RAJA Performance Portability Layer (C++)
C-Rank Grade: A (Welcoming) - 55/100
External PR Merge Rate: 64%
Response Time: 6d
First Timer Success: 88%
llnl/RAJA has a recorded first-timer success rate of 87.5%. Repositories ranked A typically provide actionable feedback during code reviews and actively nurture new community contributors.
Maintainers in llnl/RAJA respond to incoming external pull requests in approximately 151.2 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.
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 55.2 places llnl/RAJA in the A tier.
The external contributor pull request merge rate for llnl/RAJA is 64.0%, based on public PR activity from non-core contributors.
llnl/RAJA currently has 2 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".
Responsive & active maintainer team in llnl/RAJA. Reviews pull requests with focus on project architectural goals.
Average Response Latency
Tracks hours until a maintainer leaves a review, comment, or PR response.
External Acceptance Rate
Percentage of community pull requests successfully merged into main.
First PR Conversion
Rate at which developers submitting their first repository PR succeed.
Show contributors that your repository actively reviews and merges external pull requests.
[](https://getmerged.abhishekco.de/llnl/RAJA?utm_source=github&utm_medium=badge)
Historical health & responsiveness evolution
External PR acceptance
First PR success rate
50% receive response in
90% receive response in
Maintainer review activity heatmap & prime window prediction
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Detected: UTC
Maintainers are most responsive around 17:00 UTC (17:00 UTC in your timezone). Recommended submission window is Tuesday - Thursday from 16:00 to 20:00 UTC (16:00 - 20:00 UTC local).
Maintainer Strategy: Maintainer Sweet Spot: PRs under 150 lines merge in ~98 hours (80% approval). Large PRs (>500 lines) take ~726 hours (29% approval). Keep your diff compact for rapid review.
In the RAJA User Guide, we could do a better job connecting the reference sections (i.e., features) with the examples in the tutorial sections. Read trough the guide and add cross-reference links where it will help.
We should create an AGENTS.md file and a working list of skills for AI to use when working with RAJA. Skills can be developer focused (helping developers implement feature requests or build/run tests for code review, living in the RAJA repo) and user focused (helping users who might need to edit a RAJA tpl in their app, living in the RAJA install). A list of possible skills: Telling Codex to start with a global thread index for nested loops before trying to optimize with some kind of round-robin threading index (or other strategy) Telling Codex that vetted cmake build commands are located under scripts/lc-builds/.... Please add more as you think of them!
Rate what actually matters after opening a pull request here.
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When evaluating whether to contribute to llnl/RAJA, 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 llnl/RAJA acknowledge new external contributions in approximately 6 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 64.0% were successfully merged into the primary branch.
llnl/RAJA has a recorded first-timer success rate of 87.5%. Repositories ranked Welcoming typically provide actionable feedback during code reviews and actively nurture new community contributors.
The initial maintainer response time averages ~6 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.
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 55.2 places llnl/RAJA in the Welcoming tier.
The external pull request merge rate is 64.0%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.
Yes, llnl/RAJA currently has 2 active issue(s) tagged with beginner-friendly labels. You can inspect these directly from the repository issues tab.
All metrics displayed for llnl/RAJA 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.