What metrics does the Code Quality Analyzer check?

Our analyzer evaluates multiple quality metrics including Cyclomatic Complexity, Maintainability Index, Lines of Code, Depth of Nesting, Code Duplication, Variable naming conventions, Function length, and Dependencies. It also checks for common anti-patterns, security vulnerabilities, and performance bottlenecks.

How does the JavaScript analysis work?

The tool uses Esprima to parse JavaScript into an Abstract Syntax Tree (AST), then applies ESComplex algorithms to calculate complexity metrics. It checks against established coding standards like Airbnb and Google style guides, identifies potential bugs using pattern matching, and provides context-aware suggestions based on modern JavaScript best practices.

Can I analyze multiple files or entire projects?

Currently, the tool analyzes single files or code snippets up to 50,000 characters. For each analysis, you receive a detailed report with file-level and function-level metrics, specific line-by-line issues, and prioritized improvement suggestions. You can export results for documentation or team review.

Is my code secure when using this analyzer?

Absolutely! All code analysis happens entirely in your browser using client-side JavaScript. No code is ever sent to our servers or stored anywhere. Your proprietary code remains completely private and secure throughout the analysis process.

What coding standards does the analyzer follow?

The analyzer checks against industry-standard guidelines including ES6+ best practices, SOLID principles, DRY (Don't Repeat Yourself), KISS (Keep It Simple), clean code principles, and security standards from OWASP. It also provides modern JavaScript patterns and async/await optimizations.

Code Quality Analyzer

Elevate your JavaScript code quality with our comprehensive analysis tool. Using advanced AST parsing and complexity metrics, identify code smells, performance bottlenecks, security vulnerabilities, and maintainability issues. Features cyclomatic complexity analysis, best practice validation, performance optimization tips, and detailed refactoring suggestions for cleaner, more efficient code.

Complexity Analysis Bug Detection Best Practices Performance Tips Security Scanning

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JavaScript Code Input

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Complexity Analysis Best Practices Security Issues Performance Accessibility (DOM)

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Comprehensive quality metrics and suggestions

JavaScript Best Practices

Clean Code Principles

• Keep functions small and focused
• Use descriptive variable names
• Avoid deep nesting (max 3 levels)
• Follow DRY principle

Security Guidelines

• Validate all user input
• Avoid eval() and new Function()
• Use strict mode
• Sanitize DOM manipulation

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