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Based on our record, Codecov seems to be more popular. It has been mentiond 19 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.
First of all, we need to have a repository. You can use different services, but I will show you on GitHub. First, you will need to go to the site and register in a way convenient for you. After that, you will see a personal account like this:. - Source: dev.to / about 1 month 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 / about 1 year 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 / over 1 year 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 / almost 2 years 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 / 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.
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.
cobertura - A code coverage tool for java
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
JaCoCo - JaCoCo is a free Java code coverage library.
Coveralls - Coveralls is a code coverage history and tracking tool that tests coverage reports and statistics for engineering teams.