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fla-org/flash-linear-attention

๐Ÿš€ Efficient implementations for emerging model architectures

โ˜…5.8KSTARS
โ‘‚726FORKS
!109ISSUES
๐Ÿ†#1,007GLOBAL RANK
๐Ÿ”ฅ3DAYS TRENDING
๐Ÿš€
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Star History

Continuous Observations
Interactive star growth chart for fla-org/flash-linear-attention
CSV

Momentum

+145

STARS ยท LAST 30 DAYS

5

PER DAY

#159

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+35+145+450
Per day555
Forks gained+4+15+36

flash-linear-attention gained 145 stars in the last 30 days, about 5 a day, and now has 5.8K. It is about 3 years old and has averaged roughly 1.9K stars a year. It ranks #159 among Python repositories and #1,007 across all languages on GitHubRepo.

Trending Record

flash-linear-attention has maintained a continuous presence across global trending indexes, peaking at #1252. Below is the 30-day activity profile:

๐Ÿ’ก Overview

flash-linear-attention is an open-source project written in Python: ๐Ÿš€ Efficient implementations for emerging model architectures.

Engineered for speed, consistency, and developer ease, it solves common hurdles in large-language-models, machine-learning-systems, natural-language-processing. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

โšก 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.

๐Ÿ“ฅ Installation

terminal
$ pip install flash-linear-attention

โš™ System Requirements

Platforms

  • โ€ข macOS
  • โ€ข Linux
  • โ€ข Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

๐Ÿง  How It Works

flash-linear-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.

๐ŸŽฏ Production Use Cases

Production System Integration

Embed flash-linear-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 MIT license.

๐Ÿš€ Getting Started

1

Install flash-linear-attention using your package manager: `pip install flash-linear-attention`

2

Initialize your project workspace or configuration file for flash-linear-attention.

3

Import flash-linear-attention into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `flash-linear-attention --help` to verify successful setup.

๐Ÿ‘ Strengths

Active community backing with 5,793 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT 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.

โš ๏ธ 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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๐Ÿ‘ฅ Who Should Use This

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

๐Ÿ† Nearby in the Rankings

fla-org/flash-linear-attention is currently ranked #1,007 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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Frequently Asked Questions

What does flash-linear-attention do? +

๐Ÿš€ Efficient implementations for emerging model architectures

What language is flash-linear-attention written in? +

The primary language is Python. Topics include: large-language-models, machine-learning-systems, natural-language-processing, sequence-modeling.

Is flash-linear-attention actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 109 open issues being tracked.

How many stars does flash-linear-attention have? +

flash-linear-attention has 5,793 stars and 726 forks on GitHub.

How does flash-linear-attention rank among GitHub repositories? +

With 5,793 stars, fla-org/flash-linear-attention is ranked #1,007 globally across all repositories tracked on GitHubRepo and #159 among Python projects.

What license is flash-linear-attention distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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