Hkshoonya/nvidia-broadcast-linux - Open Source PR Review Scorecard

NV Broadcast — Unofficial NVIDIA Broadcast for Linux and other OS. AI-powered virtual camera with background removal, blur, replacement, video enhancement, and noise cancellation. GPU accelerated. Open source.

C-Rank Grade: S (Elite) - 72/100

External PR Merge Rate: 73%

Response Time: <1h

First Timer Success: 100%

Frequently Asked Questions

Is Hkshoonya/nvidia-broadcast-linux welcoming to first-time open-source contributors?

Hkshoonya/nvidia-broadcast-linux has a recorded first-timer success rate of 100.0%. 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 Hkshoonya/nvidia-broadcast-linux respond to incoming external pull requests in approximately 0.6 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 71.9 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 71.9 places Hkshoonya/nvidia-broadcast-linux in the S tier.

What is the external contributor pull request merge rate for Hkshoonya/nvidia-broadcast-linux?

The external contributor pull request merge rate for Hkshoonya/nvidia-broadcast-linux is 72.7%, based on public PR activity from non-core contributors.

Are there Good First Issues available in Hkshoonya/nvidia-broadcast-linux?

Hkshoonya/nvidia-broadcast-linux currently has 1 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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Hkshoonya/nvidia-broadcast-linuxS•Elite138
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Hkshoonya/nvidia-broadcast-linux

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Active (30d)S•Elite(72/100)Python

NV Broadcast — Unofficial NVIDIA Broadcast for Linux and other OS. AI-powered virtual camera with background removal, blur, replacement, video enhancement, and noise cancellation. GPU accelerated. Open source.

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AI Maintainer Review Guidelines

Review Persona

Active Open-Source Maintainer

Warmth Score
7.8/10
Patience Score
8.2/10
Nitpick Rate
20%

Active maintainer team in Hkshoonya/nvidia-broadcast-linux welcoming community pull requests and bug fixes.

Top PR Submission Do's

  • •Ensure code complies with repository style conventions
  • •Keep PRs focused and well-documented

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit unlinked PRs without context
  • •Do not break existing automated test suites
Response Velocity
<1 hour
⚡ Fast reviewer response

Average Response Latency

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

Merge Efficiency
72.7%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
100.0%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
2 core
Small core review team
Diagnostic Health HUD
72.7%
Merge Gauge
100.0%
1st-Timer
Community Vibe89/100

Embed C-Rank Badge

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

GetMerged C-Rank badge for Hkshoonya/nvidia-broadcast-linux
[![GetMerged C-Rank](https://getmerged.abhishekco.de/api/badge/Hkshoonya/nvidia-broadcast-linux)](https://getmerged.abhishekco.de/Hkshoonya/nvidia-broadcast-linux?utm_source=github&utm_medium=badge)

Active Good First Issues (1)

View on GitHub

Goal Track the work required to make Flatpak a supported NV Broadcast distribution path. This follows the Flatpak item in #3. The initial implementation is an x86_64 CPU development baseline; it does not publish to Flathub or add a release artifact. Development baseline GNOME Platform/SDK 50 with Python 3.13 Hash-pinned Python source graph and CPU ONNX Runtime MediaPipe, RNNoise, and faster-whisper meeting support Flatpak guards for immutable runtime changes and host-only systemd, v4l2loopback, and Firefox operations Scoped, digest-pinned CI for packaging changes and manual pre-release checks Verification completed on 2026-09-01: Full manifest build, export, local-repository install, and flatpak run smoke test passed 628 native-policy tests passed with 8 expected skips; 14 Flatpak-policy tests passed pip check, Bandit high-severity scan, and pip-audit passed; pip-audit reported no known third-party Python vulnerabilities flatpak-builder-lint manifest and AppStream lint passed Build-

📅 Opened Sep 1, 2026💬 4 comments
Quality: 65/100Contribute
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Contributor Compatibility & Review Speed Analysis for Hkshoonya/nvidia-broadcast-linux

When evaluating whether to contribute to Hkshoonya/nvidia-broadcast-linux, 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 Hkshoonya/nvidia-broadcast-linux acknowledge new external contributions in approximately <1 hour. Out of all submitted pull requests from non-core authors in the last 180-day window, 72.7% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to Hkshoonya/nvidia-broadcast-linux

01

Is Hkshoonya/nvidia-broadcast-linux welcoming to first-time open-source contributors?

Hkshoonya/nvidia-broadcast-linux has a recorded first-timer success rate of 100.0%. 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 ~<1 hour. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 71.9 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 71.9 places Hkshoonya/nvidia-broadcast-linux in the Elite tier.

04

What is the external contributor pull request merge rate for Hkshoonya/nvidia-broadcast-linux?

The external pull request merge rate is 72.7%. 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 Hkshoonya/nvidia-broadcast-linux?

Yes, Hkshoonya/nvidia-broadcast-linux currently has 1 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 Hkshoonya/nvidia-broadcast-linux 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.