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  1. Stackups
  2. DevOps
  3. Code Review
  4. Code Review
  5. Codacy vs ktlint

Codacy vs ktlint

OverviewComparisonAlternatives

Overview

Codacy
Codacy
Stacks313
Followers551
Votes248
ktlint
ktlint
Stacks17
Followers14
Votes0
GitHub Stars6.6K
Forks518

Codacy vs ktlint: What are the differences?

Introduction

Codacy and ktlint are both tools used for code analysis and formatting in software development. While they serve a similar purpose, there are key differences that set them apart. In this document, we will explore and outline six key differences between Codacy and ktlint.

  1. Language Support: Codacy is a versatile code analysis tool that supports a wide range of programming languages including Java, Python, JavaScript, and more. On the other hand, ktlint is specifically designed for Kotlin language, providing in-depth analysis and formatting rules specific to Kotlin code.

  2. Code Formatting: Codacy offers a comprehensive set of customizable code quality and formatting rules, allowing developers to maintain consistent coding styles across projects. ktlint, on the other hand, is focused primarily on enforcing standard Kotlin code formatting guidelines out of the box. ktlint's formatting rules are more opinionated and less flexible compared to Codacy.

  3. Integration and Deployment: Codacy provides seamless integration with popular version control systems and code repositories like GitHub, Bitbucket, and GitLab. It offers automatic code reviews and analysis, monitoring code quality throughout the development process. In contrast, ktlint is a command-line tool meant to be integrated into build systems such as Gradle or Maven, requiring manual setup and configuration.

  4. Community Support: Codacy has an active and vibrant community with ongoing support and regular updates. It offers a marketplace of plugins and integrations to extend its functionality further. ktlint, while also benefiting from an active community, has a more focused user base due to its Kotlin-specific nature.

  5. Custom Rules and Policies: Codacy allows users to define custom rules and policies based on their specific project requirements. This enables developers to enforce specific coding standards tailored to their needs. In contrast, ktlint offers minimal customizability. It follows a more opinionated approach, sticking to the default Kotlin style guide.

  6. Ease of Use: Codacy provides a user-friendly web-based interface, making it easy to set up and configure analysis tools, manage repositories, and collaborate with team members. ktlint, being a command-line tool, requires a deeper understanding of command-line interfaces and build tools. It might be more suitable for developers with strong command-line skills.

In summary, Codacy offers a wider language support, flexible code formatting options, easy integration with popular version control systems, extensive customization capabilities, and a user-friendly interface. On the other hand, ktlint focuses specifically on Kotlin code analysis and formatting, offering a more opinionated approach, and being more suitable for developers already familiar with command-line tools and build systems.

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Detailed Comparison

Codacy
Codacy
ktlint
ktlint

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.

An anti-bikeshedding Kotlin linter with built-in formatter.

Available for cloud and self-hosted repositories;Static code analysis for +40 languages;Analysis for cloud infrastructure-as-code frameworks;Automatic analysis integrated in your CI;Code coverage tracking;Support for linter configuration files;1-click autofixes for GitHub;Static IP addresses for allowlisting Codacy;
No configuration; Built-in formatter; Customizable output; A single executable jar with all dependencies included
Statistics
GitHub Stars
-
GitHub Stars
6.6K
GitHub Forks
-
GitHub Forks
518
Stacks
313
Stacks
17
Followers
551
Followers
14
Votes
248
Votes
0
Pros & Cons
Pros
  • 45
    Automated code review
  • 35
    Easy setup
  • 29
    Free for open source
  • 20
    Customizable
  • 18
    Helps reduce technical debt
Cons
  • 6
    No support for private Git or Azure DevOps git
No community feedback yet
Integrations
GitHub
GitHub
GitLab
GitLab
Slack
Slack
Bitbucket
Bitbucket
Jira
Jira
Kotlin
Kotlin

What are some alternatives to Codacy, ktlint?

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.

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.

Reviewable

Reviewable

A code review tool for GitHub pull requests inspired by Google's internal tool. Powerful diffing and workflow features wrapped in a beautiful UI, with seamless GitHub integration. Free for public repos.

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