700c09e66d
size 18509
subdir linux-64
timestamp 1579721432593
version 1.10.7