shm11C3/HardwareVisualizer - Open Source PR Review Scorecard

A cross-platform hardware monitor with real-time metrics, local history, and customizable dashboards.

C-Rank Grade: A (Welcoming) - 56/100

External PR Merge Rate: 83%

Response Time: 6d

First Timer Success: 100%

Frequently Asked Questions

Is shm11C3/HardwareVisualizer welcoming to first-time open-source contributors?

shm11C3/HardwareVisualizer has a recorded first-timer success rate of 100.0%. Repositories ranked A 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 shm11C3/HardwareVisualizer respond to incoming external pull requests in approximately 139.4 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 55.5 C-Rank™ score (A 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 55.5 places shm11C3/HardwareVisualizer in the A tier.

What is the external contributor pull request merge rate for shm11C3/HardwareVisualizer?

The external contributor pull request merge rate for shm11C3/HardwareVisualizer is 82.9%, based on public PR activity from non-core contributors.

Are there Good First Issues available in shm11C3/HardwareVisualizer?

shm11C3/HardwareVisualizer currently has 2 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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shm11C3/HardwareVisualizerA•Welcoming183
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shm11C3/HardwareVisualizer

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Active (30d)A•Welcoming(56/100)Rust

A cross-platform hardware monitor with real-time metrics, local history, and customizable dashboards.

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AI Maintainer Review Guidelines

Review Persona

Empathetic Technical Mentor

Warmth Score
8.3/10
Patience Score
8.6/10
Nitpick Rate
20%

Highly welcoming maintainers in shm11C3/HardwareVisualizer. 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
5 days+
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
82.9%
High acceptance rate for external PRs

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
CRITICAL BUS FACTOR
Single maintainer
No active GitHub maintainers found (may review internally on Gerrit or internal tools)
Diagnostic Health HUD
82.9%
Merge Gauge
100.0%
1st-Timer
Community Vibe63/100

Embed C-Rank Badge

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

GetMerged C-Rank badge for shm11C3/HardwareVisualizer
[![GetMerged C-Rank](https://getmerged.abhishekco.de/api/badge/shm11C3/HardwareVisualizer)](https://getmerged.abhishekco.de/shm11C3/HardwareVisualizer?utm_source=github&utm_medium=badge)

Active Good First Issues (2)

View on GitHub

Filed from an AI-assisted performance audit (2026-06-06). Problem The tray render loop (src-tauri/src/adapters/tray.rs:87-88) calls current_widget_settings() on every 1 Hz snapshot, which does .tray_widget.clone() + .normalized() plus current_temperature_unit() — a lock acquisition and allocations every second purely to re-read settings that change only when the user edits them. Proposed Solution Cache the normalized widget settings (and temperature unit) in the tray adapter and invalidate/rebuild only on a settings-change notification, instead of cloning + normalizing per tick. Additional Context Minor in absolute cost, but the fix is small and removes per-second lock traffic and allocations from the path that runs 24/7 in tray mode. Good first issue for the Rust side.

📅 Opened Jun 5, 2026💬 0 comments
Quality: 70/100Contribute

Filed from an AI-assisted performance audit (2026-06-06). Each finding was adversarially verified against the actual code. Problem uuid is configured with features ["v7", "fast-rng", "macro-diagnostics"] (src-tauri/Cargo.toml:59-65), but the only uuid usage in the entire codebase is a single Uuid::now_v7().to_string() call (src-tauri/src/services/background_image_service.rs:93). now_v7() sources entropy from getrandom directly and does not use the fast-rng path — fast-rng only affects random (v4) generation, and it is what pulls the full rand 0.10 stack (rand_core, rand_chacha) into the binary (cargo tree -i [email protected] → uuid v1.23.1). macro-diagnostics only helps the compile-time uuid! literal macro, which is never used. Proposed Solution uuid = { version = "1.23.1", features = ["v7"] } Drops rand 0.10 + rand_chacha + rand_core from the runtime binary and a proc-macro dependency from the build, with no functional change. Additional Context Binary-size / dependency-hygiene win

📅 Opened Jun 5, 2026💬 0 comments
Quality: 70/100Contribute
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Contributor Compatibility & Review Speed Analysis for shm11C3/HardwareVisualizer

When evaluating whether to contribute to shm11C3/HardwareVisualizer, 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 shm11C3/HardwareVisualizer acknowledge new external contributions in approximately 5 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 82.9% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to shm11C3/HardwareVisualizer

01

Is shm11C3/HardwareVisualizer welcoming to first-time open-source contributors?

shm11C3/HardwareVisualizer has a recorded first-timer success rate of 100.0%. Repositories ranked Welcoming 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 ~5 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 55.5 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 55.5 places shm11C3/HardwareVisualizer in the Welcoming tier.

04

What is the external contributor pull request merge rate for shm11C3/HardwareVisualizer?

The external pull request merge rate is 82.9%. 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 shm11C3/HardwareVisualizer?

Yes, shm11C3/HardwareVisualizer currently has 2 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 shm11C3/HardwareVisualizer 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.