Phanpy

Phanpy

Phanpy is an open source PHP code analysis tool that helps developers find potential bugs and security issues. It provides static analysis to detect coding issues, identify security risks, enforce style rules, and measure code complexity.
Phanpy image
php static-analysis code-quality security

Phanpy: Open Source PHP Code Analysis Tool

Phanpy is an open source PHP code analysis tool that helps developers find potential bugs and security issues. It provides static analysis to detect coding issues, identify security risks, enforce style rules, and measure code complexity.

What is Phanpy?

Phanpy is an open source PHP static analysis tool developed by Rasmus Lerdorf originally written in PHP. It helps developers analyze their PHP codebases to detect bugs, potential security issues and coding errors by using static analysis. Some key capabilities of Phanpy include:

- Detecting common issues like syntax errors, undefined variables/functions, unused variables, compatibility issues, redundant/dead code

- Enforcing coding conventions and standards like PSR-2

- Estimating code complexity

- Spotting potential security vulnerabilities like SQL injections, XSS, etc.

- Analyzing undeclared variables and classes

- Integration with IDEs like VS Code, Vim, Emacs

By providing advanced static analysis capabilities, Phanpy aims to improve code quality and security for PHP projects. It can complement other QA tools by analyzing code without executing it. With options for configuring custom rulesets, Phanpy can be tailored to different projects. Overall, it helps catch issues early, enforce best practices, and reduce technical debt in PHP codebases.

Phanpy Features

Features

  1. Static code analysis
  2. Detect potential bugs and security issues
  3. Enforce coding style and best practices
  4. Measure code complexity
  5. Extensible with custom rules
  6. Supports multiple programming languages (PHP, JavaScript, etc.)

Pricing

  • Open Source

Pros

Open source and free to use

Provides valuable insights to improve code quality

Helps identify and fix issues early in the development process

Customizable with additional rules and integrations

Cons

May require some setup and configuration

Limited support for some programming languages

Requires developer effort to integrate and act on the analysis results


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