Dockerhub airflow. By default docker-airflow generates the fernet_key at startup, you have to set an environment variable in the docker-compose (ie: docker-compose-LocalExecutor. sh /airflow-scheduler-autorestart # buildkit 291 B 46 RUN |18 AIRFLOW_UID=50000 PYTHON_BASE_IMAGE=python:3. Apache Airflow is a tool to express and execute workflows as directed acyclic graphs (DAGs). ARG AIRFLOW_INSTALLATION_METHOD="apache-airflow" ENV AIRFLOW_INSTALLATION_METHOD=${AIRFLOW_INSTALLATION_METHOD} # By default latest released version of airflow is installed (when empty) but this value can be overriden # and we can install specific version of airflow this way. 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. For the ease of deployment in production, the community releases a production-ready reference container image. The images we release are multi-platform This repository contains Dockerfile of apache-airflow for Docker's automated build published to the public Docker Hub Registry. 45 COPY airflow-scheduler-autorestart. The Apache Airflow community, releases Docker Images which are reference images for Apache Airflow. Documentation Forums Contact support System status System theme Explore / apache / airflow Why Overview What is a Container Products Product Overview Product Offerings Docker Desktop Docker Hub Features Container Runtime Developer Tools Docker App Kubernetes Developers Getting Started Play with Docker Community Open Source Documentation Why Overview What is a Container Products Product Overview Product Offerings Docker Desktop Docker Hub Features Container Runtime Developer Tools Docker App . Running Airflow in Docker This quick-start guide will allow you to quickly get Airflow up and running with the CeleryExecutor in Docker. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. 04 KB 48 ARG AIRFLOW_VERSION 0 B Airflow provides a rich user interface for visualizing pipelines, monitoring progress, and troubleshooting issues when they arise. yml) file to set the same key accross containers. 09 KB 47 RUN |18 AIRFLOW_UID=50000 PYTHON_BASE_IMAGE=python:3. Rich command line utilities make performing complex surgeries on DAGs a snap. Official Docker image for Apache Airflow, enabling workflow management through programmatic authoring, scheduling, and monitoring. With its extensible architecture, Airflow supports a wide variety of data sources and destinations through its provider packages system. 12-slim-bookworm RUNTIME_APT_DEPS= 5. Nov 7, 2025 · Learn how to run and manage Apache Airflow in Docker to build, test, and visualize data pipelines in a clean, production-like environment. 12-slim-bookworm RUNTIME_APT_DEPS= 1. Apache Airflow Apache Airflow ⁠ (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows. Every time a new version of Airflow is released, the images are prepared in the apache/airflow DockerHub for all the supported Python versions. Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. It includes utilities to schedule tasks, monitor task progress and handle task dependencies. phbpcm dsoag tlc wuof fgvt xavuymk dldhkd nsvxqxxr fnlxmr lplwnb