VectorDB-NTU/RaBitQ-Library - Open Source PR Review Scorecard

An official lightweight library for the RaBitQ algorithm and its applications in vector search.

C-Rank Grade: B (Solid) - 52/100

External PR Merge Rate: 73%

Response Time: -

First Timer Success: 100%

Frequently Asked Questions

Is VectorDB-NTU/RaBitQ-Library welcoming to first-time open-source contributors?

VectorDB-NTU/RaBitQ-Library has a recorded first-timer success rate of 100.0%. 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 VectorDB-NTU/RaBitQ-Library respond to incoming external pull requests in approximately 0.0 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 52.4 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 52.4 places VectorDB-NTU/RaBitQ-Library in the B tier.

What is the external contributor pull request merge rate for VectorDB-NTU/RaBitQ-Library?

The external contributor pull request merge rate for VectorDB-NTU/RaBitQ-Library is 72.7%, based on public PR activity from non-core contributors.

Are there Good First Issues available in VectorDB-NTU/RaBitQ-Library?

VectorDB-NTU/RaBitQ-Library does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

VectorDB-NTU
VectorDB-NTU/RaBitQ-LibraryB•Solid290
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VectorDB-NTU

VectorDB-NTU/RaBitQ-Library

290
InactiveB•Solid(52/100)C++

An official lightweight library for the RaBitQ algorithm and its applications in vector search.

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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%

Active maintainer team in VectorDB-NTU/RaBitQ-Library welcoming community pull requests and bug fixes.

Top PR Submission Do's

  • •Ensure code complies with repository style conventions
  • •Keep PRs focused 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
-
No reviewer activity recorded

Average Response Latency

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

Merge Efficiency
72.7%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
100.0%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
1 core
Single maintainer review bottleneck
Diagnostic Health HUD
72.7%
Merge Gauge
100.0%
1st-Timer
Community Vibe59/100

Embed C-Rank Badge

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

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

Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for VectorDB-NTU/RaBitQ-Library.

View all good first issues directly on GitHub

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Contributor Community Vibe Feedback

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Rate your first-hand PR experience (review speed, maintainer responsiveness, and onboarding ease) to help other contributors.

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Contributor Compatibility & Review Speed Analysis for VectorDB-NTU/RaBitQ-Library

When evaluating whether to contribute to VectorDB-NTU/RaBitQ-Library, 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 VectorDB-NTU/RaBitQ-Library acknowledge new external contributions in approximately -. Out of all submitted pull requests from non-core authors in the last 180-day window, 72.7% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to VectorDB-NTU/RaBitQ-Library

01

Is VectorDB-NTU/RaBitQ-Library welcoming to first-time open-source contributors?

VectorDB-NTU/RaBitQ-Library has a recorded first-timer success rate of 100.0%. 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 ~-. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 52.4 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 52.4 places VectorDB-NTU/RaBitQ-Library in the Solid tier.

04

What is the external contributor pull request merge rate for VectorDB-NTU/RaBitQ-Library?

The external pull request merge rate is 72.7%. 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 VectorDB-NTU/RaBitQ-Library?

VectorDB-NTU/RaBitQ-Library 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 VectorDB-NTU/RaBitQ-Library 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.