GenAI inference performance benchmarking tool
C-Rank Grade: B (Solid) - 54/100
External PR Merge Rate: 64%
Response Time: 4d
First Timer Success: 71%
kubernetes-sigs/inference-perf has a recorded first-timer success rate of 71.4%. Repositories ranked B typically provide actionable feedback during code reviews and actively nurture new community contributors.
Maintainers in kubernetes-sigs/inference-perf respond to incoming external pull requests in approximately 97.3 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 54.0 places kubernetes-sigs/inference-perf in the B tier.
The external contributor pull request merge rate for kubernetes-sigs/inference-perf is 63.5%, based on public PR activity from non-core contributors.
kubernetes-sigs/inference-perf currently has 4 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".
Balanced & professional review environment in kubernetes-sigs/inference-perf. Maintains strict focus on technical quality and test standards.
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/kubernetes-sigs/inference-perf?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
Calculating local time...
Calculating local time...
Detected: UTC
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).
Maintainer Strategy: Maintainer Sweet Spot: PRs under 150 lines merge in ~63 hours (79% approval). Large PRs (>500 lines) take ~467 hours (29% approval). Keep your diff compact for rapid review.
Enter your branch size and test coverage below to forecast review turnaround and get 1-click git splitting commands.
This repository currently has 4 open good first issue tickets available for newcomers.
Rate what actually matters after opening a pull request here.
Rate your first-hand PR experience (review speed, maintainer responsiveness, and onboarding ease) to help other contributors.
When evaluating whether to contribute to kubernetes-sigs/inference-perf, 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 kubernetes-sigs/inference-perf acknowledge new external contributions in approximately 4 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 63.5% were successfully merged into the primary branch.
kubernetes-sigs/inference-perf has a recorded first-timer success rate of 71.4%. Repositories ranked Solid typically provide actionable feedback during code reviews and actively nurture new community contributors.
The initial maintainer response time averages ~4 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.
The C-Rankâ„¢ 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 54.0 places kubernetes-sigs/inference-perf in the Solid tier.
The external pull request merge rate is 63.5%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.
Yes, kubernetes-sigs/inference-perf currently has 4 active issue(s) tagged with beginner-friendly labels. You can inspect these directly from the repository issues tab.
All metrics displayed for kubernetes-sigs/inference-perf 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.