louis-e/arnis - Open Source PR Review Scorecard

Generate any location from the real world in Minecraft with a high level of detail.

C-Rank Grade: A (Welcoming) - 59/100

External PR Merge Rate: 68%

Response Time: 4d

First Timer Success: 36%

Frequently Asked Questions

Is louis-e/arnis welcoming to first-time open-source contributors?

louis-e/arnis has a recorded first-timer success rate of 36.4%. 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 louis-e/arnis respond to incoming external pull requests in approximately 99.8 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 59.0 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 59.0 places louis-e/arnis in the A tier.

What is the external contributor pull request merge rate for louis-e/arnis?

The external contributor pull request merge rate for louis-e/arnis is 67.8%, based on public PR activity from non-core contributors.

Are there Good First Issues available in louis-e/arnis?

louis-e/arnis does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

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louis-e/arnisA•Welcoming18.2k
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louis-e/arnis

18,196
Active (30d)A•Welcoming(59/100)Rust

Generate any location from the real world in Minecraft with a high level of detail.

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AI Maintainer Review Guidelines

Review Persona

High-Friction Gatekeeper

Warmth Score
6.2/10
Patience Score
6.9/10
Nitpick Rate
49%

Rigorous architecture standards (75% critical review signals). Ensure PRs strictly follow guidelines before requesting review in louis-e/arnis.

Top PR Submission Do's

  • •Add unit tests with >80% coverage for modified code paths
  • •Use conventional commit messages and clean branch names
  • •Link relevant GitHub issue ID in PR description pre-flight checklist

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit unlinked PRs without referencing an existing issue
  • •Do not mix refactoring and feature logic into a single commit
  • •Do not ping maintainers repeatedly within 24 hours of opening
Response Velocity
4 days+
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
67.8%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
36.4%
Accepts new contributor PRs

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
35 core
Highly collaborative maintainer core
Diagnostic Health HUD
67.8%
Merge Gauge
36.4%
1st-Timer
Community Vibe38/100

Embed C-Rank Badge

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

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

Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for louis-e/arnis.

View all good first issues directly on GitHub

Looking for more Rust beginner tasks?Explore Rust GFI

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 louis-e/arnis

When evaluating whether to contribute to louis-e/arnis, 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 louis-e/arnis acknowledge new external contributions in approximately 4 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 67.8% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to louis-e/arnis

01

Is louis-e/arnis welcoming to first-time open-source contributors?

louis-e/arnis has a recorded first-timer success rate of 36.4%. 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 ~4 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 59.0 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 59.0 places louis-e/arnis in the Welcoming tier.

04

What is the external contributor pull request merge rate for louis-e/arnis?

The external pull request merge rate is 67.8%. 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 louis-e/arnis?

louis-e/arnis 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 louis-e/arnis 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.