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larq/compute-engine

Highly optimized inference engine for Binarized Neural Networks

C++ ◇ aarch32 Apache-2.0
★259STARS
⑂35FORKS
!20ISSUES
🏆#8,574GLOBAL RANK
🔥2DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#650

MOST-STARRED C++

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

compute-engine gained 10 stars in the last 30 days, about 1 a day, and now has 259. It is about 7 years old and has averaged roughly 37 stars a year. It ranks #650 among C++ repositories and #8,574 across all languages on GitHubRepo.

Trending Record

compute-engine has maintained a continuous presence across global trending indexes, peaking at #8135. Below is the 30-day activity profile:

💡 Overview

compute-engine is an open-source project written in C++: Highly optimized inference engine for Binarized Neural Networks.

Engineered for speed, consistency, and developer ease, it solves common hurdles in aarch32, aarch64, android. 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 C++ 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
$ git clone https://github.com/larq/compute-engine.git
cd compute-engine

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

C++20 compliant compiler (GCC 11+, Clang 13+, MSVC)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

compute-engine coordinates its core functionality through a modular C++ 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 compute-engine into C++ 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 compute-engine using your package manager: `git clone https://github.com/larq/compute-engine.git`

2

Initialize your project workspace or configuration file for compute-engine.

3

Import compute-engine into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 259 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in C++ 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 C++ 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.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

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

🏆 Nearby in the Rankings

larq/compute-engine is currently ranked #8,574 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#8,560 OrienteerBAP/Orienteer Java ★ 260 Compare ↗
#8,560 Fody/Anotar C# ★ 260 Compare ↗
#8,560 espen/balder HTML ★ 260 Compare ↗
#8,560 dbt-msft/dbt-sqlserver Python ★ 260 Compare ↗
#8,560 DenserMeerkat/June Kotlin ★ 260 Compare ↗
#8,574 larq/compute-engine This Project C++ ★ 259
#8,574 xing-shuyin/pi-web-ui JavaScript ★ 259 Compare ↗
#8,574 xberg-io/liter-llm Rust ★ 259 Compare ↗
#8,574 gabriel/GHKit Objective-C ★ 259 Compare ↗
#8,574 freesteph/cucumber.el Emacs Lisp ★ 259 Compare ↗
#8,574 kenn/active_flag Ruby ★ 259 Compare ↗

Frequently Asked Questions

What does compute-engine do? +

Highly optimized inference engine for Binarized Neural Networks

What language is compute-engine written in? +

The primary language is C++. Topics include: aarch32, aarch64, android, armv7, armv8.

Is compute-engine actively maintained? +

Yes, the last recorded push was on Oct 5, 2026 with 20 open issues being tracked.

How many stars does compute-engine have? +

compute-engine has 259 stars and 35 forks on GitHub.

How does compute-engine rank among GitHub repositories? +

With 259 stars, larq/compute-engine is ranked #8,574 globally across all repositories tracked on GitHubRepo and #650 among C++ projects.

What license is compute-engine distributed under? +

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

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