Apache Airflow
★ 46.6kAbout
Apache Airflow is an open-source workflow orchestration platform used to define, schedule, and monitor pipelines as code. It is aimed at teams that need repeatable, maintainable automation for data...
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Read recap →Weekly Recap — Aug 14, 2026 – Aug 21, 2026Aug 21, 2026
Features
- workflow authoring
- task scheduling
- workflow monitoring
- DAG-based pipelines
- command-line utilities
- task orchestration
- user interface
- XCom metadata passing
- dynamic DAG generation
- parameterization
Details
- Last Updated
- Aug 25, 2026
- Created
- Apr 13, 2015
- Install Methods
- package-managerdockerkubernetessource
- Requirements
- PythonKubernetes
- Authentication
- local
- Runtime / Stack
- PythonDocker
- Privacy & Independence
- No Cloud RequiredOffline Capable
- User Model
- Multi-User
- 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 Aug 25, 2026
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