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  5. Quantifiedcode vs SonarLint

Quantifiedcode vs SonarLint

OverviewComparisonAlternatives

Overview

Quantifiedcode
Quantifiedcode
Stacks7
Followers18
Votes5
SonarLint
SonarLint
Stacks175
Followers352
Votes16

Quantifiedcode vs SonarLint: 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; SonarLint: An IDE extension to detect and fix issues as you write code. It is an IDE extension that helps you detect and fix quality issues as you write code Like a spell checker, it squiggles flaws so that they can be fixed before committing code..

Quantifiedcode and SonarLint belong to "Code Review" category of the tech stack.

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Detailed Comparison

Quantifiedcode
Quantifiedcode
SonarLint
SonarLint

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.

It is an IDE extension that helps you detect and fix quality issues as you write code. Like a spell checker, it squiggles flaws so that they can be fixed before committing code.

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Bug detection;Instant feedback;Know what to do;Learn from your mistakes;Uncover old issues
Statistics
Stacks
7
Stacks
175
Followers
18
Followers
352
Votes
5
Votes
16
Pros & Cons
Pros
  • 3
    Github integration
  • 2
    Easy setup
Pros
  • 13
    IDE Integration
  • 3
    Free
Cons
  • 3
    Not Very User Friendly
  • 3
    Non contextual warnings
Integrations
GitHub
GitHub
Django
Django
Python
Python
Bitbucket
Bitbucket
Visual Studio
Visual Studio
Visual Studio Code
Visual Studio Code
Eclipse
Eclipse
IntelliJ IDEA
IntelliJ IDEA

What are some alternatives to Quantifiedcode, SonarLint?

Code Climate

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

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

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

PullReview

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 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

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

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

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

ESLint

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

Amazon CodeGuru

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.

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