NVIDIA/cuCollections - Open Source PR Review Scorecard

C-Rank Grade: B (Solid) - 52/100

External PR Merge Rate: 50%

Response Time: 10h

First Timer Success: -

Frequently Asked Questions

Is NVIDIA/cuCollections welcoming to first-time open-source contributors?

NVIDIA/cuCollections has a recorded first-timer success rate of 0.0%. Repositories ranked B 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 NVIDIA/cuCollections respond to incoming external pull requests in approximately 9.9 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 52.1 C-Rank™ score (B 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 52.1 places NVIDIA/cuCollections in the B tier.

What is the external contributor pull request merge rate for NVIDIA/cuCollections?

The external contributor pull request merge rate for NVIDIA/cuCollections is 50.0%, based on public PR activity from non-core contributors.

Are there Good First Issues available in NVIDIA/cuCollections?

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

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NVIDIA/cuCollectionsB•Solid661
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NVIDIA/cuCollections

661
Active (30d)B•Solid(52/100)Low Sample (<20 PRs)CUCuda

Open-source repository analyzed with precision C-Rank telemetry.

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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 NVIDIA/cuCollections 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
9 hours
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
50.0%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
0.0%
No first-timer merges recorded in window

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
9 core
Highly collaborative maintainer core
Diagnostic Health HUD
50.0%
Merge Gauge
0.0%
1st-Timer
Community Vibe43/100

Embed C-Rank Badge

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

GetMerged C-Rank badge for NVIDIA/cuCollections
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Active Good First Issues (1)

View on GitHub

I think we are too strict on the key/payload/slot type constraints. cuda::atomic_ref supports 1B and 2B operations. This is is to be explored in a future PR. Originally posted by @sleeepyjack in #803

📅 Opened Apr 27, 2026💬 4 comments
Quality: 55/100Contribute
Looking for more Cuda beginner tasks?Explore Cuda GFI

Contributor Community Vibe Feedback

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Contributor Compatibility & Review Speed Analysis for NVIDIA/cuCollections

When evaluating whether to contribute to NVIDIA/cuCollections, 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 NVIDIA/cuCollections acknowledge new external contributions in approximately 9 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 50.0% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to NVIDIA/cuCollections

01

Is NVIDIA/cuCollections welcoming to first-time open-source contributors?

NVIDIA/cuCollections has a recorded first-timer success rate of 0.0%. Repositories ranked Solid 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 ~9 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 52.1 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 52.1 places NVIDIA/cuCollections in the Solid tier.

04

What is the external contributor pull request merge rate for NVIDIA/cuCollections?

The external pull request merge rate is 50.0%. 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 NVIDIA/cuCollections?

Yes, NVIDIA/cuCollections 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 NVIDIA/cuCollections 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.