codebeat聽vs聽Quantifiedcode

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codebeat
codebeat

12
23
+ 1
0
Quantifiedcode
Quantifiedcode

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

codebeat: Automated code review for Swift. codebeat helps you prioritize issues and identify quick wins. It provides immediate and continuous feedback on complexity and duplication; Quantifiedcode: 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.

codebeat and Quantifiedcode belong to "Code Review" category of the tech stack.

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What is codebeat?

codebeat helps you prioritize issues and identify quick wins. It provides immediate and continuous feedback on complexity and duplication

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 codebeat?
        What tools integrate with Quantifiedcode?
        What are some alternatives to codebeat and Quantifiedcode?
        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.
        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
        ESLint
        A pluggable and configurable linter tool for identifying and reporting on patterns in JavaScript. Maintain your code quality with ease.
        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.
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        Decisions about codebeat and Quantifiedcode
        Codacy
        Codacy
        codebeat
        codebeat
        SonarQube
        SonarQube

        It is very important to have clean code. To be sure that the code quality is not really bad I use a few tools. I love SonarQube with many relevant hints and deep analysis of code. codebeat isn't so detailed, but it can find complexity issues and duplications. Codacy cannot find more bugs then your IDE. The winner for me is SonarQube that shows me really relevant bugs in my code.

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        Interest over time
        Reviews of codebeat 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.

        How developers use codebeat and Quantifiedcode
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