MPAS-Dev/MPAS-Model - Open Source PR Review Scorecard

Repository for MPAS models and shared framework releases.

C-Rank Grade: B (Solid) - 47/100

External PR Merge Rate: 50%

Response Time: 14h

First Timer Success: -

Frequently Asked Questions

Is MPAS-Dev/MPAS-Model welcoming to first-time open-source contributors?

MPAS-Dev/MPAS-Model 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 MPAS-Dev/MPAS-Model respond to incoming external pull requests in approximately 13.9 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 46.8 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 46.8 places MPAS-Dev/MPAS-Model in the B tier.

What is the external contributor pull request merge rate for MPAS-Dev/MPAS-Model?

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

Are there Good First Issues available in MPAS-Dev/MPAS-Model?

MPAS-Dev/MPAS-Model does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

MPAS-Dev
MPAS-Dev/MPAS-ModelB•Solid319
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MPAS-Dev

MPAS-Dev/MPAS-Model

319
InactiveB•Solid(47/100)Low Sample (<20 PRs)FOFortran

Repository for MPAS models and shared framework releases.

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AI Maintainer Review Guidelines

Review Persona

Empathetic Technical Mentor

Warmth Score
7.5/10
Patience Score
8.2/10
Nitpick Rate
20%

Collaborative maintainer environment in MPAS-Dev/MPAS-Model. Reviews community pull requests with focus on project quality.

What Contributors Actually Say

Discussions in MPAS-Dev/MPAS-Model focus heavily on practical implementation feedback, code formatting standards, and issue reproduction details.

Hidden Friction Signals

Unlinked PRs without issue context and changes that fail automated test suites face the highest review friction.

Unwritten Rules

  • •1) Keep PR scope strictly aligned with the linked issue.
  • •2) Ensure local linters pass before opening a review.
  • •3) Maintain full test coverage for modified logic.

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
13 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
6 core
Highly collaborative maintainer core
Diagnostic Health HUD
50.0%
Merge Gauge
0.0%
1st-Timer
Community Vibe40/100

Embed C-Rank Badge

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

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

Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for MPAS-Dev/MPAS-Model.

View all good first issues directly on GitHub

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Contributor Community Vibe Feedback

Rate what actually matters after opening a pull request here.

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
Review speed
Beginner friendliness

Contributor Compatibility & Review Speed Analysis for MPAS-Dev/MPAS-Model

When evaluating whether to contribute to MPAS-Dev/MPAS-Model, 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 MPAS-Dev/MPAS-Model acknowledge new external contributions in approximately 13 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 MPAS-Dev/MPAS-Model

01

Is MPAS-Dev/MPAS-Model welcoming to first-time open-source contributors?

MPAS-Dev/MPAS-Model 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 ~13 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 46.8 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 46.8 places MPAS-Dev/MPAS-Model in the Solid tier.

04

What is the external contributor pull request merge rate for MPAS-Dev/MPAS-Model?

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 MPAS-Dev/MPAS-Model?

MPAS-Dev/MPAS-Model 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 MPAS-Dev/MPAS-Model 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.