Quantifiedcode vs coala

Overview

Quantifiedcode

Stacks7

Followers18

Votes5

coala

Stacks39

Followers45

Votes0

Quantifiedcode vs coala: What are the differences?

Introduction:

Quantifiedcode and coala are both code analysis tools used to improve code quality, but they have key differences that set them apart.

1. Supported Languages: Quantifiedcode supports Python, Ruby, JavaScript, Java, and C/C++, while coala offers support for a wider range of languages including Python, C/C++, Java, JavaScript, TypeScript, CSS, and more. This makes coala a more versatile choice for projects in diverse programming languages.

2. Focus on Code Analysis: Quantifiedcode primarily focuses on providing automated code review and static code analysis to help improve code quality. On the other hand, coala not only offers code analysis but also provides a framework for creating custom code analysis routines and automating code formatting and styling checks.

3. Plugin Ecosystem: Quantifiedcode has a limited plugin ecosystem, offering predefined sets of rules for code analysis. In contrast, coala has a robust plugin ecosystem that allows users to extend and customize code analysis rules based on their project requirements.

4. Continuous Integration: Both tools support integration with continuous integration services like Travis CI and Jenkins. However, coala provides more extensive documentation and support for setting up automated code checks in CI pipelines, making it easier for users to incorporate code analysis into their development workflow.

5. Community Support: coala has a larger and more active open-source community compared to Quantifiedcode, resulting in more frequent updates, bug fixes, and additional features. This strong community support ensures that coala remains up-to-date with the latest technologies and best practices in code analysis.

6. Ease of Use: Quantifiedcode offers a simple and straightforward interface for running code analysis checks, making it easy for beginners to get started. In contrast, coala has a steeper learning curve due to its advanced customization options and extensive feature set, catering more to experienced developers looking for a highly customizable code analysis tool.

In Summary, Quantifiedcode and coala differ in terms of supported languages, focus on code analysis, plugin ecosystem, continuous integration support, community support, and ease of use.

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CLI (Node.js)

Manual

Detailed Comparison

Quantifiedcode	coala
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.	coala is a language independent analysis toolkit. It empowers developers to create rules which a project's code should conform to. coala takes care of showing these issues to users in a friendly manner, is versatile and can be used in any environment.
Statistics
Stacks 7	Stacks 39
Followers 18	Followers 45
Votes 5	Votes 0
Pros & Cons
Pros 3 Github integration 2 Easy setup	Pros 0 Can be run locally with Docker 0 Can fix problems automatically 0 Supports many languages
Integrations
GitHub Django Python Bitbucket	No integrations available

What are some alternatives to Quantifiedcode, coala?

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.

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Quantifiedcode vs coala: What are the differences?

Introduction:

Quantifiedcode and coala are both code analysis tools used to improve code quality, but they have key differences that set them apart.

In Summary, Quantifiedcode and coala differ in terms of supported languages, focus on code analysis, plugin ecosystem, continuous integration support, community support, and ease of use.