Codecov might be a bit more popular than Coveralls. We know about 18 links to it since March 2021 and only 13 links to Coveralls. 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 / 4 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
If you're actively testing your codebase, which I hope you are, consider integrating a code coverage automatic checker such as codecov. This tool can alert if the coverage drops below a threshold. While I've had positive experiences with such tools, it's worth mentioning that the adoption process may pose some challenges. - Source: dev.to / 13 days ago
The code coverage is printed out in the Coverage Report step but it is useful to track code coverage over time and have a repository badge which shows the current coverage percentage. There are many different code coverage and testing applications but we will use CodeCov. - Source: dev.to / 6 months ago
Usually, you can't build a product without using various tools. Some of them can be free, and some of them can be commercial. The great benefit of working on Open Source projects is that a lot of companies with commercial products have special offers for non-commercial development. In the case of the "xq" utility, which is written in Go, I use GoLand IDE by JetBrains. I paid for it for several months but later... - Source: dev.to / 10 months ago
This YAML file details the CI implementation, including combined code coverage with CodeCov. For a simpler example without Cypress parallelization and code coverage, check the Github Actions YAML file of this template. The ideas presented here can be applied to any front-end application. - Source: dev.to / 11 months ago
High unit-test coverage, and automated coverage reports on your repo by something like Codecov. Source: about 1 year 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.
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.
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
SensioLabs Insight - PHP Project Quality Done Right.
ESLint - The fully pluggable JavaScript code quality tool
Phabricator - Phacility - Phabricator