🌱 GayaCode

Analyze the environmental impact of your Node.js code with beautiful dashboards and actionable insights

GayaCode is a powerful CLI tool that measures and visualizes the environmental impact of your Node.js applications. Get detailed insights into energy consumption, CO₂ emissions, and receive actionable recommendations to make your code more sustainable.

✨ Features

• 🔋 Energy Consumption Analysis - Track real-time energy usage
• 🌍 CO₂ Emission Calculations - See your carbon footprint
• 📊 Beautiful Interactive Dashboards - Stunning visualizations with animations
• 🌊 Live Carbon Flow Visualization - Real-time particle effects
• � Virtual Forest Impact - See how many trees you'd need
• ⚡ Power Consumption Radar - Multi-dimensional performance analysis
• 🎯 Eco Score Rating - Get graded on environmental impact (A+ to F)
• 📈 Scaling Projections - See impact at different scales
• 🌍 Real-World Equivalents - Compare to everyday activities
• 🏗️ SOLID Architecture - Clean, modular, and extensible code

🚀 Installation

Global Installation (Recommended)

npm install -g gayacode

Local Installation

npm install gayacode
npx gayacode <script>

📖 Usage

Basic Usage

# Analyze a script and open dashboard
gayacode your-script.js

# Analyze without opening browser
gayacode your-script.js --no-open

# Custom output directory
gayacode your-script.js -o ./my-reports

# Custom emission factor
gayacode your-script.js --emission-factor 500

Advanced Options

gayacode --help

Usage: gayacode [options] <script>

🌱 Analyze the environmental impact of your Node.js code

Arguments:
  script                      Path to the Node.js script to analyze

Options:
  -V, --version               output the version number
  -o, --output <path>         Output directory for the dashboard (default: "./gayacode-report")
  --no-open                   Skip opening the dashboard in browser
  --emission-factor <factor>  CO₂ emission factor (g/kWh) (default: "400")
  --timeout <ms>              Maximum execution time (ms) (default: "60000")
  -h, --help                  display help for command

📊 Dashboard Features

Performance Timeline

• Real-time CPU and memory usage graphs
• Interactive Chart.js visualizations
• Detailed execution metrics

Carbon Flow Visualization

• Animated particle system
• Real-time CO₂ flow representation
• Dynamic color coding based on emission rates

Virtual Forest Impact

• Growing tree animations
• Calculate trees needed to offset emissions
• Beautiful forest visualization with seasonal effects

Power Consumption Radar

• Multi-dimensional performance analysis
• CPU efficiency, memory usage, execution speed
• Interactive radar charts

Real-World Impact

• Energy equivalents (smartphone charges, LED hours, etc.)
• Carbon equivalents (tree years, car km, flight km)
• Scaling projections (1K, 1M, 1B executions)

🏗️ Architecture

GayaCode follows SOLID principles with a clean, modular architecture:

src/
├── core/interfaces/         # Core interfaces and types
├── monitoring/             # Process monitoring strategies
├── calculations/           # Environmental calculation strategies
├── utils/                 # Utility functions and formatters
├── dashboard/
│   ├── components/        # Modular dashboard components
│   ├── templates/         # HTML template engine
│   └── DashboardGenerator.js
├── analyzer/              # Main environmental analyzer
└── cli/                   # Command-line interface

Key Components

• Strategy Pattern: Pluggable monitoring and calculation strategies
• Component-Based: Modular dashboard components
• Dependency Injection: Clean separation of concerns
• Template Engine: Flexible HTML generation
• Interface Segregation: Well-defined contracts

🎯 Eco Score Rating

GayaCode provides a comprehensive eco score (0-100) with letter grades:

• A+ (90-100): Excellent - Minimal environmental impact
• A (80-89): Very Good - Low environmental impact
• B (70-79): Good - Moderate environmental impact
• C (60-69): Fair - Room for improvement
• D (50-59): Poor - Significant environmental impact
• F (0-49): Very Poor - High environmental impact

🌍 Environmental Metrics

Energy Consumption

• Real-time power usage calculation
• CPU and memory power coefficients
• High-precision timing measurements

CO₂ Emissions

• Configurable emission factors
• Grid-based carbon intensity
• Regional emission calculations

Real-World Equivalents

• Smartphone battery charges
• LED light hours
• Laptop usage time
• Tree absorption years
• Car driving distance
• Flight emissions

📈 Example Output

🌱 GayaCode - Environmental Impact Analyzer v2.0

✅ Analysis complete

📊 Quick Results:
   ⚡ Energy: 0.59 µWh
   🌍 CO₂: 0.0002 g
   ⏱️  Time: 1242 ms
   🖥️  Peak CPU: 160.0%
   💾 Peak Memory: 156.7 MB
   🎯 Eco Score: 61/100 (B)

📁 Report saved to: ./gayacode-report/index.html

�️ Programmatic Usage

You can also use GayaCode programmatically in your Node.js applications:

import { EnvironmentalAnalyzer } from 'gayacode'

const analyzer = new EnvironmentalAnalyzer({
  emissionFactor: 400,
  maxExecutionTime: 60000
})

const result = await analyzer.analyzeScript('./my-script.js')
console.log(`Eco Score: ${result.ecoScore.overall}/100`)
console.log(`CO₂ Emissions: ${result.metrics.co2Grams}g`)

🤝 Contributing

We welcome contributions! Please see our Contributing Guide for details.

Development Setup

git clone https://github.com/shalevo13/GayaCode.git
cd GayaCode
npm install
npm run dev test-script.js

� License

MIT © GayaCode Contributors

� Acknowledgments

• Built with ❤️ for a more sustainable future
• Inspired by the need for environmentally conscious software development
• Uses pidusage for process monitoring
• Visualizations powered by Chart.js

Made with 🌱 by developers who care about the planet

• Local execution (no cloud resources)
• Efficient monitoring algorithms
• Optimized frontend bundle size
• Sustainable development practices

Made with 🌱 for sustainable software development