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  1. Stackups
  2. DevOps
  3. Code Review
  4. Code Review
  5. Checkstyle vs PMD

Checkstyle vs PMD

OverviewComparisonAlternatives

Overview

Checkstyle
Checkstyle
Stacks132
Followers107
Votes0
GitHub Stars8.7K
Forks3.9K
PMD
PMD
Stacks46
Followers111
Votes0
GitHub Stars5.2K
Forks1.5K

Checkstyle vs PMD: What are the differences?

Introduction

Checkstyle and PMD are both popular static code analysis tools used in software development to identify and highlight potential errors and code quality issues. While they serve a similar purpose, there are several key differences between the two.

  1. Scope of Analysis: The key difference between Checkstyle and PMD lies in the scope of analysis they perform. Checkstyle primarily focuses on enforcing coding style and standards, ensuring that the code follows a consistent and uniform format. On the other hand, PMD emphasizes on finding potential bugs, coding errors, and performance issues in the codebase.

  2. Customizability and Extensibility: Checkstyle provides a highly customizable and extensible framework, allowing developers to define their own coding standards and rules. This flexibility enables teams to enforce specific guidelines tailored to their project requirements. In contrast, while PMD also supports some level of customization, it is less flexible compared to Checkstyle, often relying on predefined rulesets.

  3. Supported Languages: Checkstyle is predominantly used for Java code analysis. It offers strong support for Java-specific syntax and conventions. PMD, on the other hand, supports multiple programming languages including Java, JavaScript, XML, SQL, and more. This broader language support makes PMD a more versatile choice for projects involving different programming languages.

  4. Rule Coverage: Checkstyle has an extensive set of predefined rules that cover various aspects of coding style, ranging from naming conventions to code formatting and documentation. It provides in-depth coverage of code style analysis. In contrast, while PMD also offers a large number of built-in rules, its primary focus is on code quality and potential bugs. Therefore, PMD may not have the same level of coverage in terms of coding style rules as Checkstyle.

  5. Reporting and Integration: Checkstyle and PMD provide different reporting formats and integration options. Checkstyle outputs its analysis results in XML and HTML formats, making it easy to integrate with other tools or generate user-friendly reports. PMD, on the other hand, primarily generates reports in HTML and XML, but also offers integrations with popular IDEs like Eclipse and IntelliJ IDEA, providing seamless integration into the development workflow.

  6. Rule Types: Checkstyle and PMD use different types of rules to identify issues in the codebase. Checkstyle primarily uses static rules, which can be defined and configured at compile-time. PMD, on the other hand, utilizes both static and dynamic rules. Static rules are defined at compile-time, while dynamic rules can be defined at runtime, making PMD more flexible in some scenarios.

In Summary, Checkstyle focuses on enforcing coding style and standards, providing extensive customization options, and strong support for Java. PMD, on the other hand, emphasizes identifying potential bugs, offers broader language support, and provides dynamic rule configurations.

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Manual

Detailed Comparison

Checkstyle
Checkstyle
PMD
PMD

It is a development tool to help programmers write Java code that adheres to a coding standard. It automates the process of checking Java code to spare humans of this boring (but important) task. This makes it ideal for projects that want to enforce a coding standard.

It is a source code analyzer. It finds common programming flaws like unused variables, empty catch blocks, unnecessary object creation, and so forth. It includes CPD, the copy-paste-detector.

-
supports multiple languages; enforce a coding standard for your codebase; built-in checks
Statistics
GitHub Stars
8.7K
GitHub Stars
5.2K
GitHub Forks
3.9K
GitHub Forks
1.5K
Stacks
132
Stacks
46
Followers
107
Followers
111
Votes
0
Votes
0
Integrations
IntelliJ IDEA
IntelliJ IDEA
Java
Java
Gradle
Gradle
Windows
Windows
Java
Java
Linux
Linux
macOS
macOS

What are some alternatives to Checkstyle , PMD?

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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