PMD is an extensible multilingual static code analysis tool mainly used to detect common programming defects in languages such as Java and Apex. It supports 16 languages and more than 400 built - in rules and includes a duplicate code detection function.
2 points
8.7K

What is PMD?

PMD is a powerful static code analysis tool that discovers potential problems and bad practices by scanning source code without actually running the program. It's like an experienced code reviewer that can automatically identify various issues in the code, helping developers write higher - quality and more maintainable code.

How to use PMD?

PMD offers multiple usage methods: you can directly download the binary package and run it via the command line, integrate it into build tools such as Maven and Gradle, or install it as a plugin in various IDEs. The basic usage process includes: downloading and installing, configuring rules, running analysis, and viewing reports.

Applicable Scenarios

PMD is particularly suitable for the following scenarios: 1. Team code quality assurance 2. Code review automation 3. Enforcement of coding standards 4. Identification of technical debt 5. Training for new developers on code quality 6. Quality gate in the continuous integration process

Main Features

Multilingual Support
Supports 17 programming languages, including Java, JavaScript, Kotlin, Swift, Python, Go, etc., meeting the needs of different technology stacks.
Rich Rule Library
Comes with more than 400 code inspection rules covering multiple aspects such as code quality, performance, security, and best practices.
Code Duplication Detection (CPD)
Built - in Copy - Paste Detector can automatically identify duplicate code fragments, helping to reduce code redundancy.
Extensibility
Supports custom rule development. You can create inspection rules for specific requirements by writing in Java or using XPath queries.
Multiple Integration Methods
Provides multiple usage methods such as command - line tools, build tool plugins, and IDE plugins, adapting to different development workflows.
Open - Source and Free
Completely open - source and free, licensed under the BSD license, allowing free use, modification, and distribution.
Advantages
Supports multiple programming languages, with a wide range of applications
Rich and continuously updated rules
Open - source and free, with an active community
Easy to integrate into existing development processes
Provides detailed error reports and repair suggestions
Supports custom rule extensions
Limitations
Support for some languages may not be as comprehensive as specialized tools
May require a certain learning cost to understand all rules
The false - positive rate needs to be adjusted according to the actual situation of the project
Analysis of large projects may take a long time

How to Use

Download and Install
Download the latest version of the binary package from the GitHub Releases page and extract it to a local directory.
Basic Usage
Use the command - line tool to analyze the source code directory and specify the rule set to be used.
Code Duplication Detection
Use the CPD function to detect duplicate code fragments in the code.
Integration into Build Tools
Add the PMD plugin to the Maven or Gradle configuration to achieve automated code inspection.

Usage Examples

Java Project Code Quality Check
Conduct a comprehensive code quality check on a Java Web project, including code specifications, performance issues, potential bugs, etc.
JavaScript Code Duplication Detection
Check if there are duplicate code fragments in the front - end JavaScript project and optimize the code structure.
Team Coding Standard Check
Use a custom rule set to check if the team complies with specific coding standards.

Frequently Asked Questions

What's the difference between PMD and SonarQube?
How to reduce false positives?
Which IDEs does PMD support?
How to customize rules?
Will PMD be slow when analyzing large projects?

Related Resources

Official Documentation
Complete PMD usage documentation and API reference
GitHub Repository
PMD source code and issue tracking
Online Discussion Area
User discussions and technical exchanges
Stack Overflow Tag
Technical question - answering
PMD Guru
AI assistant to help solve PMD - related problems
Docker Image
Official Docker image

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
10.1K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
10.7K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
14.5K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.6K
4 points
P
Paperbanana
Python
8.6K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
10.2K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
8.6K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
9.2K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
27.6K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
23.3K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
79.0K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
38.5K
5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
37.8K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
70.9K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
105.0K
4.7 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
56.4K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase