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apache/airflow

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Python ◇ airflow Apache-2.0
★47KSTARS
⑂17.9KFORKS
!1,887ISSUES
🏆#216GLOBAL RANK
🔥5DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for apache/airflow
CSV

Momentum

+1.2K

STARS · LAST 30 DAYS

39

PER DAY

#54

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+273+1.2K+3.5K
Per day393939
Forks gained+90+358+896

airflow gained 1.2K stars in the last 30 days, about 39 a day, and now has 47K. It is about 11 years old and has averaged roughly 4.3K stars a year. It ranks #54 among Python repositories and #216 across all languages on GitHubRepo.

Trending Record

airflow has maintained a continuous presence across global trending indexes, peaking at #317. Below is the 30-day activity profile:

💡 Overview

airflow is an open-source project written in Python: Apache Airflow - A platform to programmatically author, schedule, and monitor workflows.

Engineered for speed, consistency, and developer ease, it solves common hurdles in airflow, apache, apache-airflow. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install airflow

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

airflow coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with airflow.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install airflow using your package manager: `pip install airflow`

2

Initialize your project workspace or configuration file for airflow.

3

Import airflow into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `airflow --help` to verify successful setup.

👍 Strengths

Active community backing with 46,965 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

apache/airflow is currently ranked #216 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#211 QuantumNous/new-api Go ★ 49K Compare ↗
#212 HKUDS/nanobot Python ★ 48.6K Compare ↗
#213 bevyengine/bevy Rust ★ 48.4K Compare ↗
#214 gogs/gogs Go ★ 47.8K Compare ↗
#215 zhayujie/CowAgent Python ★ 47.1K Compare ↗
#216 apache/airflow This Project Python ★ 47K
#217 v2ray/v2ray-core Go ★ 46.9K Compare ↗
#218 iina/iina Swift ★ 46.5K Compare ↗
#219 cli/cli Go ★ 46.4K Compare ↗
#220 helix-editor/helix Rust ★ 46.4K Compare ↗
#221 milvus-io/milvus Go ★ 46.3K Compare ↗

Frequently Asked Questions

What does airflow do? +

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

What language is airflow written in? +

The primary language is Python. Topics include: airflow, apache, apache-airflow, automation, dag.

Is airflow actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 1,887 open issues being tracked.

How many stars does airflow have? +

airflow has 46,986 stars and 17,919 forks on GitHub.

How does airflow rank among GitHub repositories? +

With 46,986 stars, apache/airflow is ranked #216 globally across all repositories tracked on GitHubRepo and #54 among Python projects.

What license is airflow distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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