ROCm/MIVisionX - Open Source PR Review Scorecard

AMD MIVisionX is a computer vision toolkit built around a highly optimized, conformant open-source implementation of the Khronos OpenVX™ 1.3.2 specification. As of the 4.0.0 release, MIVisionX ships three components: the AMD OpenVX™ engine, the AMD RPP OpenVX extension, and the RunVX graph executor — across CPU, HIP, and OpenCL backends.

C-Rank Grade: A (Welcoming) - 64/100

External PR Merge Rate: 92%

Response Time: 21h

First Timer Success: 50%

Frequently Asked Questions

Is ROCm/MIVisionX welcoming to first-time open-source contributors?

ROCm/MIVisionX has a recorded first-timer success rate of 50.0%. 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 ROCm/MIVisionX respond to incoming external pull requests in approximately 20.7 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 64.5 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 64.5 places ROCm/MIVisionX in the A tier.

What is the external contributor pull request merge rate for ROCm/MIVisionX?

The external contributor pull request merge rate for ROCm/MIVisionX is 92.3%, based on public PR activity from non-core contributors.

Are there Good First Issues available in ROCm/MIVisionX?

ROCm/MIVisionX does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

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ROCm/MIVisionX

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InactiveA•Welcoming(64/100)C++

AMD MIVisionX is a computer vision toolkit built around a highly optimized, conformant open-source implementation of the Khronos OpenVX™ 1.3.2 specification. As of the 4.0.0 release, MIVisionX ships three components: the AMD OpenVX™ engine, the AMD RPP OpenVX extension, and the RunVX graph executor — across CPU, HIP, and OpenCL backends.

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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 ROCm/MIVisionX. 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
20 hours
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
92.3%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
50.0%
Accepts new contributor PRs

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
5 core
Small core review team
Diagnostic Health HUD
92.3%
Merge Gauge
50.0%
1st-Timer
Community Vibe66/100

Embed C-Rank Badge

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

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

Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for ROCm/MIVisionX.

View all good first issues directly on GitHub

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Contributor Community Vibe Feedback

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Have you contributed to this repo?

Rate your first-hand PR experience (review speed, maintainer responsiveness, and onboarding ease) to help other contributors.

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Maintainer helpfulness
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Contributor Compatibility & Review Speed Analysis for ROCm/MIVisionX

When evaluating whether to contribute to ROCm/MIVisionX, 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 ROCm/MIVisionX acknowledge new external contributions in approximately 20 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 92.3% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to ROCm/MIVisionX

01

Is ROCm/MIVisionX welcoming to first-time open-source contributors?

ROCm/MIVisionX has a recorded first-timer success rate of 50.0%. 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 ~20 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 64.5 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 64.5 places ROCm/MIVisionX in the Welcoming tier.

04

What is the external contributor pull request merge rate for ROCm/MIVisionX?

The external pull request merge rate is 92.3%. 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 ROCm/MIVisionX?

ROCm/MIVisionX does not have open beginner labels indexed currently, but external PRs for bugs and documentation improvements are evaluated via normal issue triage.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for ROCm/MIVisionX 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.