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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 20:40:29 2025
md5 checksum 7ddeaeb144c988076b2a4b64982d98f1
arch x86_64
build 0
depends airflow >=1.10.7,<1.10.8.0a0, cassandra-driver >=3.13.0
license Apache 2.0
md5 7ddeaeb144c988076b2a4b64982d98f1
name airflow-with-cassandra
platform linux
sha1 c7808aa98a5e53f757c85084aa0a7815100c4c97
sha256 0b589c4cdd47390d4d600d377e9e52de8542f813c3c80749c1f8b8f78ad8db8c
size 18517
subdir linux-64
timestamp 1579721379465
version 1.10.7