Coveralls
CodeClimate
Codacy
SonarQube
SensioLabs Insight
ESLint
Codecov
Phabricator
SoftaCheck
Code Inspector
CodeFactor.io
SourceLevel
Codacy
SonarQube
Quality Clouds
CodeClimate
As software developers, we know you always strive to become a more professional programmer. To do that, you need to use the right tools to support your code development efforts and improve your code quality. However, there are so many tools that it could be difficult to know what to choose, and it is technically challenging to set them up yourself. This makes you feel like you are not fulfilling your potential as a developer. We believe you don’t have to be a tech wizard to use such tools and that they should be easily accessible to all developers. We understand how frustrating it feels to try and find hidden bugs in your code. We know what it’s like to spend hours writing support documentation for your code when you’d rather spend your time actually writing code. That’s why our team of expert C/C++ developers created SoftaCheck.
Here’s how it works First, sign up for the app using your GitHub account. Second, choose the repository you want to analyze. And finally, after a few moments, review all the detected bugs and browse through your newly created support documentation. So, sign up now, so you can stop wasting your time releasing software programs with bugs and, instead, start writing high-quality code and become a professional software developer.
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Based on our record, Coveralls seems to be more popular. It has been mentiond 13 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.
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 / 5 months 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 1 year ago
Coveralls.io — Display test coverage reports, free for Open Source. - Source: dev.to / over 1 year 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 1 year ago
This approach will create two json coverage files, which will be merged together by NYC. Therefore the results will be purely local. If You don't mind using online tools like Codecov or Coveralls for merging data from different tests, then go ahead and use them. They will probably also be more accurate. But if You still want to learn how to get coverage from E2E, then please read through. - Source: dev.to / almost 2 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.
Code Inspector - Code Inspector is a platform that helps developers and managers to deliver better code. Main features: - Automated Code Review - Historical values of software metrics - Evaluation of technical debt
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
CodeFactor.io - Automated Code Review for GitHub & BitBucket
SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.
SourceLevel - Team Metrics and Automated Code Review