openmoonray/openmoonray

MoonRay is an open-source, award-winning, state-of-the-art production path tracing renderer, initially developed at DreamWorks and an active member project...

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Summary Information

Updated 39 minutes ago
Added to GitGenius on September 14th, 2026
Created on March 14th, 2023
Open Issues & Pull Requests: 90 (+0)
GitHub issues: Enabled
Number of forks: 316
Total Stargazers: 4,727 (+0)
Total Subscribers: 79 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 26.9 hours
Mean response time: 22.7 days
90th percentile: 70.1 days
Tracked items: 44

Most active contributors

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How this project is maintained

100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Three people close 74% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 31
New in 7 days: 3
Closed in 7 days: 0
Avg open age: 379 days
Stale 30+ days: 22
Stale 90+ days: 21

Recent activity

Opened in 7 days: 3
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • good first issue (7)
  • help wanted (7)
  • enhancement (5)
  • bug (1)
  • build/CI (1)

Detailed Description

OpenMoonRay is a production path-tracing renderer that efficiently generates images for animation, visual effects, and other applications.

The tool solves the problem of rendering high-quality images for professional animation and visual effects pipelines by implementing a physically based path-tracing approach. It provides an extensive library of production-tested, physically based materials and integrates with industry standards through a USD Hydra render delegate. The renderer supports both local and distributed rendering across multiple machines and cloud environments, accommodating both interactive and batch workflows. It runs on CPU and hybrid GPU hardware, allowing flexibility in hardware deployment.

MoonRay suits studios and production facilities that need a renderer proven in professional feature film animation pipelines. It is particularly valuable for teams already invested in USD workflows, as the Hydra delegate provides native integration. The tool includes specialized capabilities for production environments: regression testing support through dedicated tools, performance monitoring via a render profile viewer, and additional utilities for production workflows. Organizations seeking an open-source alternative to proprietary renderers with demonstrated real-world use at scale will find this relevant.

The project maintains active engagement with its community through a discussion forum and Academy Software Foundation Slack channel. Development follows a structured contribution process with published guidelines for external contributors. The tool includes comprehensive documentation covering user reference materials and technical details. The project provides regular releases and maintains a regression testing framework alongside performance profiling capabilities, indicating ongoing attention to code quality and optimization.