JaCoCo vs PMD

Overview

JaCoCo

Stacks223

Followers82

Votes0

GitHub Stars4.4K

Forks1.2K

PMD

Stacks46

Followers111

Votes0

GitHub Stars5.2K

Forks1.5K

JaCoCo vs PMD: What are the differences?

1. Code coverage vs code quality analysis: JaCoCo primarily focuses on measuring code coverage, which identifies the percentage of code that is executed during the testing process. It helps in identifying areas of the code that have not been tested adequately. On the other hand, PMD is a code quality analysis tool that focuses on identifying potential issues and violations of coding standards in the codebase.
2. JaCoCo is language-agnostic, PMD is Java-specific: JaCoCo supports multiple programming languages, including Java, Kotlin, and Groovy, making it suitable for a wider range of projects. PMD, however, is specifically designed for analyzing Java code and does not support other languages.
3. JaCoCo is primarily a runtime tool, PMD is a static analysis tool: JaCoCo collects data during the runtime of tests, providing information about code coverage and execution paths. PMD, on the other hand, performs static analysis of the source code without requiring the code to be executed. It examines the code structure and syntax to identify potential issues and coding violations.
4. Different types of issues detected: JaCoCo primarily detects issues related to code coverage, such as identifying code blocks that have not been executed or tested adequately. PMD, on the other hand, detects a wide range of coding issues, including potential bugs, unused variables, inefficient code, and violations of coding standards.
5. Integration with other tools: JaCoCo can be easily integrated with build tools like Maven and Gradle and can generate code coverage reports that can be viewed in various formats. PMD can also be integrated with build tools and IDEs but focuses on providing detailed reports about code quality issues and suggestions for improvement.
6. Different levels of integration: JaCoCo is typically integrated into the testing process and requires test cases to be executed to collect data on code coverage. PMD can be integrated into the development process and can be used to identify coding issues early in the development lifecycle, even before writing test cases.

In Summary, JaCoCo focuses on code coverage analysis at runtime for multiple languages, while PMD is a static code analysis tool specifically designed for Java that detects a wider range of coding issues.

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Detailed Comparison

JaCoCo	PMD
It is a free code coverage library for Java, which has been created based on the lessons learned from using and integration existing libraries for many years.	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 4.4K	GitHub Stars 5.2K
GitHub Forks 1.2K	GitHub Forks 1.5K
Stacks 223	Stacks 46
Followers 82	Followers 111
Votes 0	Votes 0
Integrations
No integrations available	Gradle Windows Java Linux macOS

What are some alternatives to JaCoCo, PMD?

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.

Related Comparisons

JaCoCo vs PMD: What are the differences?

1. Code coverage vs code quality analysis: JaCoCo primarily focuses on measuring code coverage, which identifies the percentage of code that is executed during the testing process. It helps in identifying areas of the code that have not been tested adequately. On the other hand, PMD is a code quality analysis tool that focuses on identifying potential issues and violations of coding standards in the codebase.
2. JaCoCo is language-agnostic, PMD is Java-specific: JaCoCo supports multiple programming languages, including Java, Kotlin, and Groovy, making it suitable for a wider range of projects. PMD, however, is specifically designed for analyzing Java code and does not support other languages.
3. JaCoCo is primarily a runtime tool, PMD is a static analysis tool: JaCoCo collects data during the runtime of tests, providing information about code coverage and execution paths. PMD, on the other hand, performs static analysis of the source code without requiring the code to be executed. It examines the code structure and syntax to identify potential issues and coding violations.
4. Different types of issues detected: JaCoCo primarily detects issues related to code coverage, such as identifying code blocks that have not been executed or tested adequately. PMD, on the other hand, detects a wide range of coding issues, including potential bugs, unused variables, inefficient code, and violations of coding standards.
5. Integration with other tools: JaCoCo can be easily integrated with build tools like Maven and Gradle and can generate code coverage reports that can be viewed in various formats. PMD can also be integrated with build tools and IDEs but focuses on providing detailed reports about code quality issues and suggestions for improvement.
6. Different levels of integration: JaCoCo is typically integrated into the testing process and requires test cases to be executed to collect data on code coverage. PMD can be integrated into the development process and can be used to identify coding issues early in the development lifecycle, even before writing test cases.

JaCoCo vs PMD

Overview