danielpalme/ReportGenerator

ReportGenerator converts coverage reports generated by coverlet, OpenCover, dotCover, Visual Studio, NCover, Cobertura, JaCoCo, Clover, gcov or lcov into...

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Summary Information

Updated 28 minutes ago
Added to GitGenius on September 22nd, 2026
Created on February 3rd, 2015
Open Issues & Pull Requests: 2 (+0)
GitHub issues: Enabled
Number of forks: 295
Total Stargazers: 3,097 (+0)
Total Subscribers: 54 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 4.2 hours
Mean response time: 10.7 hours
90th percentile: 32.1 hours
Tracked items: 75

Charts & Analytics

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Issue Activity (beta)

Open issues: 2
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 364 days
Stale 30+ days: 1
Stale 90+ days: 0

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • enhancement (22)
  • bug (15)
  • invalid (11)
  • question (9)
  • Azure DevOps (7)
  • wontfix (7)
  • awaiting user (2)
  • duplicate (1)

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Detailed Description

ReportGenerator is a code coverage report converter that transforms coverage data from multiple testing frameworks into human-readable reports in various formats.

The tool solves the problem of making raw coverage reports accessible and actionable. Coverage tools like coverlet, OpenCover, dotCover, and others produce machine-readable output that developers struggle to interpret. ReportGenerator ingests these reports and converts them into formats designed for human consumption, making it easier to understand which parts of a codebase are tested and identify gaps in test coverage.

Teams working with .NET projects should consider ReportGenerator if they use any of the supported coverage tools and need to share coverage results with developers or stakeholders. It works well in continuous integration pipelines where coverage reports are generated automatically and need to be presented in a digestible form. The tool's support for multiple input formats—including coverlet, OpenCover, dotCover, Visual Studio, NCover, Cobertura, JaCoCo, Clover, gcov, and lcov—means it can integrate into diverse testing workflows without requiring teams to standardize on a single coverage tool.

The project shows consistent maintenance with regular updates addressing bugs and adding features. Development activity indicates active engagement with user-reported issues and a responsive approach to improving the tool's functionality. The codebase receives ongoing refinement to support new coverage tool versions and output formats as the testing ecosystem evolves.