🌱 EcoCode SCI Monitor

A powerful VS Code extension that analyzes your code execution, estimates energy usage, and calculates Software Carbon Intensity (SCI) while providing advanced sustainability intelligence and optimization insights.

🚀 Overview

EcoCode SCI Monitor helps developers understand and reduce the environmental impact of their code with real-time analysis and smart insights.

✅ Now enhanced with:

• 🔮 Predictive carbon simulation
• ⚡ Optimization impact analysis
• 🧬 Developer sustainability profiling
• ☁️ Cloud-aware carbon adjustment

⚙️ How It Works

When a file is executed:

1. ✅ Code is analyzed (multi-language support)

2. ✅ File is executed using runtime

3. ✅ System metrics are captured:

   • CPU usage
   • Memory usage
   • Execution time

4. ✅ Energy usage is estimated

5. ✅ Carbon emissions are calculated

6. ✅ Cloud impact is applied

7. ✅ SCI score is computed

8. ✅ Smart insights and optimization suggestions are generated

🌍 SCI Formula

SCI = ((E × CI) + M) / R Where:

• E = Estimated energy (kWh)
• CI = Carbon intensity (region-based)
• M = Embodied carbon
• R = Functional unit (per execution = 1)

✅ Features

⚡ Real-Time File Analysis

• Instant analysis on file save or change
• Live CPU, memory, and carbon impact

📁 Project-Level Analysis

• Scan entire project
• Aggregate sustainability metrics

🌍 Region-Based Carbon Calculation

• Auto-detects user location
• Applies region-specific carbon intensity

☁️ Cloud-Aware Carbon Impact ✅ NEW

• Supports:

  • Azure
  • AWS
  • GCP
  • On-Prem

• Adjusts emissions based on infrastructure efficiency

🔋 Energy Estimation Engine

• CPU + memory-based estimation
• Lightweight and fast

🌱 SCI Calculation

• Aligned with Green Software Foundation principles
• Includes:
  • Compute emissions
  • Embodied carbon

📊 Dashboard UI

Modern dashboard visualizing:

• ⚡ CPU
• 🧠 Memory
• 🌍 Carbon
• 🌱 SCI
• 📈 Historical trends
• 🔥 File efficiency heatmap

📈 Chart Visualization

• Multi-metric line chart
• Tracks:
  • CPU
  • Memory
  • Carbon

media/dashboard.png
media/dashboard-1.png

🔥 File Efficiency Heatmap

Visual representation of file-level impact:

🔮 Predictive Carbon Impact ✅ NEW

Simulates future impact:

• Large-scale execution
• Increased traffic
• Long-term usage

Example: Predicted Carbon: 168,000+ g CO₂

⚡ Optimization Simulation ✅ NEW

Shows real impact of improvements:

• Remove logs → carbon reduction
• Optimize loops → CPU reduction
• Cache API calls → energy savings

👉 Dynamic and based on your actual code

🧬 Developer Sustainability Profile ✅ NEW

Tracks coding patterns and behavior:

• CPU-heavy coding
• Loop-intensive logic
• Logging-heavy development

Example: Profile: Balanced Developer

💡 Smart Suggestions Engine ✅ NEW

Provides actionable recommendations:

• Reduce CPU usage
• Optimize memory
• Minimize network calls
• Improve code efficiency

🧠 Smart Insights

Automatically detects:

• Compute-heavy code
• Memory bottlenecks
• High carbon impact
• Inefficient patterns

🏆 Sustainability Scoring

• Score range: 0–100
• Grades:
  • A ✅ (Highly efficient)
  • B 👍 (Optimized)
  • C ⚠️ (Needs improvement)
  • D 🔴 (Inefficient)

🎮 Commands

📊 Example Output

================================================== 📄 File: app.js 🌍 Region: IN ☁️ Cloud Provider: Azure ⚡ CPU: 25.00% 🧠 Memory: 0.50 MB 🔋 Energy: 0.00001234 kWh 🏭 Embodied Carbon: 0.000056 g 🌍 Carbon (Total): 0.6543 g 🌱 SCI: 0.002345 🌱 Sustainability Score: 92.10 🏆 Grade: A ✅ 🧠 Type: Balanced 💡 Insight: Efficient 🔮 Predicted Carbon: 168000.00 g 🧬 Developer Profile: Balanced Developer

🧩 Supported Languages

✅ Works across ALL major programming languages:

• JavaScript / TypeScript
• Python
• Java
• C / C++
• C#
• Go
• PHP
• Ruby
• Rust
• Shell

⚠️ Important Note

This tool provides:

✅ SCI-based estimation
✅ Developer-level sustainability insights
✅ Optimization intelligence

But:

• ❌ Uses estimated energy (not hardware-level measurement)
• ❌ Uses region-based carbon intensity (not real-time grid data)
• ❌ Not intended for regulatory or audit compliance

🌍 Why Use EcoCode?

EcoCode enables you to:

✅ Understand your code’s carbon footprint
✅ Optimize performance + efficiency
✅ Build sustainable software
✅ Reduce energy consumption
✅ Make cloud-aware decisions
✅ Improve developer practices

🚀 Future Roadmap

• 🤖 AI-based auto code optimization
• 📊 Cloud comparison dashboard
• 📄 Export sustainability reports (PDF)
• 👥 Team-level sustainability insights

🏆 Vision

Build the first Universal Sustainable Code Intelligence Platform
combining runtime metrics, code analysis, and environmental impact.