ebrahim-s-ebrahim

Identifies high-risk .NET source files and ranks them by where to start testing today (cross-references git churn, code coverage, cyclomatic complexity, and dependency entanglement).

20
1
100% credibility
Found Mar 07, 2026 at 20 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
C#
AI Summary

Litmus is a .NET tool that scans codebases to produce a prioritized list of files for testing based on risk, coverage gaps, complexity, and testability barriers.

How It Works

1
🔍 Discover Litmus

You hear about a helpful tool for figuring out where to begin adding tests to an old .NET project.

2
📥 Get it set up

Install the tool on your computer in seconds with one easy command.

3
📁 Open your project folder

Navigate to the directory holding your project's main solution file.

4
Start the check
You have tests

It automatically runs your existing tests and measures coverage.

⏭️
No tests yet

It skips tests and focuses on code changes and structure.

5
📊 View the ranked list

A colorful table appears, highlighting dangerous files that are easiest to test first.

🎉 Test smarter

You now know exactly where to start, saving time and reducing risks in your legacy code.

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Star Growth

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AI-Generated Review

What is litmus?

Litmus is a C# CLI tool for .NET developers that scans solutions to identify high-risk source files, ranking them by risk score and starting priority for testing. It cross-references git churn, code coverage from Cobertura reports, cyclomatic complexity, and dependency entanglement—like direct DateTime.Now calls or new HttpClient()—to produce a prioritized table telling you where changes are dangerous and where tests are feasible today. Run `dotnet-litmus scan` to auto-run tests and analyze, or `analyze` with existing coverage; outputs include HTML reports and JSON/CSV for CI.

Why is it gaining traction?

Unlike SonarQube's broad quality scans, litmus focuses laser-like on "where to start testing" in low-coverage codebases, factoring seam introduction costs to avoid futile unit test attempts on tangled files. Baseline comparisons track priority deltas over time, and CI flags like `--fail-on-threshold` enforce quality gates effortlessly. Its one-command workflow and live test output hook devs tired of manual prioritization.

Who should use this?

Backend .NET engineers inheriting legacy monoliths with sparse tests, sprint leads triaging brownfield refactoring, or DevOps teams automating test debt metrics in GitHub Actions. Ideal for projects measuring churn and coverage to focus QA effort on high-risk services or controllers before production surprises hit.

Verdict

Grab it for .NET legacy triage—installs globally, docs shine, tests cover core paths—but with 20 stars and 1.0% credibility, treat as alpha for production CI. Promising litmus test github alternative to manual audits; watch for wider adoption.

(198 words)

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