Quantifiedcode vs Scrutinizer: What are the differences?
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; Scrutinizer: Continuous inspection platform - improve code quality and find bugs before they hit production. Scrutinizer is a continuous inspection platform helping you to create better software.
Quantifiedcode and Scrutinizer belong to "Code Review" category of the tech stack.
"Github integration" is the primary reason why developers consider Quantifiedcode over the competitors, whereas "Github integration / sync" was stated as the key factor in picking Scrutinizer.
What is Quantifiedcode?
What is Scrutinizer?
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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.