A web-based mathematical function plotting tool with Python backend and D3.js frontend.

• 🧮 Mathematical Expression Evaluation: Parse and evaluate complex mathematical expressions using NumPy and numexpr
• 🔄 Multi-variable Support: Handle expressions with multiple parameters and variables
• ⚡ High Performance: Vectorized computations with intelligent caching
• 🛡️ Security: Safe expression parsing with protection against code injection
• 📊 REST API: Clean, documented API endpoints for frontend integration
• 🎯 Comprehensive Function Support: Trigonometric, logarithmic, exponential, and polynomial functions

• 📈 Interactive Graphing: Smooth, real-time graph rendering with D3.js
• 🔄 Dual Range System:
  • Default Display: [-10, 10] for focused view
  • Full Computation: [-30, 30] for comprehensive data
  • Toggle Range: Instantly switch between zoomed and full views
• 🎛️ Real-time Parameter Updates: Interactive sliders for multi-variable expressions
• 🎨 Color-coded Interface: Consistent color scheme across UI and graphs
• 📱 Responsive Design: Works seamlessly on desktop and mobile devices
• 🔄 Offline Mode: Limited functionality when backend is unavailable
• 📊 Multi-function Support: Plot and manage multiple functions simultaneously
• 💾 Export Functionality: Download graphs as PNG or SVG

./start.sh

start.bat

That's it! The app will be running at http://localhost:3000

\backend\src> python -m uvicorn main:app --host <private_ip> --port 3000

• Installs dependencies automatically (handles managed environments)
• Starts server immediately
• Works in any Python environment (Linux, Mac, Windows)

Note: If you see "externally-managed-environment" message, that's normal! The script handles it automatically.

./quick-setup.sh  # Creates venv
./start_grapher.sh  # Uses venv

1. ./setup.sh (or setup.bat on Windows):

   • Creates a Python virtual environment automatically
   • Installs all required dependencies
   • Creates startup scripts
   • Sets up configuration

2. ./start_grapher.sh (or start_grapher.bat):

   • Activates the virtual environment
   • Starts the FastAPI server
   • Runs on http://localhost:3000

• Main App: http://localhost:3000
• API Documentation: http://localhost:3000/docs

• Usage Guide - How to use the application, examples, features

• API Documentation - REST API endpoints, architecture, security
• Development Guide - Testing, configuration, project structure
• OpenSpec Process - AI-assisted development methodology

# Run backend tests
cd backend && python -m pytest tests/ -v

# Run with coverage
cd backend && python -m pytest tests/ --cov=src

This project is licensed under MIT License.