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szellmann/visionaray

A C++-based, cross platform ray tracing library

C++ ◇ c-plus-plus MIT
★444STARS
⑂41FORKS
!4ISSUES
🏆#3,884GLOBAL RANK
🔥2DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for szellmann/visionaray
CSV

Momentum

+11

STARS · LAST 30 DAYS

1

PER DAY

#280

MOST-STARRED C++

Window7 days30 days90 days
Stars gained+7+11+90
Per day111
Forks gained+1+3+10

visionaray gained 11 stars in the last 30 days, about 1 a day, and now has 444. It is about 12 years old and has averaged roughly 37 stars a year. It ranks #280 among C++ repositories and #3,884 across all languages on GitHubRepo.

Trending Record

visionaray has maintained a continuous presence across global trending indexes, peaking at #3251. Below is the 30-day activity profile:

💡 Overview

visionaray is an open-source project written in C++: A C++-based, cross platform ray tracing library.

Engineered for speed, consistency, and developer ease, it solves common hurdles in c-plus-plus, cuda, path-tracing. 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/szellmann/visionaray.git
cd visionaray

⚙ 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

visionaray 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 visionaray 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 visionaray using your package manager: `git clone https://github.com/szellmann/visionaray.git`

2

Initialize your project workspace or configuration file for visionaray.

3

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

4

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

👍 Strengths

Active community backing with 444 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.

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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

szellmann/visionaray is currently ranked #3,884 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#3,878 boshu2/agentops Go ★ 446 Compare ↗
#3,878 jnMetaCode/ai-shortfilm-prompts Python ★ 446 Compare ↗
#3,881 jgarber/redcloth Ragel ★ 445 Compare ↗
#3,881 livekit/client-sdk-swift Swift ★ 445 Compare ↗
#3,881 tamatebako/tebako Rust ★ 445 Compare ↗
#3,884 szellmann/visionaray This Project C++ ★ 444
#3,884 relevance/tarantula Ruby ★ 444 Compare ↗
#3,884 ThomasHabets/arping C ★ 444 Compare ↗
#3,884 kenn-io/kata Go ★ 444 Compare ↗
#3,884 intrinsic-ai/intrinsic-core C++ ★ 444 Compare ↗
#3,889 marcandre/backports Ruby ★ 443 Compare ↗

Frequently Asked Questions

What does visionaray do? +

A C++-based, cross platform ray tracing library

What language is visionaray written in? +

The primary language is C++. Topics include: c-plus-plus, cuda, path-tracing, ray-tracing, ray-tracing-template-library.

Is visionaray actively maintained? +

Yes, the last recorded push was on Sep 27, 2026 with 4 open issues being tracked.

How many stars does visionaray have? +

visionaray has 444 stars and 41 forks on GitHub.

How does visionaray rank among GitHub repositories? +

With 444 stars, szellmann/visionaray is ranked #3,884 globally across all repositories tracked on GitHubRepo and #280 among C++ projects.

What license is visionaray distributed under? +

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

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