Quantifiedcode vs Pylint

Overview

Quantifiedcode

Stacks7

Followers18

Votes5

Pylint

Stacks873

Followers97

Votes17

Quantifiedcode vs Pylint: 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; Pylint: Source-code, bug and quality checker for the Python programming language. It is a Python static code analysis tool which looks for programming errors, helps enforcing a coding standard, sniffs for code smells and offers simple refactoring suggestions.

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

Pylint is an open source tool with 2.28K GitHub stars and 493 GitHub forks. Here's a link to Pylint's open source repository on GitHub.

King's Digital Lab, Predictus, and CityMeo are some of the popular companies that use Pylint, whereas Quantifiedcode is used by Gludo, Opportunity Network, and Veggie Sailor. Pylint has a broader approval, being mentioned in 5 company stacks & 6 developers stacks; compared to Quantifiedcode, which is listed in 5 company stacks and 3 developer stacks.

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Detailed Comparison

Quantifiedcode	Pylint
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 a Python static code analysis tool which looks for programming errors, helps enforcing a coding standard, sniffs for code smells and offers simple refactoring suggestions.
-	Syntax Check;Style Check;Warnings
Statistics
Stacks 7	Stacks 873
Followers 18	Followers 97
Votes 5	Votes 17
Pros & Cons
Pros 3 Github integration 2 Easy setup	Pros 3 Command Line 2 Pre-commit checks 2 Code score & directions 2 Spell Check strings & comments 2 IDE Integration
Integrations
GitHub Django Python Bitbucket	FreeBSD Debian Vim Windows Mac OS X TextMate Visual Studio Komodo IDE Eclipse Visual Studio Code

What are some alternatives to Quantifiedcode, Pylint?

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.

Pylint vs Quantifiedcode