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NandhaKishorM
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NandhaKishorM/laya

Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.

Python ◇ calibration Apache-2.0
★26.4KSTARS
⑂2.3KFORKS
!221ISSUES
🏆#352GLOBAL RANK
🔥6DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for NandhaKishorM/laya
CSV

Momentum

+660

STARS · LAST 30 DAYS

22

PER DAY

#73

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+154+660+2K
Per day222222
Forks gained+11+46+115

laya gained 660 stars in the last 30 days, about 22 a day, and now has 26.4K. It is about 1 year old and has averaged roughly 26.4K stars a year. It ranks #73 among Python repositories and #352 across all languages on GitHubRepo.

Trending Record

laya has maintained a continuous presence across global trending indexes, peaking at #1. Below is the 30-day activity profile:

💡 Overview

laya is an open-source project written in Python: Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.

Engineered for speed, consistency, and developer ease, it solves common hurdles in calibration, classification, decision-model. 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
$ python -m pip install laya

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

laya 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 laya 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

1

Install laya using your package manager: `python -m pip install laya`

2

Initialize your project workspace or configuration file for laya.

3

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

4

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

👍 Strengths

Active community backing with 22,394 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

NandhaKishorM/laya is currently ranked #352 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#347 GraphiteEditor/Graphite Rust ★ 27.4K Compare ↗
#348 badges/shields JavaScript ★ 27.2K Compare ↗
#349 tree-sitter/tree-sitter Rust ★ 27.1K Compare ↗
#350 OpenAPITools/openapi-generator Java ★ 26.8K Compare ↗
#351 jenkinsci/jenkins Java ★ 26.6K Compare ↗
#352 NandhaKishorM/laya This Project Python ★ 26.4K
#353 apache/flink Java ★ 26.4K Compare ↗
#354 NixOS/nixpkgs Nix ★ 26.3K Compare ↗
#355 vapor/vapor Swift ★ 26.2K Compare ↗
#356 icsharpcode/ILSpy C# ★ 26.2K Compare ↗
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Frequently Asked Questions

What does laya do? +

Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.

What language is laya written in? +

The primary language is Python. Topics include: calibration, classification, decision-model, huggingface, jev.

Is laya actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 221 open issues being tracked.

How many stars does laya have? +

laya has 26,418 stars and 2,295 forks on GitHub.

How does laya rank among GitHub repositories? +

With 26,418 stars, NandhaKishorM/laya is ranked #352 globally across all repositories tracked on GitHubRepo and #73 among Python projects.

What license is laya distributed under? +

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

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