Git-appraise vs Quantifiedcode: What are the differences?
Developers describe Git-appraise as "Distributed code review system for Git repos (by Google)". This is a distributed code review system for Git Code reviews are stored inside the repository as git objects that can be pushed and pulled to remote repos.
When pulling, updates from the remote are automatically merged by the tool.. 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.
Git-appraise and Quantifiedcode can be categorized as "Code Review" tools.
Git-appraise is an open source tool with 4.1K GitHub stars and 125 GitHub forks. Here's a link to Git-appraise's open source repository on GitHub.
What is Git-appraise?
What is Quantifiedcode?
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Why do developers choose Git-appraise?
What are the cons of using Git-appraise?
What are the cons of using Quantifiedcode?
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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.