An efficient C++20 GPU numerical computing library with Python-like syntax
⚡ Executive Summary & Quick Facts
Authoritative SourceMatX is MatX is an open-source project written in C++: An efficient C++20 GPU numerical computing library with Python-like syntax..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), NVIDIA/MatX has accumulated 1,450 GitHub stars and 131 forks. It is written in C++, licensed under BSD-3-Clause, and ranks #5,885 globally. It is actively maintained with the latest commit recorded on Oct 21, 2026.”
| Repository | NVIDIA/MatX ↗ |
|---|---|
| Primary Category | cuda |
| Language & Stack | C++ |
| Software License | BSD-3-Clause |
| Community Traction | ★ 1.5K stars · ⑂ 131 forks · #5,885 globally |
| Maintenance | ● Active (Last commit: Oct 21, 2026) · 18 open issues |
| Target Audience | Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 97/100 · Grade A+Yes, MatX is actively maintained. Continuous telemetry recorded the last code commit on Oct 21, 2026 (9 days ago). Supported by 1,450 stars and 131 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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+36
STARS · LAST 30 DAYS
1
PER DAY
#470
MOST-STARRED C++
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +36 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
MatX gained 36 stars in the last 30 days, about 1 a day, and now has 1.5K. It is about 5 years old and has averaged roughly 290 stars a year. It ranks #470 among C++ repositories and #5,885 across all languages on GitHubRepo.
Trending Record
10
DAYS ON TRENDING
#7412
BEST RANK
Oct 19, 2026
FIRST APPEARANCE
Active
STATUS TODAY
MatX has maintained a continuous presence across global trending indexes, peaking at #7412. Below is the 30-day activity profile:
💡 Overview
MatX is an open-source project written in C++: An efficient C++20 GPU numerical computing library with Python-like syntax.
Engineered for speed, consistency, and developer ease, it solves common hurdles in cuda, gpgpu, gpu. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in C++ for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ git clone https://github.com/NVIDIA/MatX.git
cd MatX⚙ 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
MatX 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 MatX 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 BSD-3-Clause license.
🚀 Getting Started
Install MatX using your package manager: `git clone https://github.com/NVIDIA/MatX.git`
Initialize your project workspace or configuration file for MatX.
Import MatX into your codebase or invoke it directly from your terminal.
Execute your test suite or run `MatX --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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
NVIDIA/MatX is currently ranked #5,885 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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Frequently Asked Questions
What does MatX do? +
An efficient C++20 GPU numerical computing library with Python-like syntax
Is MatX actively maintained in 2026? +
Yes, MatX is actively maintained. The latest code push was recorded on Oct 21, 2026 (9 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 1,450 stars and 18 open issues.
What language is MatX written in? +
The primary language is C++. Topics include: cuda, gpgpu, gpu, gpu-computing, hpc.
How many stars does MatX have? +
MatX has 1,450 stars and 131 forks on GitHub.
How does MatX rank among GitHub repositories? +
With 1,450 stars, NVIDIA/MatX is ranked #5,885 globally across all repositories tracked on GitHubRepo and #470 among C++ projects.
What license is MatX distributed under? +
The repository reports a BSD-3-Clause license. Always verify the repository LICENSE file for legal terms.
