Git-appraise vs Prettier vs Quantifiedcode

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What is Git-appraise?

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.

What is 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.

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 are some alternatives to Git-appraise, Prettier, and Quantifiedcode?
              A pluggable and configurable linter tool for identifying and reporting on patterns in JavaScript. Maintain your code quality with ease.
              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.
              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.
              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
              RuboCop is a Ruby static code analyzer. Out of the box it will enforce many of the guidelines outlined in the community Ruby Style Guide.
              See all alternatives
              Decisions about Git-appraise, Prettier, and Quantifiedcode
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              Reviews of Git-appraise, Prettier, 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 Git-appraise, Prettier, and Quantifiedcode
              Avatar of DevExpress Reimagined
              DevExpress Reimagined uses PrettierPrettier

              Forget code formatting

              How much does Git-appraise cost?
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              How much does Quantifiedcode cost?
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