fw-ai/benchmark - Open Source PR Review Scorecard

Benchmark suite for LLMs from Fireworks.ai

C-Rank Grade: B (Solid) - 53/100

External PR Merge Rate: 71%

Response Time: 15d

First Timer Success: 78%

Frequently Asked Questions

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

fw-ai/benchmark has a recorded first-timer success rate of 77.8%. 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 fw-ai/benchmark respond to incoming external pull requests in approximately 354.2 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 52.9 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 52.9 places fw-ai/benchmark in the B tier.

What is the external contributor pull request merge rate for fw-ai/benchmark?

The external contributor pull request merge rate for fw-ai/benchmark is 71.4%, based on public PR activity from non-core contributors.

Are there Good First Issues available in fw-ai/benchmark?

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

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Benchmark suite for LLMs from Fireworks.ai

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AI Maintainer Review Guidelines

Review Persona

High-Friction Gatekeeper

Warmth Score
5.0/10
Patience Score
6.0/10
Nitpick Rate
65%

Rigorous architecture standards (100% critical review signals). Ensure PRs strictly follow guidelines before requesting review in fw-ai/benchmark.

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
14 days+
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
71.4%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
77.8%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
4 core
Small core review team
Diagnostic Health HUD
71.4%
Merge Gauge
77.8%
1st-Timer
Community Vibe52/100

Embed C-Rank Badge

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

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

Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for fw-ai/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.

3 ratings required
Maintainer helpfulness
Review speed
Beginner friendliness

Contributor Compatibility & Review Speed Analysis for fw-ai/benchmark

When evaluating whether to contribute to fw-ai/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 fw-ai/benchmark acknowledge new external contributions in approximately 14 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 71.4% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to fw-ai/benchmark

01

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

fw-ai/benchmark has a recorded first-timer success rate of 77.8%. 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 ~14 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 52.9 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 52.9 places fw-ai/benchmark in the Solid tier.

04

What is the external contributor pull request merge rate for fw-ai/benchmark?

The external pull request merge rate is 71.4%. 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 fw-ai/benchmark?

fw-ai/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 fw-ai/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.