ESLint VS Coveralls

ESLint: A pluggable and configurable linter tool for identifying and reporting on patterns in JavaScript. - Source: dev.to / 4 days ago

Automating code checks with static code analysis allows us to enforce code styling effectively. By integrating tools into our workflow, we can identify errors at an early stage, while coding instead of blocking us at the end. For instance, flake8 checks Python code for style and errors, eslint performs similar checks for JavaScript, and prettier automatically formats code to maintain consistency. - Source: dev.to / 7 days ago

If you're a developer, you're surely familiar with Prettier and ESLint. With over 8 years of existence, they have established themselves as references in the JavaScript ecosystem. - Source: dev.to / 11 days ago

No lint errors: The committed code does not contain any lint errors (eslint). - Source: dev.to / 18 days ago

Let’s walk through the steps for a one-time setup to configure husky pre-commit and pre-push hooks, ESLint with code styles conventions, prettier code formatter, and lint-staged. Husky automatically runs a script on each commit or push. This is useful for linting files to enforce code styles that keeps the entire code base following conventions. - Source: dev.to / 21 days 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 / 3 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