llnl/axom - Open Source PR Review Scorecard

CS infrastructure components for HPC applications

C-Rank Grade: A (Welcoming) - 66/100

External PR Merge Rate: 71%

Response Time: 14h

First Timer Success: 60%

Frequently Asked Questions

Is llnl/axom welcoming to first-time open-source contributors?

llnl/axom has a recorded first-timer success rate of 60.0%. 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 llnl/axom respond to incoming external pull requests in approximately 14.1 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 66.4 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 66.4 places llnl/axom in the A tier.

What is the external contributor pull request merge rate for llnl/axom?

The external contributor pull request merge rate for llnl/axom is 71.3%, based on public PR activity from non-core contributors.

Are there Good First Issues available in llnl/axom?

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

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CS infrastructure components for HPC applications

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AI Maintainer Review Guidelines

Review Persona

Empathetic Technical Mentor

Warmth Score
8.1/10
Patience Score
8.4/10
Nitpick Rate
30%

Highly welcoming maintainers in llnl/axom. 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
14 hours
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
71.3%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
60.0%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
19 core
Highly collaborative maintainer core
Diagnostic Health HUD
71.3%
Merge Gauge
60.0%
1st-Timer
Community Vibe66/100

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

Active Good First Issues (2)

View on GitHub

I asked Claude to review all issues in the Axom GitHub repo and to generate a report on which issues are fixed and could be closed, which are outdated, and which should be high priority, etc. Here's what it did. Hopefully, we can use this to do some house cleaning and planning. We did something similar in RAJA (thanks @davidbeckingsale ) and we were able to close over 40 issues in short order. Note that I basically cut-and-pasted the report Claude generated. This needs some work to refine. Anyway, it's a start. If folks have thoughts/ideas about doing a more useful analysis on this, please share in a comment Axom GitHub Issues Analysis Report Generated: September 3, 2026 Total Issues Analyzed: 102 (PRs excluded) Executive Summary This report analyzes all open issues in the Axom GitHub repository. Issues have been categorized into three main groups: High Priority Issues (2): Active bugs, user requests, or recent enhancements requiring immediate attention Outdated/Inactive Issues (80

📅 Opened Sep 3, 2026💬 0 comments
Quality: 65/100Contribute

Exploring some code changes on a branch in Axom, I'm seeing compiler warnings that implicitly capturing this in a lambda expression is deprecated in C++20. Specifically, we are using the macros defined here in the code: https://github.com/llnl/axom/blob/develop/src/axom/core/Macros.hpp#L78 The warnings don't show up in Axom develop currently, but I expect that Axom developers and users will also run into these warnings at some point. In C++20, [=, this] is valid and well-formed (prior to C++20, it was either redundant or not considered valid depending on the compiler). However, this only works when a lambda expression is used within a class/struct member function. To avoid confusing inconsistent syntax, having multiple lamda macros for different code use cases, or macros that don't do anything, my suggestion would be to remove the AXOM_*_LAMBDA macros and make the capture syntax required. Currently, we have [=] in all the macros. FWIW, I don't see the reason for having capture-by-value

📅 Opened Aug 5, 2026💬 2 comments
Quality: 90/100Contribute
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Contributor Compatibility & Review Speed Analysis for llnl/axom

When evaluating whether to contribute to llnl/axom, 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/axom acknowledge new external contributions in approximately 14 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 71.3% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to llnl/axom

01

Is llnl/axom welcoming to first-time open-source contributors?

llnl/axom has a recorded first-timer success rate of 60.0%. 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 ~14 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 66.4 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 66.4 places llnl/axom in the Welcoming tier.

04

What is the external contributor pull request merge rate for llnl/axom?

The external pull request merge rate is 71.3%. 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 llnl/axom?

Yes, llnl/axom 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 llnl/axom 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.