Fast and memory-efficient exact attention
⚡ Executive Summary & Quick Facts
Authoritative Sourceflash-attention is flash-attention is an open-source project written in Python: Fast and memory-efficient exact attention..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), Dao-AILab/flash-attention has accumulated 25,279 GitHub stars and 3,217 forks. It is written in Python, licensed under BSD-3-Clause, and ranks #666 globally. It is actively maintained with the latest commit recorded on Nov 11, 2026.”
| Repository | Dao-AILab/flash-attention ↗ |
|---|---|
| Primary Category | developer tools |
| Language & Stack | Python |
| Software License | BSD-3-Clause |
| Community Traction | ★ 25.3K stars · ⑂ 3.2K forks · #666 globally |
| Maintenance | ● Active (Last commit: Nov 11, 2026) · 1,401 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 90/100 · Grade AYes, flash-attention is actively maintained. Continuous telemetry recorded the last code commit on Nov 11, 2026 (0 days ago). Supported by 25,279 stars and 3,217 community forks, this repository holds a calculated health index of 90/100, reflecting very active (commits within last 14 days) and high open issue volume (1,401 open).
Star History
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+632
STARS · LAST 30 DAYS
21
PER DAY
#132
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +147 | +632 | +1.9K |
| Per day | 21 | 21 | 21 |
| Forks gained | +16 | +64 | +161 |
flash-attention gained 632 stars in the last 30 days, about 21 a day, and now has 25.3K. It is about 4 years old and has averaged roughly 6.3K stars a year. It ranks #132 among Python repositories and #666 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#8937
BEST RANK
Nov 12, 2026
FIRST APPEARANCE
Active
STATUS TODAY
flash-attention has maintained a continuous presence across global trending indexes, peaking at #8937. Below is the 30-day activity profile:
💡 Overview
flash-attention is an open-source project written in Python: Fast and memory-efficient exact attention.
Engineered for speed, consistency, and developer ease, it solves common hurdles in Python. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install flash-attention⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
flash-attention 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
Production System Integration
Embed flash-attention into Python backend services to handle core application logic.
CI/CD Automated Pipelines
Run automated validation, builds, and integration suites during deployments.
Developer Tooling & Workflows
Accelerate developer onboarding with pre-configured project utilities.
Open Source Extension
Fork and customize internal modules under the repository's open BSD-3-Clause license.
🚀 Getting Started
Install flash-attention using your package manager: `pip install flash-attention`
Initialize your project workspace or configuration file for flash-attention.
Import flash-attention into your codebase or invoke it directly from your terminal.
Execute your test suite or run `flash-attention --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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
Dao-AILab/flash-attention is currently ranked #666 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #661 | SDWebImage/SDWebImage | Objective-C | ★ 25.6K | Compare ↗ |
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| #663 | zloirock/core-js | JavaScript | ★ 25.5K | Compare ↗ |
| #664 | libgdx/libgdx | Java | ★ 25.5K | Compare ↗ |
| #665 | NVIDIA/SkillSpector | Python | ★ 25.3K | Compare ↗ |
| #666 | Dao-AILab/flash-attention This Project | Python | ★ 25.3K | |
| #667 | google-ai-edge/gallery | Kotlin | ★ 25.3K | Compare ↗ |
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Frequently Asked Questions
What does flash-attention do? +
Fast and memory-efficient exact attention
Is flash-attention actively maintained in 2026? +
Yes, flash-attention is actively maintained. The latest code push was recorded on Nov 11, 2026 (0 days ago). It holds a calculated Maintenance Health Score of 90/100 (A rating) with 25,279 stars and 1,401 open issues.
What language is flash-attention written in? +
The primary language is Python. Topics include: software.
How many stars does flash-attention have? +
flash-attention has 25,279 stars and 3,217 forks on GitHub.
How does flash-attention rank among GitHub repositories? +
With 25,279 stars, Dao-AILab/flash-attention is ranked #666 globally across all repositories tracked on GitHubRepo and #132 among Python projects.
What license is flash-attention distributed under? +
The repository reports a BSD-3-Clause license. Always verify the repository LICENSE file for legal terms.
