Stack Performance Analyzer

A comprehensive Node.js application stack analyzer that evaluates MEAN, MERN, and other Node.js-based applications across 15 performance criteria using sophisticated algorithms rather than random scoring.

Features

🔍 Comprehensive Analysis: Evaluates applications across 15 key performance criteria:

1. Application Performance - Framework efficiency, code structure, caching
2. Developer Productivity - Tooling support, learning curve, community
3. API Response Time - Framework efficiency, database optimization
4. Learning Curve - Documentation quality, complexity assessment
5. Security Features - Authentication, validation, vulnerability analysis
6. Tooling & Ecosystem Support - Development tools integration
7. Integration with MongoDB - Database connectivity and optimization
8. Modularity & Scalability - Code organization and scalability patterns
9. Package Ecosystem - Dependency management and quality
10. Startup Time - Application bootstrap performance
11. Maintenance and Debugging - Code maintainability metrics
12. Hosting and Deployment Flexibility - Deployment options assessment
13. Memory & CPU Efficiency - Resource utilization analysis
14. Performance under Concurrent Load - Scalability assessment
15. Monitoring and Observability - Logging and monitoring capabilities

🎯 Algorithmic Scoring: Uses sophisticated algorithms to analyze:

• Code complexity and patterns
• Dependency analysis
• Framework characteristics
• Security implementations
• Performance optimizations

📊 Detailed Reporting: Provides:

• Individual criterion scores (0-100)
• Performance remarks (Excellent, Best, Good, Average, Poor)
• Overall weighted score
• Specific recommendations for improvement
• Stack detection (MEAN, MERN, Express.js, etc.)

Installation

# Install dependencies
npm install

# Make CLI globally available (optional)
npm link

Usage

Command Line Interface

# Analyze current directory
npm run analyze

# Or use the CLI directly
node bin/cli.js

# Analyze specific project
node bin/cli.js /path/to/your/project

# Save results to JSON file
node bin/cli.js . --save results.json

# Show verbose output
node bin/cli.js . --verbose

# Output as JSON
node bin/cli.js . --output json

Programmatic Usage

const ApplicationAnalyzer = require('./index');

const analyzer = new ApplicationAnalyzer({
  projectPath: '/path/to/project'
});

analyzer.analyze()
  .then(results => {
    console.log('Analysis complete!');
    console.log('Overall Score:', results.overall.score);
    console.log('Performance:', results.overall.remark);
    
    // Individual criterion results
    results.criteria.forEach(criterion => {
      console.log(`${criterion.name}: ${criterion.score}/100 (${criterion.remark})`);
    });
  })
  .catch(error => {
    console.error('Analysis failed:', error);
  });

How It Works

Algorithmic Approach

This analyzer uses sophisticated algorithms rather than random number generation:

1. Stack Detection: Analyzes package.json to identify technology stack
2. Weighted Scoring: Each criterion has specific weight based on importance
3. Multi-Factor Analysis: Each criterion evaluates multiple factors:
   • Code structure and complexity
   • Dependency analysis
   • Configuration file analysis
   • Best practice pattern detection
   • Security implementation analysis

Example Analysis Process

Application Performance (12% weight):

• Framework Performance (30%): Analyzes framework choice and characteristics
• Code Structure (25%): Evaluates code complexity and patterns
• Database Integration (20%): Checks for optimization patterns
• Asset Management (15%): Build tools and optimization
• Caching Implementation (10%): Caching strategy analysis

Security Features (9% weight):

• Authentication (30%): JWT, Passport, session management
• Data Validation (25%): Input validation libraries and patterns
• Security Headers (20%): Helmet, CORS implementation
• Vulnerability Assessment (25%): Dependency security analysis

Sample Output

📊 STACK PERFORMANCE ANALYSIS RESULTS
============================================================
Application Performance          |  87/100 | Best
Developer Productivity           |  92/100 | Excellent  
API Response Time               |  78/100 | Good
Learning Curve                  |  85/100 | Best
Security Features               |  71/100 | Good
Tooling & Ecosystem Support     |  88/100 | Best
Integration with MongoDB        |  82/100 | Best
Modularity & Scalability        |  76/100 | Good
Package Ecosystem              |  84/100 | Best
Startup Time                   |  73/100 | Good
Maintenance and Debugging      |  79/100 | Good
Hosting and Deployment         |  81/100 | Best
Memory & CPU Efficiency        |  75/100 | Good
Performance under Load         |  77/100 | Good
Monitoring and Observability   |  69/100 | Average
------------------------------------------------------------
OVERALL PERFORMANCE            |  80/100 | Best

✅ Analysis Complete

🔧 Detected Stack Information:
Stack Type: MERN
Technologies: MongoDB, Express.js, React, Node.js
Node.js Version: 18.17.0

Supported Stacks

• MEAN Stack (MongoDB, Express.js, Angular, Node.js)
• MERN Stack (MongoDB, Express.js, React, Node.js)
• Express.js Applications
• Fastify Applications
• Koa Applications
• React Applications
• Vue.js Applications
• Generic Node.js Applications

Architecture

├── analyzers/           # Individual criterion analyzers
│   ├── BaseAnalyzer.js  # Base class with common functionality
│   ├── ApplicationPerformanceAnalyzer.js
│   ├── DeveloperProductivityAnalyzer.js
│   └── ... (15 total analyzers)
├── lib/
│   └── StackAnalyzer.js # Main analyzer coordination
├── bin/
│   └── cli.js          # Command line interface
├── index.js            # Main entry point
└── package.json        # Project configuration

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Changelog

v1.0.0

• Initial release with 15 comprehensive analysis criteria
• Algorithmic scoring system (no random numbers)
• Support for major Node.js stacks (MEAN, MERN, etc.)
• CLI and programmatic interfaces
• Detailed reporting with recommendations

AUTHOR

Gugan M K