SimApp - Monte Carlo Simulation Platform

A comprehensive Monte Carlo simulation platform for financial modeling and risk analysis, designed to work with any kind of Excel file model without hard-coding specific structures.

Project Overview

SimApp is an ultra-engine Monte Carlo simulation platform that provides a robust, scalable solution for running simulations on Excel-based models. This platform is specifically designed to work with any kind of Excel file model, making it truly universal for Monte Carlo simulations.

Git Branch Structure

• development: Active development branch with latest features and updates
• staging: Pre-production testing branch for validation
• production: Stable production-ready code
• master: Main branch (legacy, use production for releases)

Project Structure

SimApp/
├── backend/                 # FastAPI backend with ultra-engine
│   ├── auth/               # Authentication module
│   ├── excel_parser/       # Universal Excel file processing
│   ├── simulation/         # Ultra simulation engine
│   ├── results/           # Results processing and analytics
│   └── gpu/               # GPU acceleration support
└── frontend/              # Modern React frontend
    ├── public/            # Static assets
    └── src/               # Source code
        ├── components/    # React components
        ├── hooks/        # Custom hooks
        ├── pages/        # Page components
        ├── services/     # API services
        ├── store/        # State management
        └── utils/        # Utility functions

Prerequisites

• Python 3.11+
• Node.js 18.x+
• CUDA Toolkit (for GPU support)
• Docker and Docker Compose

Setup Instructions

Backend Setup

1. Create a virtual environment:

   cd backend
   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

2. Install dependencies:

   pip install -r requirements.txt

3. Set up environment variables:

   cp .env.example .env
   # Edit .env with your configuration

4. Run the development server:

   uvicorn main:app --reload

Frontend Setup

1. Install dependencies:

   cd frontend
   npm install

2. Set up environment variables:

   cp .env.example .env
   # Edit .env with your configuration

3. Start the development server:

   npm start

Features

• Excel file upload and parsing
• Triangular probability distribution configuration
• Monte Carlo simulation with GPU acceleration
• Interactive results visualization
• Responsive web interface
• Enterprise-grade security and authentication
• Subscription management with Stripe integration
• Advanced statistical analysis and reporting

📋 Licensing & Commercial Use

✅ COMMERCIAL-FRIENDLY - NO LICENSE FEES REQUIRED

This platform is built entirely on open-source technologies with business-friendly licenses:

• Core Stack: Python, React, FastAPI, PostgreSQL, Redis (MIT/BSD licenses)
• Scientific Computing: NumPy, SciPy, Pandas (BSD licenses)
• Visualization: Chart.js, Plotly.js, Recharts (MIT licenses)
• Infrastructure: Docker, Nginx (Apache 2.0/BSD licenses)
• GPU Acceleration: CUDA Toolkit (free for commercial use)

Key Benefits:

• 🟢 $0 licensing costs vs competitors ($50K-$500K/year)
• 🟢 Full commercial rights - can sell, modify, distribute freely
• 🟢 No copyleft restrictions - no GPL/LGPL dependencies
• 🟢 International compliance - all licenses globally recognized

📄 License Documentation

• Complete License Analysis - Detailed breakdown of all dependencies
• License Attribution Files - Required attribution notices for distribution
• Platform License - Terms for the overall platform

Documentation

• Backend Developer Guide
• Frontend Developer Guide
• Deployment Guide
• Legal & Compliance
• Licensing Analysis

🏢 Commercial Information

Competitive Advantage

• Oracle Crystal Ball: $995-2,995/user/year → Our Platform: $0 licensing
• @RISK: $795-1,995/user/year → Our Platform: $0 licensing
• Palantir Foundry: $50K-500K/year → Our Platform: $0 licensing

Revenue Model Opportunities

1. SaaS Subscription - $29-299/user/month (95%+ margin)
2. Enterprise Licensing - $50K-500K/year (95%+ margin)
3. Professional Services - $200-500/hour consulting
4. White-label Solutions - Custom pricing for partners

License

See LICENSE file for platform licensing terms. See LICENSES/ directory for third-party component attributions.