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

CodeNarc vs PMD

OverviewComparisonAlternatives

Overview

PMD
PMD
Stacks46
Followers111
Votes0
GitHub Stars5.2K
Forks1.5K
CodeNarc
CodeNarc
Stacks8
Followers10
Votes0
GitHub Stars327
Forks136

CodeNarc vs PMD: What are the differences?

Key Differences Between CodeNarc and PMD

CodeNarc and PMD are both static code analysis tools that help developers identify and fix potential issues in their code. However, there are several key differences between the two tools.

  1. Supported Languages: CodeNarc is primarily used for analyzing Groovy code, while PMD supports a wider range of languages including Java, JavaScript, XML, and more. This difference in language support makes PMD a more versatile choice for projects that use multiple languages.

  2. Rule Set Flexibility: CodeNarc provides a predefined set of rules that developers can use for code analysis. On the other hand, PMD allows developers to create and customize their own rule sets, giving them more flexibility in the analysis process. This customizability makes PMD a preferred choice for teams with specific coding conventions and requirements.

  3. Integration: CodeNarc can be easily integrated with build tools like Gradle, Maven, Ant, and Grails. PMD also offers seamless integration with build systems like Ant, Maven, and Gradle, but it can also be used as a standalone tool. This flexibility in integration options makes PMD suitable for different development environments.

  4. Community Support: PMD has a larger and more active community compared to CodeNarc. This means that PMD users have access to a wider range of resources, including tutorials, documentation, and community forums, which can be valuable in resolving issues and getting help when needed.

  5. Detection Capabilities: PMD has a wider range of rules and checks compared to CodeNarc. This means that PMD is capable of detecting a broader set of potential issues in code, providing developers with more comprehensive analysis results. However, this can also lead to higher false-positive rates if not tuned properly.

  6. IDE Integration: PMD offers better integration with popular IDEs like Eclipse and IntelliJ IDEA. It provides plugins for these IDEs, allowing developers to run code analysis directly within their development environment. This can improve productivity by providing real-time feedback on code quality while coding.

In summary, CodeNarc is specialized for analyzing Groovy code, has a predefined rule set, and supports easy integration with various build tools. PMD, on the other hand, supports multiple languages, allows customizable rule sets, has a larger community support, offers a wider range of detection capabilities, and provides better IDE integration options. The choice between the two tools depends on specific project requirements and development environment.

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Detailed Comparison

PMD
PMD
CodeNarc
CodeNarc

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.

A flexible framework for rules, rule sets and custom rules means it's easy to configure it to fit into your project. Build tool, framework support, and report generation are all enterprise ready.

supports multiple languages; enforce a coding standard for your codebase; built-in checks
Build tool; Framework support; Report generation
Statistics
GitHub Stars
5.2K
GitHub Stars
327
GitHub Forks
1.5K
GitHub Forks
136
Stacks
46
Stacks
8
Followers
111
Followers
10
Votes
0
Votes
0
Integrations
Gradle
Gradle
Windows
Windows
Java
Java
Linux
Linux
macOS
macOS
Gradle
Gradle
Bitbucket
Bitbucket
SonarQube
SonarQube
Bamboo
Bamboo
Grails
Grails
Apache Maven
Apache Maven

What are some alternatives to PMD, CodeNarc?

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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