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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 20:40:55 2025
md5 checksum 9da0bde7d78c3dd271f44ee9f7bb11b8
arch x86_64
build h06a4308_0
depends airflow >=1.10.12,<1.10.13.0a0, snakebite >=2.7.8
license Apache 2.0
md5 9da0bde7d78c3dd271f44ee9f7bb11b8
name airflow-with-hdfs
platform linux
sha1 d81990aec8e4ab53c13ca097863f247114d8282d
sha256 4976f5bffed6ceacea0702f3127b95ac0a91b7b6181990a874bdc9ba7998e3aa
size 20275
subdir linux-64
timestamp 1605878138462
version 1.10.12