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dgleich/gaimc

Graph Algorithms in Matlab Code

MATLAB ◇ developer-tools BSD-2-Clause
★45STARS
⑂21FORKS
!2ISSUES
🏆#13,208GLOBAL RANK
🔥9DAYS TRENDING
🚀
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+10

STARS · LAST 30 DAYS

1

PER DAY

#2

MOST-STARRED MATLAB

Window7 days30 days90 days
Stars gained+0+10+90
Per day111
Forks gained+0+3+10

gaimc gained 10 stars in the last 30 days, about 1 a day, and now has 45. It is about 18 years old and has averaged roughly 3 stars a year. It ranks #2 among MATLAB repositories and #13,208 across all languages on GitHubRepo.

Trending Record

gaimc has maintained a continuous presence across global trending indexes, peaking at #6156. Below is the 30-day activity profile:

💡 Overview

gaimc is an open-source project written in MATLAB: Graph Algorithms in Matlab Code.

Engineered for speed, consistency, and developer ease, it solves common hurdles in MATLAB. 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 MATLAB 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/dgleich/gaimc.git
cd gaimc

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

MATLAB environment and standard tooling

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

gaimc coordinates its core functionality through a modular MATLAB 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 gaimc into MATLAB 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 BSD-2-Clause license.

🚀 Getting Started

1

Install gaimc using your package manager: `git clone https://github.com/dgleich/gaimc.git`

2

Initialize your project workspace or configuration file for gaimc.

3

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

4

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

👍 Strengths

Active community backing with 45 GitHub stars and verified adoption.
Permissive open-source distribution under the BSD-2-Clause license.
Built in MATLAB 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 MATLAB 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

M
mtex-toolbox/mtex ★ 380 MATLAB

MTEX is a free Matlab toolbox for quantitative texture analysis. Homepage:

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S
ezander/sglib ★ 23 MATLAB

A Matlab/Octave toolbox for stochastic Galerkin methods

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👥 Who Should Use This

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

🏆 Nearby in the Rankings

dgleich/gaimc is currently ranked #13,208 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#13,172 Mondo-Robotics/open-beni TypeScript ★ 46 Compare ↗
#13,172 rusmanadodi2598/pannelAI Go ★ 46 Compare ↗
#13,172 sudiptacmd/homedroid Kotlin ★ 46 Compare ↗
#13,172 pearlxcore/PS5PKGTool C# ★ 46 Compare ↗
#13,172 SibtainOcn/Hazel Kotlin ★ 46 Compare ↗
#13,208 dgleich/gaimc This Project MATLAB ★ 45
#13,208 ngthaihoc/CMP30HXmodtoGEN2 Go ★ 45 Compare ↗
#13,208 clintonimaroo/quietglass Swift ★ 45 Compare ↗
#13,208 maddox/imdb Ruby ★ 45 Compare ↗
#13,208 schacon/git-ruby Ruby ★ 45 Compare ↗
#13,208 dfischer/sexy_scaffold Ruby ★ 45 Compare ↗

Frequently Asked Questions

What does gaimc do? +

Graph Algorithms in Matlab Code

What language is gaimc written in? +

The primary language is MATLAB. Topics include: software.

Is gaimc actively maintained? +

Yes, the last recorded push was on Sep 30, 2021 with 2 open issues being tracked.

How many stars does gaimc have? +

gaimc has 45 stars and 21 forks on GitHub.

How does gaimc rank among GitHub repositories? +

With 45 stars, dgleich/gaimc is ranked #13,208 globally across all repositories tracked on GitHubRepo and #2 among MATLAB projects.

What license is gaimc distributed under? +

The repository reports a BSD-2-Clause license. Always verify the repository LICENSE file for legal terms.

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