What does the 57.4 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 57.4 places SemiAnalysisAI/InferenceX in the A tier.

Are there Good First Issues available in SemiAnalysisAI/InferenceX?

SemiAnalysisAI/InferenceX does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

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SemiAnalysisAI/InferenceX

Q: How fast can I expect code review feedback on my pull request?

Maintainers in SemiAnalysisAI/InferenceX respond to incoming external pull requests in approximately 25.6 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

Q: What is the external contributor pull request merge rate for SemiAnalysisAI/InferenceX?

The external contributor pull request merge rate for SemiAnalysisAI/InferenceX is 61.4%, based on public PR activity from non-core contributors.

1,541

A•Welcoming(57/100)Python

Open Source Continuous Inference Benchmark Research Platform — Kimi K3 2.8T, MiniMax M3, DeepSeekv4, GLM5 - GB200 NVL72 vs MI355X vs B200 vs GB300 NVL72 & soon™ TPUv6e/v7/Trainium2/3 | 开源持续推理基准研究平台 — Kimi K2.7-Code、MiniMax M3、DeepSeekv4、GLM5 - GB200 NVL72 vs MI355X vs B200 vs GB300 NVL72，即将推出™ TPUv6e/v7/Trainium2/3

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AI Maintainer Review Guidelines

Review Persona

Strict Quality Architect

Warmth Score

6.9/10

Patience Score

7.4/10

Nitpick Rate

39%

Balanced & professional review environment in SemiAnalysisAI/InferenceX. Maintains strict focus on technical quality and test standards.

Top PR Submission Do's

•Add unit tests with >80% coverage for modified code paths
•Run repository linter and code formatters locally before pushing
•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

1 days+

Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency

61.4%

Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success

51.9%

Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers

35 core

Highly collaborative maintainer core

Diagnostic Health HUD

61.4%

Merge Gauge

51.9%

1st-Timer

Community Vibe51/100

Embed C-Rank Badge

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

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

90-Day C-Rank Trajectory

16 snapshots

Historical health & responsiveness evolution

61.3/100A

Aug 29

+19.1

Aug 9Range: 29.9 – 61.3 ptsAug 29

PR Acceptance & Review Speed Forecast

Run Pre-flight PR CheckPrecomputed via Live PR Events

Overall Merge Odds

61.4%

External PR acceptance

First-Timer Rate

51.9%

First PR success rate

Median Response (p50)

26h

50% receive response in

Tail Latency (p90)

N/A

90% receive response in

Active Maintainers: 35

Optimal PR Submission Window

Maintainer review activity heatmap & prime window prediction

Tuesday - ThursdayConfidence: NaN%

Peak Review Hour

14:00 UTC

Calculating local time...

Primary Window

14:00 - 18:00 UTC

Calculating local time...

Active Maintainers

Heuristic Estimate

Detected: UTC

24-Hour Maintainer Activity Heatmap (UTC)

LowPeak

00:0006:0012:0018:0023:00

Maintainers are most responsive around 14:00 UTC (14:00 UTC in your timezone). Recommended submission window is Tuesday - Thursday from 14:00 to 18:00 UTC (14:00 - 18:00 UTC local).

PR Size vs Review Speed

Best Pull Request Size for SemiAnalysisAI/InferenceX

Sweet Spot: < 150 lines

Small (<150 LOC)Recommended

17havg review

77% Merge Approval

Medium (150–500 LOC)Normal

1.6davg review

58% Merge Approval

Large (>500 LOC)Slow

5.1davg review

28% Merge Approval

Maintainer Strategy: Maintainer Sweet Spot: PRs under 150 lines merge in ~17 hours (77% approval). Large PRs (>500 lines) take ~123 hours (28% approval). Keep your diff compact for rapid review.

Interactive Test: Test your planned branch diff against SemiAnalysisAI/InferenceX's ~150 LOC sweet spot before opening a PR.

PR Merge Doctor · Pre-Submission Diff Check

Simulate Your PR Merge Speed

Enter your branch size and test coverage below to forecast review turnaround and get 1-click git splitting commands.

⚡ Sweet spot: ~150 LOC

Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for SemiAnalysisAI/InferenceX.

View all good first issues directly on GitHub

Looking for more Python beginner tasks?Explore Python 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.

3 ratings required

Maintainer helpfulness

Review speed

Beginner friendliness

Contributor Compatibility & Review Speed Analysis for SemiAnalysisAI/InferenceX

When evaluating whether to contribute to SemiAnalysisAI/InferenceX, 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 SemiAnalysisAI/InferenceX acknowledge new external contributions in approximately 1 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 61.4% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to SemiAnalysisAI/InferenceX

Is SemiAnalysisAI/InferenceX welcoming to first-time open-source contributors?

SemiAnalysisAI/InferenceX has a recorded first-timer success rate of 51.9%. Repositories ranked Welcoming 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?

The initial maintainer response time averages ~1 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

What does the 57.4 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 57.4 places SemiAnalysisAI/InferenceX in the Welcoming tier.

What is the external contributor pull request merge rate for SemiAnalysisAI/InferenceX?

The external pull request merge rate is 61.4%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.

Are there beginner Good First Issues open in SemiAnalysisAI/InferenceX?

SemiAnalysisAI/InferenceX 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 SemiAnalysisAI/InferenceX 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.