๐ Efficient implementations for emerging model architectures
โก Executive Summary & Quick Facts
Authoritative Sourceflash-linear-attention is flash-linear-attention is an open-source project written in Python: ๐ Efficient implementations for emerging model architectures.. It provides a free, self-hosted open-source alternative to Linear.
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), fla-org/flash-linear-attention has accumulated 5,969 GitHub stars and 780 forks. It is written in Python, licensed under MIT, and ranks #2,587 globally. It is actively maintained with the latest commit recorded on Oct 23, 2026.”
| Repository | fla-org/flash-linear-attention โ |
|---|---|
| Primary Category | large language models |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | โ 6K stars ยท โ 780 forks ยท #2,587 globally |
| Maintenance | โ Active (Last commit: Oct 23, 2026) ยท 124 open issues |
| Replaces SaaS | Open Source Linear Alternative ($8โ$14/user/month) โ |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
๐ก๏ธ Repository Maintenance & Health Audit (2026)
Health Score: 92/100 ยท Grade AYes, flash-linear-attention is actively maintained. Continuous telemetry recorded the last code commit on Oct 23, 2026 (21 days ago). Supported by 5,969 stars and 780 community forks, this repository holds a calculated health index of 92/100, reflecting regular maintenance (21 days ago) and healthy issue cadence.
Star History
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+127
STARS ยท LAST 30 DAYS
4
PER DAY
#413
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +127 | +360 |
| Per day | 1 | 4 | 4 |
| Forks gained | +0 | +29 | +39 |
flash-linear-attention gained 127 stars in the last 30 days, about 4 a day, and now has 6K. It is about 3 years old and has averaged roughly 2K stars a year. It ranks #413 among Python repositories and #2,587 across all languages on GitHubRepo.
Trending Record
42
DAYS ON TRENDING
#550
BEST RANK
Sep 26, 2026
FIRST APPEARANCE
Active
STATUS TODAY
flash-linear-attention has maintained a continuous presence across global trending indexes, peaking at #550. Below is the 30-day activity profile:
๐ก Overview
flash-linear-attention is an open-source project written in Python: ๐ 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.
โก 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.
๐ฅ Installation
$ pip install flash-linear-attentionโ System Requirements
Platforms
- โข macOS
- โข Linux
- โข Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
๐ง 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.
๐ฏ 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.
๐ Getting Started
Install flash-linear-attention using your package manager: `pip install flash-linear-attention`
Initialize your project workspace or configuration file for flash-linear-attention.
Import flash-linear-attention into your codebase or invoke it directly from your terminal.
Execute your test suite or run `flash-linear-attention --help` to verify successful setup.
๐ Strengths
โ ๏ธ Considerations
โ Alternatives & Direct Competitors
๐ฅ Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
๐ Nearby in the Rankings
fla-org/flash-linear-attention is currently ranked #2,587 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? +
๐ Efficient implementations for emerging model architectures
Is flash-linear-attention actively maintained in 2026? +
Yes, flash-linear-attention is actively maintained. The latest code push was recorded on Oct 23, 2026 (21 days ago). It holds a calculated Maintenance Health Score of 92/100 (A rating) with 5,969 stars and 124 open issues.
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.
How many stars does flash-linear-attention have? +
flash-linear-attention has 5,969 stars and 780 forks on GitHub.
How does flash-linear-attention rank among GitHub repositories? +
With 5,969 stars, fla-org/flash-linear-attention is ranked #2,587 globally across all repositories tracked on GitHubRepo and #413 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.
