Software Alternatives & Reviews

CodeFactor.io VS Coveralls

Compare CodeFactor.io VS Coveralls and see what are their differences

CodeFactor.io logo CodeFactor.io

Automated Code Review for GitHub & BitBucket

Coveralls logo Coveralls

Coveralls is a code coverage history and tracking tool that tests coverage reports and statistics for engineering teams.
  • CodeFactor.io Landing page
    Landing page //
    2021-10-19
  • Coveralls Landing page
    Landing page //
    2023-01-24

CodeFactor.io videos

Getting started with CodeFactor.io

Coveralls videos

High Quality Mens Work Clothing Long Sleeve Coveralls review

More videos:

  • Review - Scentlok coveralls review!

Category Popularity

0-100% (relative to CodeFactor.io and Coveralls)
Code Coverage
54 54%
46% 46
Code Analysis
56 56%
44% 44
Code Quality
57 57%
43% 43
Developer Tools
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Coveralls seems to be more popular. 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.

CodeFactor.io mentions (0)

We have not tracked any mentions of CodeFactor.io yet. Tracking of CodeFactor.io recommendations started around Mar 2021.

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 / about 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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What are some alternatives?

When comparing CodeFactor.io and Coveralls, you can also consider the following products

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

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.

ESLint - The fully pluggable JavaScript code quality tool

SensioLabs Insight - PHP Project Quality Done Right.

Source Insight - Source Insight is a programming editor & code browser with built-in live analysis for C/C++, C#, Java, and more; helping you understand large projects.