mpusz/mp-units - Open Source PR Review Scorecard

The Domain-Correct Quantities and Units Library for C++ — full quantity kind safety, ISO 80000 compliant, C++29 standardization candidate.

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

External PR Merge Rate: 80%

Response Time: 2d

First Timer Success: 100%

Frequently Asked Questions

Is mpusz/mp-units welcoming to first-time open-source contributors?

mpusz/mp-units 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 mpusz/mp-units respond to incoming external pull requests in approximately 50.6 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 52.7 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 52.7 places mpusz/mp-units in the B tier.

What is the external contributor pull request merge rate for mpusz/mp-units?

The external contributor pull request merge rate for mpusz/mp-units is 80.0%, based on public PR activity from non-core contributors.

Are there Good First Issues available in mpusz/mp-units?

mpusz/mp-units currently has 1 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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mpusz/mp-units

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InactiveB•Solid(53/100)Low Sample (<20 PRs)C++

The Domain-Correct Quantities and Units Library for C++ — full quantity kind safety, ISO 80000 compliant, C++29 standardization candidate.

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AI Maintainer Review Guidelines

Review Persona

Welcoming Community Builder

Warmth Score
8.3/10
Patience Score
8.4/10
Nitpick Rate
40%

Highly welcoming maintainers in mpusz/mp-units. Prompt code reviews with positive guidance for new contributors.

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
2 days+
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
80.0%
High acceptance rate for external PRs

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
2 core
Small core review team
Diagnostic Health HUD
80.0%
Merge Gauge
100.0%
1st-Timer
Community Vibe62/100

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Active Good First Issues (2)

View on GitHub

📝 What Add two entries to docs/getting_started/faq.md, each built from an answer that already exists in GitHub Discussions but is findable only by someone who knows to search there: #712 - why you never instantiate derived_unit (or any other derived_XXX type) yourself, and what to write instead. #699 - why QuantityOf and QuantityPointOf do not take a Reference, and how to check for a specific unit when you genuinely need to. Note that the two concepts differ: QuantityOf constrains against a quantity specification, while QuantityPointOf accepts either a quantity specification or an absolute point origin. Read the concept definitions rather than trusting this summary. Both discussions have an accepted answer, so the content exists. The work is editorial: turn an answer written to one person into an entry that reads for everyone. 💡 Why The FAQ is where a reader looks before filing anything, and #712 arrived from someone who followed the documentation and hit a compilation error, w

📅 Opened Sep 12, 2026💬 1 comment
Quality: 100/100Contribute

📝 What Add a small CI check that verifies mp-units compiles to the same machine code as hand-written equivalents, on one reference configuration. Concretely: Create a dedicated translation unit with a few abstraction/baseline pairs: an mp-units function and the equivalent raw function (for example, speed from distance and time). Emit assembly with -S at the release optimization level. Extract each function's assembly, strip incidental tokens (labels, comments, directives, alignment padding), and assert each pair is equivalent. Byte-identical after normalization is the target for a truly zero-overhead operation. Wire it as a CTest test on a single reference configuration (for example, the latest Clang, Release, x86-64) so it gates pull requests. Keep the first version deliberately minimal: a handful of operations, one configuration, byte-identical comparison. The set can grow later. 💡 Why mp-units promises zero runtime overhead, but today that promise is only checked manually on

📅 Opened Jun 27, 2026💬 3 comments
Quality: 80/100Contribute
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Contributor Compatibility & Review Speed Analysis for mpusz/mp-units

When evaluating whether to contribute to mpusz/mp-units, 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 mpusz/mp-units acknowledge new external contributions in approximately 2 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 80.0% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to mpusz/mp-units

01

Is mpusz/mp-units welcoming to first-time open-source contributors?

mpusz/mp-units 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 ~2 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 52.7 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 52.7 places mpusz/mp-units in the Solid tier.

04

What is the external contributor pull request merge rate for mpusz/mp-units?

The external pull request merge rate is 80.0%. 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 mpusz/mp-units?

Yes, mpusz/mp-units currently has 1 active issue(s) tagged with beginner-friendly labels. You can inspect these directly from the repository issues tab.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for mpusz/mp-units 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.