Apache Airflow
★ 47.1kAbout
Apache Airflow is a workflow orchestration platform designed for teams that need to define, schedule, and monitor repeatable pipelines as code. The README emphasizes that it works best for mostly...
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Read recap →Weekly Recap — Oct 2, 2026 – Oct 9, 2026Oct 9, 2026
Features
- workflow authoring
- workflow scheduling
- workflow monitoring
- DAGs as code
- worker-based task execution
- command-line utilities
- web user interface
- pipeline visualization
- progress monitoring
- issue troubleshooting
Details
- Last Updated
- Oct 10, 2026
- Created
- Apr 13, 2015
- Install Methods
- dockerpackage-managersourcekubernetes
- Requirements
- Python
- 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 Sep 25, 2026
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