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GitCop
GitCop

1
6
+ 1
0
Quantifiedcode
Quantifiedcode

8
16
+ 1
5
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GitCop vs Quantifiedcode: What are the differences?

Developers describe GitCop as "Automated Commit Message Validation for GitHub Pull Requests". Free for open source projects;Any time a pull request is raised on your repository, each commit in the pull request is checked against the repository rules. If any commits do not follow the provided rules, a comment is left against the pull request. On the other hand, Quantifiedcode is detailed as "The first platform for automated code review AND repair". QuantifiedCode is an automated, data-driven code review for Python. Our goal is to help developers write better software in less time. Therefore, we make state-of-the-art code analysis available to everyone.

GitCop and Quantifiedcode can be primarily classified as "Code Review" tools.

- No public GitHub repository available -
- No public GitHub repository available -

What is GitCop?

Free for open source projects;Any time a pull request is raised on your repository, each commit in the pull request is checked against the repository rules. If any commits do not follow the provided rules, a comment is left against the pull request.

What is Quantifiedcode?

QuantifiedCode is an automated, data-driven code review for Python. Our goal is to help developers write better software in less time. Therefore, we make state-of-the-art code analysis available to everyone.
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          What tools integrate with GitCop?
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          What are some alternatives to GitCop and Quantifiedcode?
          ESLint
          A pluggable and configurable linter tool for identifying and reporting on patterns in JavaScript. Maintain your code quality with ease.
          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.
          Prettier
          Prettier is an opinionated code formatter. It enforces a consistent style by parsing your code and re-printing it with its own rules that take the maximum line length into account, wrapping code when necessary.
          Codacy
          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
          See all alternatives
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          Reviews of GitCop and Quantifiedcode
          Avatar of msjaiswal
          Software Engineer at Gludo
          Review ofQuantifiedcodeQuantifiedcode

          There are few things in python you do not learn till it punches you in the face. Mutable data types. I started using python 6 months back and "assumed" arguments are passed by value. One example where this mutable argument can behave in a way that you do not expect it to be is if you have lets say "[]" as a default argument of function. Example:
          def myfunc( input=[] ) blah blah

          This does something bad and Quantified Code detects this. They point out that this is not what you expect. They suggest better ways to achieve the same. This is good stuff.

          One piece of advise is to not to try fix everything that QC suggests. Fix the dangerous ones. Do not become a victim if instantaneous gratification QC provides.

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