Programmatically author, schedule and monitor data pipelines

Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative. 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.
RPM
python3-apache-airflow-3.1.6-1.lbn42.noarch.rpm
Summary
Programmatically author, schedule and monitor data pipelines
URL
http://airflow.apache.org/
Group
Unspecified
License
Apache License 2
Source
apache-airflow-3.1.6-1.lbn42.src.rpm
Checksum
ab3c905755e1a45faa9db008ff36f6cdc3f462c01379fee03dc4e4e609d95262
Build Date
2026/01/26 13:54:17
Requires
python3.13dist(apache-airflow-core) = 3.1.6
python3.13dist(apache-airflow-task-sdk) = 1.1.6
Provides
python-apache-airflow = 3.1.6-1.lbn42
python3-apache-airflow = 3.1.6-1.lbn42
python3.13-apache-airflow = 3.1.6-1.lbn42
python3.13dist(apache-airflow) = 3.1.6
python3dist(apache-airflow) = 3.1.6
Obsoletes