Software Alternatives & Reviews

Coveralls VS JSLint

Compare Coveralls VS JSLint and see what are their differences

Coveralls logo Coveralls

Coveralls is a code coverage history and tracking tool that tests coverage reports and statistics for engineering teams.

JSLint logo JSLint

JSLint is a JavaScript program that looks for problems in JavaScript programs.
  • Coveralls Landing page
    Landing page //
    2023-01-24
  • JSLint Landing page
    Landing page //
    2023-09-13

Coveralls videos

High Quality Mens Work Clothing Long Sleeve Coveralls review

More videos:

  • Review - Scentlok coveralls review!

JSLint videos

JavaScript Chapter 4 - a look at jslint

Category Popularity

0-100% (relative to Coveralls and JSLint)
Code Coverage
69 69%
31% 31
Code Analysis
69 69%
31% 31
Code Quality
67 67%
33% 33
Development
69 69%
31% 31

User comments

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Social recommendations and mentions

Based on our record, Coveralls should be more popular than JSLint. 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.

Coveralls mentions (13)

  • GitHub Actions for Perl Development
    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
  • Perl Testing in 2023
    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
  • free-for.dev
    Coveralls.io — Display test coverage reports, free for Open Source. - Source: dev.to / over 1 year ago
  • Containers for Coverage
    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
  • Comprehensive coverage Jest+Playwright in Next.js TS
    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
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JSLint mentions (4)

  • JSLint error: Move all 'var' declarations to the top of the function
    UPDATE 8/22/2011: found http://jshint.com, it looks much better than http://jslint.com/. Source: about 2 years ago
  • Deltarune crash after editing chapter 1 language file
    Use https://jslint.com to find the unescaped quote or whatever that's invalidating the file. Remember to put quote marks in dialogue as \". Source: over 2 years ago
  • You shall never disrespect the ways of the elders
    Ooh! I'm pretty sure I actually know this one! I watched a bunch of Douglas Crockford talk's at Yahoo! Talking about the weirdness of the language he helped develop (such as this one). He also has built JSLint to help pull out code that runs but can have unexpected results. Booleans in JS evaluate if something is truthy or falsy and undefined is falsy (19:20), however a string of "undefined" would be truthy, and... Source: over 2 years ago
  • Stupid simple problem in JS
    For future, just pop your code into an HTML Validator, a JS Linter, or a CSS Linter and it will check for basic stuff like this. There are also plugins in most IDEs for these kind of things which are incredibly useful. Source: about 3 years ago

What are some alternatives?

When comparing Coveralls and JSLint, you can also consider the following products

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.

Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.

ESLint - The fully pluggable JavaScript code quality tool

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.

SensioLabs Insight - PHP Project Quality Done Right.

CodeFactor.io - Automated Code Review for GitHub & BitBucket