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jjjkkkjjj/Matft

Numpy-like library in swift. (Multi-dimensional Array, ndarray, matrix and vector library)

Swift ◇ complex-numbers BSD-3-Clause
★147STARS
⑂23FORKS
!3ISSUES
🏆#15,486GLOBAL RANK
🔥24DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#710

MOST-STARRED Swift

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

Matft gained 10 stars in the last 30 days, about 1 a day, and now has 147. It is about 7 years old and has averaged roughly 21 stars a year. It ranks #710 among Swift repositories and #15,486 across all languages on GitHubRepo.

Trending Record

Matft has maintained a continuous presence across global trending indexes, peaking at #4153. Below is the 30-day activity profile:

💡 Overview

Matft is an open-source project written in Swift: Numpy-like library in swift. (Multi-dimensional Array, ndarray, matrix and vector library).

Engineered for speed, consistency, and developer ease, it solves common hurdles in complex-numbers, image, image-processing. 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 Swift 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/jjjkkkjjj/Matft.git
cd Matft

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Swift 5.9+ / Xcode 15+ (macOS/Linux)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

Matft coordinates its core functionality through a modular Swift 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 Matft into Swift 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-3-Clause license.

🚀 Getting Started

1

Install Matft using your package manager: `git clone https://github.com/jjjkkkjjj/Matft.git`

2

Initialize your project workspace or configuration file for Matft.

3

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

4

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

👍 Strengths

Active community backing with 147 GitHub stars and verified adoption.
Permissive open-source distribution under the BSD-3-Clause license.
Built in Swift 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 Swift 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

A
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👥 Who Should Use This

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

🏆 Nearby in the Rankings

jjjkkkjjj/Matft is currently ranked #15,486 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#15,440 meta-models/meta-model-cookbook Python ★ 148 Compare ↗
#15,440 UiPath/coder_eval Python ★ 148 Compare ↗
#15,440 jazzenchen/agent-hud-open Swift ★ 148 Compare ↗
#15,440 HuangZeLinCute/CourtMind Python ★ 148 Compare ↗
#15,440 iamyoki/qwen-image-2.1-skill Python ★ 148 Compare ↗
#15,486 jjjkkkjjj/Matft This Project Swift ★ 147
#15,486 glenngillen/semantic_form_builder Ruby ★ 147 Compare ↗
#15,486 defunkt/lyndon Ruby ★ 147 Compare ↗
#15,486 280north/jake JavaScript ★ 147 Compare ↗
#15,486 jonathangeiger/kohana-jelly PHP ★ 147 Compare ↗
#15,486 aws/aws-sdk-net C# ★ 147 Compare ↗
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Frequently Asked Questions

What does Matft do? +

Numpy-like library in swift. (Multi-dimensional Array, ndarray, matrix and vector library)

What language is Matft written in? +

The primary language is Swift. Topics include: complex-numbers, image, image-processing, math, matrix-library.

Is Matft actively maintained? +

Yes, the last recorded push was on Sep 27, 2026 with 3 open issues being tracked.

How many stars does Matft have? +

Matft has 147 stars and 23 forks on GitHub.

How does Matft rank among GitHub repositories? +

With 147 stars, jjjkkkjjj/Matft is ranked #15,486 globally across all repositories tracked on GitHubRepo and #710 among Swift projects.

What license is Matft distributed under? +

The repository reports a BSD-3-Clause license. Always verify the repository LICENSE file for legal terms.

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