MrNeRF/LichtFeld-Studio - Open Source PR Review Scorecard

Train, inspect, edit, automate, and export 3D Gaussian Splatting scenes from a single native application.

C-Rank Grade: S (Elite) - 71/100

External PR Merge Rate: 81%

Response Time: 17h

First Timer Success: 79%

Frequently Asked Questions

Is MrNeRF/LichtFeld-Studio welcoming to first-time open-source contributors?

MrNeRF/LichtFeld-Studio has a recorded first-timer success rate of 78.9%. Repositories ranked S typically provide actionable feedback during code reviews and actively nurture new community contributors.

How fast can I expect code review feedback on my pull request?

Maintainers in MrNeRF/LichtFeld-Studio respond to incoming external pull requests in approximately 17.4 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 71.2 C-Rank™ score (S Tier) represent?

The C-Rank™ system evaluates GitHub projects on a 0–100 scale using real data: PR merge rates, review turnaround time, active maintainer presence, and first-time contributor success. A score of 71.2 places MrNeRF/LichtFeld-Studio in the S tier.

What is the external contributor pull request merge rate for MrNeRF/LichtFeld-Studio?

The external contributor pull request merge rate for MrNeRF/LichtFeld-Studio is 80.8%, based on public PR activity from non-core contributors.

Are there Good First Issues available in MrNeRF/LichtFeld-Studio?

MrNeRF/LichtFeld-Studio currently has 3 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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MrNeRF/LichtFeld-Studio

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SElite(71/100)C++

Train, inspect, edit, automate, and export 3D Gaussian Splatting scenes from a single native application.

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AI Maintainer Review Guidelines

Review Persona

Welcoming Community Builder

Warmth Score
8.6/10
Patience Score
8.6/10
Nitpick Rate
35%

Highly welcoming maintainers in MrNeRF/LichtFeld-Studio. Prompt code reviews with positive guidance for new contributors.

Top PR Submission Do's

  • Ensure code complies with the project coding style
  • Keep PRs scoped to a single concern
  • Include context and link to the related issue

Top PR Friction Pitfalls (Don'ts)

  • Do not submit PRs without linking an issue
  • Do not break existing tests without fixing them
  • Do not mix unrelated refactors in a single PR
Response Velocity
17 hours
Standard maintainer review cycle

Average Response Latency

Tracks hours until a maintainer leaves a review, comment, or PR response.

Merge Efficiency
80.8%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
78.9%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
30 core
Highly collaborative maintainer core
Diagnostic Health HUD
80.8%
Merge Gauge
78.9%
1st-Timer
Community Vibe73/100

Embed C-Rank Badge

Show contributors that your repository actively reviews and merges external pull requests.

GetMerged C-Rank badge for MrNeRF/LichtFeld-Studio
[![GetMerged C-Rank](https://getmerged.abhishekco.de/api/badge/MrNeRF/LichtFeld-Studio)](https://getmerged.abhishekco.de/MrNeRF/LichtFeld-Studio?utm_source=github&utm_medium=badge)

Active Good First Issues (3)

View on GitHub

What's wrong Video export can composite four different combinations — meshes alone, splats alone, splats and meshes depth-tested against each other, and split-view — across perspective and orthographic projections. Only the mesh-only perspective combination has been exercised end to end. The splat+mesh combination is the one to worry about: it is the only path where mesh depth is compared against splat depth, and a sign or scale error there would put meshes in front of geometry that should occlude them. It currently has no coverage of any kind. How to fix A headless test that exports a handful of frames from a small fixture scene for each combination and asserts a few known pixels, plus a unit test for the depth comparison itself. linearizeMeshViewDepth is already unit-tested for both projection types and is a good model.

📅 Opened Aug 4, 2026💬 0 comments
Quality: 90/100Contribute

What's wrong Plugins can attach UI to a spot in the interface (a "hook"). The function that removes a hook takes an argument saying which hook to remove — and then ignores it completely. It removes whichever hook was added last. So if plugin A and plugin B both attach something to the same spot, and A unloads, B's UI disappears instead. The code already stores a unique id on every hook for exactly this purpose. Nothing ever reads it. Where src/python/ui_hooks.cpp:53-62: void remove_ui_hook(const std::string& panel, const std::string& section, UIHookCallback /*callback*/) { // <- argument ignored ... if (const auto it = reg.hooks.find(key); it != reg.hooks.end() && !it->second.empty()) { it->second.pop_back(); // <- removes the last one, whoever it is } } The unused id: src/python/ui_hooks.cpp:20 (the id field), assigned at :50 from next_id++. How to fix Make register_ui_hook return the size_t id. Make remove_ui_hoo

📅 Opened Jul 29, 2026💬 0 comments
Quality: 90/100Contribute

We ship 6 themes and a good token system (@{primary}, @{text}, @{alpha(border,0.4)}, @{layered_shadow.4}). But the stylesheets also contain 608 hardcoded colors, and 270 of them are never overridden by any theme rule. Those parts of the UI look exactly the same in Dark, Light, Gruvbox, Nord and both Catppuccin themes. Most of the literals are Catppuccin Mocha values copied into shared files: components.rcss:168 background-color: #89b4fa; /* mocha blue */ components.rcss:194 color: #cdd6f4; /* mocha text */ scene_tree.rcss:1 body { color: #cdd6f4 } python_console_panel.rcss is hardcoded to a different dark palette again (rgb(30, 30, 30), rgb(229, 229, 229)). Where it is worst file not themed / hardcoded has a .theme.rcss? asset_manager.rcss 90 / 156 yes video_extractor.rcss 48 / 48 no python_console_panel.rcss 36 / 79 yes sequencer.rcss 23 / 33 yes histogram_panel.rcss 17 / 54 yes url_import_panel.rcss 15 / 15 no components.rcss 12 / 132 yes

📅 Opened Jul 27, 2026💬 0 comments
Quality: 90/100Contribute
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Contributor Compatibility & Review Speed Analysis for MrNeRF/LichtFeld-Studio

When evaluating whether to contribute to MrNeRF/LichtFeld-Studio, response velocity and maintainer engagement are crucial. GetMerged continuously tracks pull request trajectories, first-comment latency, and code review rounds to help developers avoid submitting pull requests to backlogged repositories.

Currently, maintainers of MrNeRF/LichtFeld-Studio acknowledge new external contributions in approximately 17 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 80.8% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to MrNeRF/LichtFeld-Studio

01

Is MrNeRF/LichtFeld-Studio welcoming to first-time open-source contributors?

MrNeRF/LichtFeld-Studio has a recorded first-timer success rate of 78.9%. Repositories ranked Elite typically provide actionable feedback during code reviews and actively nurture new community contributors.

02

How fast can I expect code review feedback on my pull request?

The initial maintainer response time averages ~17 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 71.2 C-Rank™ score represent?

The C-Rank™ index scores repositories on a 0 to 100 scale using an objective formula: external PR merge rates, initial response speed, active maintainer count, and first-time contributor retention. A score of 71.2 places MrNeRF/LichtFeld-Studio in the Elite tier.

04

What is the external contributor pull request merge rate for MrNeRF/LichtFeld-Studio?

The external pull request merge rate is 80.8%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.

05

Are there beginner Good First Issues open in MrNeRF/LichtFeld-Studio?

Yes, MrNeRF/LichtFeld-Studio currently has 3 active issue(s) tagged with beginner-friendly labels. You can inspect these directly from the repository issues tab.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for MrNeRF/LichtFeld-Studio are automatically retrieved via the public GitHub API and recalculated daily. Insider pull requests submitted by repository owners or organization members are excluded from merge rate calculations to preserve objective external contributor statistics.