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NVIDIA-RTX
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NVIDIA-RTX/NRI

Modular extensible low-level render interface (RHI) with higher level extensions

★474STARS
⑂86FORKS
!14ISSUES
🏆#7,317GLOBAL RANK
🔥4DAYS TRENDING
🚀
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Momentum

+12

STARS · LAST 30 DAYS

1

PER DAY

#569

MOST-STARRED C++

Window7 days30 days90 days
Stars gained+7+12+90
Per day111
Forks gained+1+3+10

NRI gained 12 stars in the last 30 days, about 1 a day, and now has 474. It is about 5 years old and has averaged roughly 95 stars a year. It ranks #569 among C++ repositories and #7,317 across all languages on GitHubRepo.

Trending Record

NRI has maintained a continuous presence across global trending indexes, peaking at #6606. Below is the 30-day activity profile:

💡 Overview

NRI is an open-source project written in C++: Modular extensible low-level render interface (RHI) with higher level extensions.

Engineered for speed, consistency, and developer ease, it solves common hurdles in C++. 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/NVIDIA-RTX/NRI.git
cd NRI

⚙ 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

NRI 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 NRI 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 MIT license.

🚀 Getting Started

1

Install NRI using your package manager: `git clone https://github.com/NVIDIA-RTX/NRI.git`

2

Initialize your project workspace or configuration file for NRI.

3

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

4

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

👍 Strengths

Active community backing with 474 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT 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

NVIDIA-RTX/NRI is currently ranked #7,317 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#7,311 shaarkys/com.xiaomi-miio JavaScript ★ 475 Compare ↗
#7,311 chipsalliance/Surelog C++ ★ 475 Compare ↗
#7,311 Lakr233/ColorfulX Swift ★ 475 Compare ↗
#7,311 The-AI-Republic/pi-dash TypeScript ★ 475 Compare ↗
#7,311 oriveo/oriveo Swift ★ 475 Compare ↗
#7,317 NVIDIA-RTX/NRI This Project C++ ★ 474
#7,317 Growstuff/growstuff Ruby ★ 474 Compare ↗
#7,317 theyosh/TerrariumPI Python ★ 474 Compare ↗
#7,317 w3c/webref JavaScript ★ 474 Compare ↗
#7,317 rr-wfm/MSBuild.Sdk.SqlProj C# ★ 474 Compare ↗
#7,317 livekit/sip Go ★ 474 Compare ↗

Frequently Asked Questions

What does NRI do? +

Modular extensible low-level render interface (RHI) with higher level extensions

What language is NRI written in? +

The primary language is C++. Topics include: software.

Is NRI actively maintained? +

Yes, the last recorded push was on Oct 5, 2026 with 14 open issues being tracked.

How many stars does NRI have? +

NRI has 474 stars and 86 forks on GitHub.

How does NRI rank among GitHub repositories? +

With 474 stars, NVIDIA-RTX/NRI is ranked #7,317 globally across all repositories tracked on GitHubRepo and #569 among C++ projects.

What license is NRI distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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