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.
What is codebeat?
What is Quantifiedcode?
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Why do developers choose codebeat?
What are the cons of using codebeat?
What are the cons of using Quantifiedcode?
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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.
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.