v923z/micropython-ulab - Open Source PR Review Scorecard

a numpy-like fast vector module for micropython, circuitpython, and their derivatives

C-Rank Grade: D (Risky) - 15/100

External PR Merge Rate: -

Response Time: 4d

First Timer Success: -

Frequently Asked Questions

Is v923z/micropython-ulab welcoming to first-time open-source contributors?

v923z/micropython-ulab 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 v923z/micropython-ulab respond to incoming external pull requests in approximately 92.2 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 15.1 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 15.1 places v923z/micropython-ulab in the D tier.

What is the external contributor pull request merge rate for v923z/micropython-ulab?

The external contributor pull request merge rate for v923z/micropython-ulab is 0.0%, based on public PR activity from non-core contributors.

Are there Good First Issues available in v923z/micropython-ulab?

v923z/micropython-ulab does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

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v923z/micropython-ulabD•Risky499
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v923z/micropython-ulab

499
InactiveD•Risky(15/100)Low Sample (<20 PRs)C

a numpy-like fast vector module for micropython, circuitpython, and their derivatives

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AI Maintainer Review Guidelines

Review Persona

Empathetic Technical Mentor

Warmth Score
7.5/10
Patience Score
8.2/10
Nitpick Rate
20%

Collaborative maintainer environment in v923z/micropython-ulab. Reviews community pull requests with focus on project quality.

What Contributors Actually Say

Discussions in v923z/micropython-ulab focus heavily on practical implementation feedback, code formatting standards, and issue reproduction details.

Hidden Friction Signals

Unlinked PRs without issue context and changes that fail automated test suites face the highest review friction.

Unwritten Rules

  • •1) Keep PR scope strictly aligned with the linked issue.
  • •2) Ensure local linters pass before opening a review.
  • •3) Maintain full test coverage for modified logic.

Top PR Submission Do's

  • •Ensure code complies with the project coding style
  • •Keep PRs scoped to a single concern
  • •Include context and link to the related issue

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit PRs without linking an issue
  • •Do not break existing tests without fixing them
  • •Do not mix unrelated refactors in a single PR
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
1 core
Single maintainer review bottleneck
Diagnostic Health HUD
0.0%
Merge Gauge
0.0%
1st-Timer
Community Vibe0/100

Embed C-Rank Badge

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GetMerged C-Rank badge for v923z/micropython-ulab
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Active Good First Issues (0)

View on GitHub

No cached good first issues currently tracked for v923z/micropython-ulab.

View all good first issues directly on GitHub

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Contributor Community Vibe Feedback

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Contributor Compatibility & Review Speed Analysis for v923z/micropython-ulab

When evaluating whether to contribute to v923z/micropython-ulab, 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 v923z/micropython-ulab 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 v923z/micropython-ulab

01

Is v923z/micropython-ulab welcoming to first-time open-source contributors?

v923z/micropython-ulab 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 15.1 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 15.1 places v923z/micropython-ulab in the Risky tier.

04

What is the external contributor pull request merge rate for v923z/micropython-ulab?

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 v923z/micropython-ulab?

v923z/micropython-ulab 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 v923z/micropython-ulab 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.