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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 20:41:30 2025
md5 checksum 8f6386cec2034fbf1128f253d501fef9
arch x86_64
build 0
depends airflow >=1.10.7,<1.10.8.0a0, simple-salesforce >=0.72
license Apache 2.0
md5 8f6386cec2034fbf1128f253d501fef9
name airflow-with-salesforce
platform linux
sha1 e56130090f419890682f924a335a861b682b40d8
sha256 30e32ff5b4598db0077d0145185310ee94bddc3a714d7d74bcbc4c29bd2c2639
size 18520
subdir linux-64
timestamp 1579721423564
version 1.10.7