plone

python3-apache-airflow+winrm-2.10.5-1.lbn36.noarch
This is a metapackage bringing in winrm extras requires for python3-apache-airflow. It makes sure the dependencies are installed.
Located in LBN / … / Data Science / BastionLinux 36
python3-apache-airflow+yandex-2.10.5-1.lbn36.noarch
This is a metapackage bringing in yandex extras requires for python3-apache-airflow. It makes sure the dependencies are installed.
Located in LBN / … / Data Science / BastionLinux 36
python3-apache-airflow+ydb-2.10.5-1.lbn36.noarch
This is a metapackage bringing in ydb extras requires for python3-apache-airflow. It makes sure the dependencies are installed.
Located in LBN / … / Data Science / BastionLinux 36
python3-apache-airflow+zendesk-2.10.5-1.lbn36.noarch
This is a metapackage bringing in zendesk extras requires for python3-apache-airflow. It makes sure the dependencies are installed.
Located in LBN / … / Data Science / BastionLinux 36
python3-apache-airflow-1.10.9-1.lbn25.noarch
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.
Located in LBN / … / Cloud Computing / BastionLinux 25
python3-apache-airflow-2.9.2-1.lbn36.noarch
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.
Located in LBN / … / Big Data / BastionLinux 36
python3-apache-airflow-2.9.2-1.lbn36.noarch
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.
Located in LBN / … / Cloud Computing / BastionLinux 36
python3-apache-airflow-2.10.5-1.lbn36.noarch
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.
Located in LBN / … / Data Science / BastionLinux 36
python3-apache-airflow-airbyte-2.8.0-2.lbn36.noarch
Apache/Airflow airbyte provider
Located in LBN / … / Big Data / BastionLinux 36
python3-apache-airflow-alibaba-2.8.0-2.lbn36.noarch
Apache/Airflow alibaba provider
Located in LBN / … / Big Data / BastionLinux 36

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