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  1. Stackups
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  3. Code Review
  4. Code Review
  5. ktfmt vs ktlint

ktfmt vs ktlint

OverviewComparisonAlternatives

Overview

ktfmt
ktfmt
Stacks0
Followers3
Votes0
ktlint
ktlint
Stacks16
Followers14
Votes0
GitHub Stars6.6K
Forks518

ktfmt vs ktlint: What are the differences?

Introduction

Here are the key differences between ktfmt and ktlint:

  1. Formatting approach:

    • ktfmt uses an automated formatting approach and aims for consistency in code formatting. It reformats an entire file to adhere to a specific set of formatting rules.
    • ktlint focuses on style guidelines and enforces code quality and style conventions. It does not perform automated formatting; instead, it provides suggestions and flags violations of the defined style rules.
  2. Configuration flexibility:

    • ktfmt has limited configuration options and primarily follows the default formatting rules. It aims for simplicity and ease of use without requiring extensive manual configuration.
    • ktlint offers extensive configuration options, allowing developers to customize the desired coding style. It provides a wide range of rules that can be enabled, disabled, or modified according to specific project requirements.
  3. Integration with build tools and IDEs:

    • ktfmt provides seamless integration with build tools and can be integrated into existing build pipelines and workflows. It supports popular tools like Gradle, Bazel, and Pants.
    • ktlint offers plugins for various IDEs like IntelliJ IDEA, Android Studio, and Visual Studio Code. These plugins provide real-time linting and code analysis, making it easier to adhere to the defined style rules during development.
  4. Rule coverage:

    • ktfmt focuses primarily on code formatting and indentation-related rules. It ensures consistent formatting throughout the codebase but may not catch other potential code quality issues or style violations.
    • ktlint covers a broader range of style rules and aims to enforce consistent coding practices. It checks for style violations, potential bugs, and anti-patterns, allowing for better code quality and maintainability.
  5. Community support and ecosystem:

    • ktfmt has relatively fewer users and a smaller community compared to ktlint. It may offer limited resources, plugins, and community-driven extensions.
    • ktlint has a larger user base and an active community, resulting in broader support, a wider range of plugins, and a more extensive ecosystem. It benefits from community-driven improvements and contributions.
  6. Adherence to specific style guides:

    • ktfmt does not enforce adherence to specific style guides. It focuses on consistent formatting based on its predefined rules but does not impose any specific coding style.
    • ktlint includes built-in style guides, such as the official Android Kotlin Style Guide. It encourages developers to follow these style guides to ensure consistency and maintainability in Kotlin codebases.

In summary, ktfmt primarily focuses on automated code formatting with limited configuration options, while ktlint emphasizes style guidelines, offers extensive configuration flexibility, and checks for a broader range of code quality and style violations. Ktfmt integrates well with build tools, while ktlint provides dedicated IDE plugins for real-time linting. Ktlint also benefits from a larger community and ecosystem.

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Detailed Comparison

ktfmt
ktfmt
ktlint
ktlint

It is a program that reformats Kotlin source code to comply with the common community standard for Kotlin code conventions.

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

Uses google-java-format's underlying engine; Uses a 2-space indent
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
0
Stacks
16
Followers
3
Followers
14
Votes
0
Votes
0
Integrations
Kotlin
Kotlin
Kotlin
Kotlin

What are some alternatives to ktfmt, 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.

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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