We have been using Codacy for the past few years for the https://github.com/apereo/cas project with much success. The Github integration is very easy, and there are excellent instructions on how to set up the pipeline with Github Actions. Codacy has fantastic support for coverage tools specifically for Java projects, such as Jacoco. The results are accurately explained and shown on the Codacy dashboard, and there are a lot of configuration settings that would allow one to customize the coverage data and analysis to assist with better code quality. The UI is intuitive, and Codacy comes with a lot of customizable built-in patterns, recommendations and security checks that help spot issues and fix issues. We also take advantage of metrics on duplication and complexity to identify areas that need attention for all developers and contributors to the project as PRs get submitted and merged. Codacy is also free for Open Source projects, which is something we very much appreciate.

As an author of an open-source product, it is very important to check the quality of the code, and he can help us quickly know the bad taste of the code.

C++ is a complex language that is easy to use in the wrong way. The integration of Codacy into our CI setup on Github ensures that our quality requirements are checked on every pull request. This ensures the high quality of our codebase.