Codacy

242
363
+ 1
214
Coveralls

386
245
+ 1
67
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Codacy vs Coveralls: What are the differences?

What is Codacy? Automated Code Review. Codacy is an automated code review tool for Scala, Java, Ruby, JavaScript, PHP, Python, CoffeeScript and CSS. It's continuous static analysis without the hassle. Save time in Code Reviews. Tackle your technical debt.

What is Coveralls? Track your project's code coverage over time, changes to files, and badge your GitHub repo. Coveralls works with your CI server and sifts through your coverage data to find issues you didn't even know you had before they become a problem. Free for open source, pro accounts for private repos, instant sign up with GitHub OAuth.

Codacy can be classified as a tool in the "Code Review" category, while Coveralls is grouped under "Code Coverage".

Some of the features offered by Codacy are:

  • Monitoring of Technical Debt
  • Automated Code Review
  • New and Fixed Issues per commit

On the other hand, Coveralls provides the following key features:

  • Repository Coverage Statistics
  • Individual File Coverage Reports
  • Line By Line Coverage

"Automated code review" is the top reason why over 32 developers like Codacy, while over 44 developers mention "Free for public repositories" as the leading cause for choosing Coveralls.

According to the StackShare community, Coveralls has a broader approval, being mentioned in 58 company stacks & 45 developers stacks; compared to Codacy, which is listed in 44 company stacks and 23 developer stacks.

Decisions about Codacy and Coveralls

My website is brand new and one of the few requirements of testings I had to implement was code coverage. Never though it was so hard to implement using a #docker container. Given my lack of experience, every attempt I tried on making a simple code coverage test using the 4 combinations of #TravisCI, #CircleCi with #Coveralls, #Codecov I failed. The main problem was I was generating the .coverage file within the docker container and couldn't access it with #TravisCi or #CircleCi, every attempt to solve this problem seems to be very hacky and this was not the kind of complexity I want to introduce to my newborn website. This problem was solved using a specific action for #GitHubActions, it was a 3 line solution I had to put in my github workflow file and I was able to access the .coverage file from my docker container and get the coverage report with #Codecov.

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    What is Codacy?

    Codacy automates code reviews to improve and standardize code quality across large enterprises. It identifies issues through static code analysis. Integrates with GitLab, GitHub & Bitbucket.

    What is Coveralls?

    Coveralls works with your CI server and sifts through your coverage data to find issues you didn't even know you had before they become a problem. Free for open source, pro accounts for private repos, instant sign up with GitHub OAuth.
    What companies use Codacy?
    What companies use Coveralls?

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    What tools integrate with Codacy?
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      What are some alternatives to Codacy and Coveralls?
      SonarQube
      SonarQube provides an overview of the overall health of your source code and even more importantly, it highlights issues found on new code. With a Quality Gate set on your project, you will simply fix the Leak and start mechanically improving.
      Code Climate
      After each Git push, Code Climate analyzes your code for complexity, duplication, and common smells to determine changes in quality and surface technical debt hotspots.
      Better Code Hub
      Better Code Hub runs the first analysis of any GitHub repository with the default configuration. This default configuration is based on the programming languages reported by GitHub and supported by Better Code Hub. Better Code Hub further uses heuristics and commonly used conventions.
      Codecov
      Our patrons rave about our elegant coverage reports, integrated pull request comments, interactive commit graphs, our Chrome plugin and security.
      codebeat
      codebeat helps you prioritize issues and identify quick wins. It provides immediate and continuous feedback on complexity and duplication
      See all alternatives
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