thomhurst/TUnit - Open Source PR Review Scorecard

A modern, fast and flexible .NET testing framework

C-Rank Grade: S (Elite) - 72/100

External PR Merge Rate: 94%

Response Time: -

First Timer Success: 100%

Frequently Asked Questions

Is thomhurst/TUnit welcoming to first-time open-source contributors?

thomhurst/TUnit has a recorded first-timer success rate of 100.0%. Repositories ranked S 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 thomhurst/TUnit 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 71.8 C-Rank™ score (S 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 71.8 places thomhurst/TUnit in the S tier.

What is the external contributor pull request merge rate for thomhurst/TUnit?

The external contributor pull request merge rate for thomhurst/TUnit is 94.3%, based on public PR activity from non-core contributors.

Are there Good First Issues available in thomhurst/TUnit?

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

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thomhurst/TUnit

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Active (30d)S•Elite(72/100)C#

A modern, fast and flexible .NET testing framework

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AI Maintainer Review Guidelines

Review Persona

Empathetic Technical Mentor

Warmth Score
8.3/10
Patience Score
8.6/10
Nitpick Rate
20%

Highly welcoming maintainers in thomhurst/TUnit. 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
-
No reviewer activity recorded

Average Response Latency

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

Merge Efficiency
94.3%
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
7 core
Highly collaborative maintainer core
Diagnostic Health HUD
94.3%
Merge Gauge
100.0%
1st-Timer
Community Vibe68/100

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Active Good First Issues (1)

View on GitHub

Problem Statement Hi! The docs (e.g. Troubleshooting) state that "test methods must be public instance methods". Is there any appetite for relaxing this? I actually only care about this in the reflective test data collector and I'm asking because of F#, where in other testing frameworks such as NUnit it's pretty idiomatic to define e.g.: module MyTests = [<Test>] let foo () = if 3 <> 4 then failwith "oh no" This module compiles to an abstract sealed class. TUnit's reflective mode skips types which are Type.IsAbstract. Proposed Solution Permit this test, which is just a static rephrasing of https://github.com/thomhurst/TUnit/pull/2250/files#diff-7c60e0e872421ee5ed36abe6e6c58fd1565ae591e4088261372ebeeb4fb34cb2: open TUnit.Core module Tests = [<Test>] let test () = printfn "Test method executed" In the case that all the collected test methods are static, I think it's safe to relax the IsAbstract skip from the collector (though I'm not deeply familiar with

📅 Opened Sep 8, 2026💬 2 comments
Quality: 65/100Contribute
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Contributor Compatibility & Review Speed Analysis for thomhurst/TUnit

When evaluating whether to contribute to thomhurst/TUnit, 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 thomhurst/TUnit acknowledge new external contributions in approximately -. Out of all submitted pull requests from non-core authors in the last 180-day window, 94.3% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to thomhurst/TUnit

01

Is thomhurst/TUnit welcoming to first-time open-source contributors?

thomhurst/TUnit has a recorded first-timer success rate of 100.0%. Repositories ranked Elite 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 71.8 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 71.8 places thomhurst/TUnit in the Elite tier.

04

What is the external contributor pull request merge rate for thomhurst/TUnit?

The external pull request merge rate is 94.3%. 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 thomhurst/TUnit?

Yes, thomhurst/TUnit 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 thomhurst/TUnit 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.