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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 20:41:29 2025
md5 checksum 5803ba005b405375abad2628d6643312
arch x86_64
build h06a4308_0
depends airflow >=1.10.12,<1.10.13.0a0, simple-salesforce >=0.72
license Apache 2.0
md5 5803ba005b405375abad2628d6643312
name airflow-with-salesforce
platform linux
sha1 ca3f763e39555af1afedde9645bc2e71d7aa14b1
sha256 74832cda506f524c58e6e158eef6fa295e2e38c56c052126458acb2ad4bf74ef
size 20300
subdir linux-64
timestamp 1605878152895
version 1.10.12