Coveralls
CodeClimate
Codacy
SensioLabs Insight
ESLint
SonarQube
Source-Navigator NG
CodeFactor.io
Coderbuds
LinearB
GitPrime
Engineering teams operate as black boxes to leadership, making it impossible to prove productivity, identify bottlenecks, or make data-driven improvements. Coderbuds solves this by automatically transforming your GitHub data into clear DORA metrics and team performance insights. Get instant visibility into deployment frequency, lead times, pull request patterns, and delivery bottlenecks without disrupting your team's workflow. Engineering managers finally have the data they need for executive reporting, while teams get actionable insights to actually improve their velocity and reliability.
Coveralls CoderbudsCoveralls is recommended for software development teams and individual developers who are focused on improving code quality through comprehensive test coverage. It is especially useful for projects that already utilize CI/CD workflows, as it integrates smoothly into these processes. Teams seeking to maintain high standards of test-driven development will particularly benefit from its features.
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Based on our record, Coveralls seems to be more popular. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
For open-source projects, many SaaS platforms offer free tiers for monitoring. For tracking code coverage, you can use Codecov or Coveralls. For tracking complexity, CodeClimate is a good option. These platforms integrate well with GitHub repositories. - Source: dev.to / almost 2 years ago
Cpan_coverage: This calculates the coverage of your test suite and reports the results. It also uploads the results to coveralls.io. - Source: dev.to / over 2 years ago
I will normally use GitHub Actions to automatically run my test suite on each push, on every major version of Perl I support. One of the test runs will load Devel::Cover and use it to upload test coverage data to Codecov and Coveralls. - Source: dev.to / over 3 years ago
Coveralls.io โ Display test coverage reports, free for Open Source. - Source: dev.to / over 3 years ago
Several years ago I got into Travis CI and set up lots of my GitHub repos so they automatically ran the tests each time I committed to the repo. Later on, I also worked out how to tie those test runs into Coveralls.io so I got pretty graphs of how my test coverage was looking. I gave a talk about what I had done. - Source: dev.to / over 3 years ago
CodeClimate - Code Climate provides automated code review for your apps, letting you fix quality and security issues before they hit production. We check every commit, branch and pull request for changes in quality and potential vulnerabilities.
LinearB - LinearB delivers software leaders the insights they need to make their engineering teams better through a real-time SaaS platform. Visibility into key metrics paired with automated improvement actions enables software leaders to deliver more.
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
GitPrime - GitPrime uses data from any Git based code repository to give management the software engineering metrics needed to move faster and optimize work patterns.
SensioLabs Insight - PHP Project Quality Done Right.
ESLint - The fully pluggable JavaScript code quality tool