Apache Airflow
★ 46.1kAbout
Apache Airflow is an open source workflow orchestration platform for defining, scheduling, and monitoring data pipelines and other automated jobs. It is designed for workflows that are mostly static...
Community Ratings
No ratings yetFeatures
- workflow authoring
- task scheduling
- workflow monitoring
- DAG orchestration
- command-line utilities
- user interface for pipeline visualization
- progress monitoring
- issue troubleshooting
- dynamic pipeline generation
- templating with Jinja
Details
- Last Updated
- Jul 12, 2026
- Created
- Apr 13, 2015
- Install Methods
- dockerpackage-managersource
- Requirements
- Python 3.10, 3.11, 3.12, 3.13, 3.14
- Runtime / Stack
- PythonDocker
- Privacy & Independence
- No Cloud RequiredOffline Capable
- Deployment
Deployment: Docker Compose ✓
Compose parse error
multi-doc YAML not supported
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
#
# Basic Airflow cluster configuration for CeleryExecutor with Redis and PostgreSQL.
#
# ...
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Metadata extracted from README on Jun 24, 2026
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