scss-lint vs Quantifiedcode

Overview

scss-lint

Stacks136

Followers90

Votes0

Quantifiedcode

Stacks7

Followers18

Votes5

Quantifiedcode vs scss-lint: What are the differences?

Developers describe Quantifiedcode 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. On the other hand, scss-lint is detailed as "Configurable tool for writing clean and consistent SCSS". It is a tool to help keep your SCSS files clean and readable by running it against a collection of configurable linter rules. You can run it manually from the command line, or integrate it into your SCM hooks.

Quantifiedcode and scss-lint can be primarily classified as "Code Review" tools.

scss-lint is an open source tool with 3.36K GitHub stars and 508 GitHub forks. Here's a link to scss-lint's open source repository on GitHub.

Brigade, ikusei, and Doable are some of the popular companies that use scss-lint, whereas Quantifiedcode is used by Gludo, Opportunity Network, and Veggie Sailor. scss-lint has a broader approval, being mentioned in 6 company stacks & 5 developers stacks; compared to Quantifiedcode, which is listed in 5 company stacks and 3 developer stacks.

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Detailed Comparison

scss-lint	Quantifiedcode
It is a tool to help keep your SCSS files clean and readable by running it against a collection of configurable linter rules. You can run it manually from the command line, or integrate it into your SCM hooks.	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.
Statistics
Stacks 136	Stacks 7
Followers 90	Followers 18
Votes 0	Votes 5
Pros & Cons
No community feedback yet	Pros 3 Github integration 2 Easy setup
Integrations
Atom Visual Studio Code	GitHub Django Python Bitbucket

What are some alternatives to scss-lint, Quantifiedcode?

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

Codacy automates code reviews and monitors code quality on every commit and pull request on more than 40 programming languages reporting back the impact of every commit or PR, issues concerning code style, best practices and security.

Phabricator

Phabricator is a collection of open source web applications that help software companies build better software.

PullReview

PullReview helps Ruby and Rails developers to develop new features cleanly, on-time, and with confidence by automatically reviewing their code.

Gerrit Code Review

Gerrit is a self-hosted pre-commit code review tool. It serves as a Git hosting server with option to comment incoming changes. It is highly configurable and extensible with default guarding policies, webhooks, project access control and more.

SonarQube

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.

RuboCop

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.

CodeFactor.io

CodeFactor.io automatically and continuously tracks code quality with every GitHub or BitBucket commit and pull request, helping software developers save time in code reviews and efficiently tackle technical debt.

ESLint

A pluggable and configurable linter tool for identifying and reporting on patterns in JavaScript. Maintain your code quality with ease.

Amazon CodeGuru

It is a machine learning service for automated code reviews and application performance recommendations. It helps you find the most expensive lines of code that hurt application performance and keep you up all night troubleshooting, then gives you specific recommendations to fix or improve your code.