Code Spotter vs Quantifiedcode: What are the differences?
Developers describe Code Spotter as "Cloud-based Static Code Analysis for Java". Boolean satisfiability. Interprocedural data flow. Statistical analysis. We’ve got them all. Plus false path pruning, which understands the data dependencies in your code and eliminates infeasible paths from the analysis so you don’t waste time triaging non issues. 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.
Code Spotter and Quantifiedcode can be primarily classified as "Code Review" tools.
What is Code Spotter?
What is Quantifiedcode?
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Why do developers choose Code Spotter?
What are the cons of using Code Spotter?
What are the cons of using Quantifiedcode?
What companies use Code Spotter?
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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.