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mtex-toolbox
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mtex-toolbox/mtex

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

MATLAB ◇ crystallography GPL-2.0
★380STARS
⑂210FORKS
!23ISSUES
🏆#5,862GLOBAL RANK
🔥1DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1

MOST-STARRED MATLAB

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+4+11

mtex gained 10 stars in the last 30 days, about 1 a day, and now has 380. It is about 12 years old and has averaged roughly 32 stars a year. It ranks #1 among MATLAB repositories and #5,862 across all languages on GitHubRepo.

Trending Record

mtex has maintained a continuous presence across global trending indexes, peaking at #5678. Below is the 30-day activity profile:

💡 Overview

mtex is an open-source project written in MATLAB: MTEX is a free Matlab toolbox for quantitative texture analysis. Homepage:.

Engineered for speed, consistency, and developer ease, it solves common hurdles in crystallography, ebsd, 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/mtex-toolbox/mtex.git
cd mtex

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

MATLAB environment and standard tooling

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

mtex 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 mtex 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 GPL-2.0 license.

🚀 Getting Started

1

Install mtex using your package manager: `git clone https://github.com/mtex-toolbox/mtex.git`

2

Initialize your project workspace or configuration file for mtex.

3

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

4

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

👍 Strengths

Active community backing with 380 GitHub stars and verified adoption.
Permissive open-source distribution under the GPL-2.0 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

G
dgleich/gaimc ★ 45 MATLAB

Graph Algorithms in Matlab Code

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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

mtex-toolbox/mtex is currently ranked #5,862 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#5,855 Traewelling/traewelling PHP ★ 381 Compare ↗
#5,855 coin3d/coin C++ ★ 381 Compare ↗
#5,855 jamesturk/django-honeypot Python ★ 381 Compare ↗
#5,855 sudara/alonetone Ruby ★ 381 Compare ↗
#5,855 physiclaw/PhysiClaw Python ★ 381 Compare ↗
#5,862 mtex-toolbox/mtex This Project MATLAB ★ 380
#5,862 qgis/qwc2 JavaScript ★ 380 Compare ↗
#5,862 labsai/EDDI Java ★ 380 Compare ↗
#5,862 maxfischer2781/asyncstdlib Python ★ 380 Compare ↗
#5,862 usualtool/framework PHP ★ 380 Compare ↗
#5,862 auroramod/h1-mod C++ ★ 380 Compare ↗

Frequently Asked Questions

What does mtex do? +

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

What language is mtex written in? +

The primary language is MATLAB. Topics include: crystallography, ebsd, matlab, mtex, orientation-maps.

Is mtex actively maintained? +

Yes, the last recorded push was on Oct 1, 2026 with 23 open issues being tracked.

How many stars does mtex have? +

mtex has 380 stars and 210 forks on GitHub.

How does mtex rank among GitHub repositories? +

With 380 stars, mtex-toolbox/mtex is ranked #5,862 globally across all repositories tracked on GitHubRepo and #1 among MATLAB projects.

What license is mtex distributed under? +

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

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