Kernel Library for Large Headdim Attention (64~1024, BF16/FP8/FP4), 1.5x~15x↑ vs PyTorch SDPA.
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+10
STARS · LAST 30 DAYS
1
PER DAY
#1,350
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
ffpa-attn gained 10 stars in the last 30 days, about 1 a day, and now has 340. It is about 2 years old and has averaged roughly 170 stars a year. It ranks #1,350 among Python repositories and #10,507 across all languages on GitHubRepo.
Trending Record
6
DAYS ON TRENDING
#9571
BEST RANK
Oct 13, 2026
FIRST APPEARANCE
Active
STATUS TODAY
ffpa-attn has maintained a continuous presence across global trending indexes, peaking at #9571. Below is the 30-day activity profile:
💡 Overview
ffpa-attn is an open-source project written in Python: Kernel Library for Large Headdim Attention (64~1024, BF16/FP8/FP4), 1.5x~15x↑ vs PyTorch SDPA.
Engineered for speed, consistency, and developer ease, it solves common hurdles in flash-attention, fp4, fp8. 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 ffpa-attn⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
ffpa-attn 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 ffpa-attn 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 Apache-2.0 license.
🚀 Getting Started
Install ffpa-attn using your package manager: `pip install ffpa-attn`
Initialize your project workspace or configuration file for ffpa-attn.
Import ffpa-attn into your codebase or invoke it directly from your terminal.
Execute your test suite or run `ffpa-attn --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
vipshop/ffpa-attn is currently ranked #10,507 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #10,496 | snowflakedb/snowpark-python | Python | ★ 341 | Compare ↗ |
| #10,496 | docling-project/docling-parse | C++ | ★ 341 | Compare ↗ |
| #10,496 | iplocate/free-proxy-list | — | ★ 341 | Compare ↗ |
| #10,496 | CodingWonders/MicroWin | C# | ★ 341 | Compare ↗ |
| #10,496 | wilsonglasser/oryxis | Rust | ★ 341 | Compare ↗ |
| #10,507 | vipshop/ffpa-attn This Project | Python | ★ 340 | |
| #10,507 | wycats/merb | Ruby | ★ 340 | Compare ↗ |
| #10,507 | alphagov/govuk-prototype-kit | JavaScript | ★ 340 | Compare ↗ |
| #10,507 | AzureAD/microsoft-authentication-library-for-java | Java | ★ 340 | Compare ↗ |
| #10,507 | brefphp/laravel-bridge | PHP | ★ 340 | Compare ↗ |
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Frequently Asked Questions
What does ffpa-attn do? +
Kernel Library for Large Headdim Attention (64~1024, BF16/FP8/FP4), 1.5x~15x↑ vs PyTorch SDPA.
What language is ffpa-attn written in? +
The primary language is Python. Topics include: flash-attention, fp4, fp8, sage-attention.
Is ffpa-attn actively maintained? +
Yes, the last recorded push was on Oct 13, 2026 with 5 open issues being tracked.
How many stars does ffpa-attn have? +
ffpa-attn has 340 stars and 28 forks on GitHub.
How does ffpa-attn rank among GitHub repositories? +
With 340 stars, vipshop/ffpa-attn is ranked #10,507 globally across all repositories tracked on GitHubRepo and #1,350 among Python projects.
What license is ffpa-attn distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
