pytorch/benchmark - Open Source PR Review Scorecard

TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.

C-Rank Grade: D (Risky) - 17/100

External PR Merge Rate: -

Response Time: 4d

First Timer Success: -

Frequently Asked Questions

Is pytorch/benchmark welcoming to first-time open-source contributors?

pytorch/benchmark has a recorded first-timer success rate of 0.0%. Repositories ranked D 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 pytorch/benchmark respond to incoming external pull requests in approximately 85.9 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 17.1 C-Rank™ score (D 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 17.1 places pytorch/benchmark in the D tier.

What is the external contributor pull request merge rate for pytorch/benchmark?

The external contributor pull request merge rate for pytorch/benchmark is 0.0%, based on public PR activity from non-core contributors.

Are there Good First Issues available in pytorch/benchmark?

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

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pytorch/benchmark

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TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.

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Response Velocity
3 days+
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
0.0%
Selective 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
2 core
Small core review team
Diagnostic Health HUD
0.0%
Merge Gauge
0.0%
1st-Timer
Community Vibe0/100

Embed C-Rank Badge

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

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

Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for pytorch/benchmark.

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.

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Maintainer helpfulness
Review speed
Beginner friendliness

Contributor Compatibility & Review Speed Analysis for pytorch/benchmark

When evaluating whether to contribute to pytorch/benchmark, 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 pytorch/benchmark acknowledge new external contributions in approximately 3 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 0.0% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to pytorch/benchmark

01

Is pytorch/benchmark welcoming to first-time open-source contributors?

pytorch/benchmark has a recorded first-timer success rate of 0.0%. Repositories ranked Risky 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 ~3 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 17.1 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 17.1 places pytorch/benchmark in the Risky tier.

04

What is the external contributor pull request merge rate for pytorch/benchmark?

The external pull request merge rate is 0.0%. 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 pytorch/benchmark?

pytorch/benchmark 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 pytorch/benchmark 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.