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Apache Airflow

Apache Airflow is an open-source platform for developing, scheduling, and monitoring batch-oriented workflows. It uses Python to author DAGs (Directed Acyclic Graphs) that represent workflows, and provides a rich web UI for managing and observing pipelines.

Apache Airflow

Installation

Default install:

1
bash -c "$(curl -fsSL https://raw.githubusercontent.com/community-scripts/ProxmoxVED/main/ct/airflow.sh)"
CPU: 2 cores RAM: 4096 MB Disk: 16 GB OS: Debian 13

Default Credentials

UsernamePassword
adminNone

Notes

The initial admin password is randomly generated and stored in /opt/airflow/.env (AIRFLOW_ADMIN_PASSWORD).
Place your DAG files in /opt/airflow/dags/. The scheduler will pick them up automatically.
This installs Airflow with LocalExecutor. For distributed task execution, configure CeleryExecutor manually.

Web Interface

Port: 8080

Source code
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