TabbyML/tabby - Open Source PR Review Scorecard

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C-Rank Grade: C (Moderate) - 35/100

External PR Merge Rate: 5%

Response Time: 2d

First Timer Success: -

Frequently Asked Questions

Is TabbyML/tabby welcoming to first-time open-source contributors?

TabbyML/tabby has a recorded first-timer success rate of 0.0%. Repositories ranked C 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 TabbyML/tabby respond to incoming external pull requests in approximately 58.6 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 35.0 C-Rank™ score (C 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 35.0 places TabbyML/tabby in the C tier.

What is the external contributor pull request merge rate for TabbyML/tabby?

The external contributor pull request merge rate for TabbyML/tabby is 4.8%, based on public PR activity from non-core contributors.

Are there Good First Issues available in TabbyML/tabby?

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

TabbyML
TabbyML/tabbyCModerate33.8k
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TabbyML

TabbyML/tabby

33,842
CModerate(35/100)Rust

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AI Maintainer Review Guidelines

Review Persona

Active Open-Source Maintainer

Warmth Score
7.8/10
Patience Score
8.2/10
Nitpick Rate
20%

Established Rust ecosystem in TabbyML/tabby. Maintains structured code review standards for external contributors.

Top PR Submission Do's

  • Ensure code complies with Rust style conventions
  • Keep PRs scoped and well-documented

Top PR Friction Pitfalls (Don'ts)

  • Do not submit unlinked PRs without context
  • Do not break existing automated test suites
Response Velocity
2 days+
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
4.8%
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
8 core
Highly collaborative maintainer core
Diagnostic Health HUD
4.8%
Merge Gauge
0.0%
1st-Timer
Community Vibe2/100

Embed C-Rank Badge

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

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

Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for TabbyML/tabby.

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.

3 ratings required
Maintainer helpfulness
Review speed
Beginner friendliness

Contributor Compatibility & Review Speed Analysis for TabbyML/tabby

When evaluating whether to contribute to TabbyML/tabby, 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 TabbyML/tabby acknowledge new external contributions in approximately 2 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 4.8% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to TabbyML/tabby

01

Is TabbyML/tabby welcoming to first-time open-source contributors?

TabbyML/tabby has a recorded first-timer success rate of 0.0%. Repositories ranked Moderate 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 ~2 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 35.0 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 35.0 places TabbyML/tabby in the Moderate tier.

04

What is the external contributor pull request merge rate for TabbyML/tabby?

The external pull request merge rate is 4.8%. 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 TabbyML/tabby?

TabbyML/tabby 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 TabbyML/tabby 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.