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airflow

apache/airflow

A platform to programmatically author, schedule, and monitor workflows

GitHub Website

GraphCanon updated Sep 14, 2026 · GitHub synced Sep 14, 2026

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47k stars18k forksLast push Sep 14, 2026 Python Apache-2.0

Decision brief

Apache Airflow is a Python-based orchestrator for scheduling and monitoring workflows, suitable for tasks that require flexible DAG (Directed Acyclic Graph) definitions.

Good fit when

If you need to model complex workflow dependency graphs with Directed Acyclic Graphs (DAGs).
When operating in environments requiring support for Kubernetes, PostgreSQL, or MySQL, and running on POSIX-compliant systems like Linux distributions including Debian Bookworm and macOS.

Avoid when

Avoid if you require Windows as the primary execution environment without using WSL2.
If your project strictly adheres to MariaDB for database management, Airflow is not recommended because it is neither tested nor supported by the tool.

Observed Jul 16, 2026 · Source: enrich:decision_facts

airflow alternatives Trust report

Verify the decision

Adoption

Package downloads where a registry match exists. GitHub stars (46,844) are secondary evidence.

Docker Hub pulls (30d): 1,641,833,124·Docker Hub API·Sep 14, 2026

Maintenance and security

Full trust report

Maintenance: Very active (0d since push); As of Sep 14, 2026
Provenance: Not a fork · Organization account; As of Sep 14, 2026
Security (OSV): No lockfile; As of Jul 15, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Backing

Company context for Apache Software Foundation. Display-only - separate from trust and ranking.

Company: The Apache Software Foundation·GitHub org profile·Jul 11, 2026
Commercial model: Pure OSS·GitHub org profile (public repos)·Jul 11, 2026

Install

pip install airflow

PyPI

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Apache Airflow is a data orchestration tool written in Python for scheduling and monitoring workflows.

Capability facts

Deploy: Self-host
Source: dockerfile:Dockerfile · Sep 14, 2026
Docker: Dockerfile present
Source: dockerfile:Dockerfile · Sep 14, 2026
CLI: CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 14, 2026
Languages: python
Source: github.language+pyproject.toml · Sep 14, 2026

Graph entities

Apache Software Foundationcompany

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 14, 2026)

| Python | 3.10, 3.11, 3.12, 3.13, 3.14 | 3.10, 3.11, 3.12, 3.13, 3.14

Source link

README

Requirements Apache Airflow is tested with: Main version (dev) Stable version (3.3.0) Deprecate version (2.11.2) Python 3.10, 3.11, 3.12, 3.13, 3.14 3.10, 3.11, 3.12, 3.13, 3.14 3.10, 3.11, 3.12 Platform AMD64/ARM64 AMD64/ARM64 AMD64/ARM64(\ ) Kubernetes 1.30, 1.31, 1.32, 1.33, 1...

For agents

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/tools/apache-airflow.md GET /api/graphcanon/tools/apache-airflow GET /api/graphcanon/graph?tool=apache-airflow