Monte Carlo Simulator

A web-based Monte Carlo simulation tool that allows users to define variables with different probability distributions, create formulas, and analyze simulation results with visualizations.

Features

• Define multiple random variables with various distribution types:

  • Normal distribution
  • Uniform distribution
  • Triangular distribution
  • Log-normal distribution
  • Beta distribution
  • Constant values

• Create formulas using defined variables

• Run Monte Carlo simulations with configurable number of iterations

• Visualize results with:

  • Probability distribution histograms
  • Cumulative distribution function (CDF) curves
  • Sensitivity analysis
  • Scatter plots to explore variable relationships
  • Statistical summaries

• Save and load simulation scenarios

Installation

1. Clone the repository:

git clone https://github.com/yourusername/monte-carlo-simulator.git
cd monte-carlo-simulator

2. Create and activate a virtual environment (optional but recommended):

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

3. Install dependencies:

pip install -r requirements.txt

4. Run the application:

python app.py

5. Open your browser and navigate to:

http://127.0.0.1:5000/

Usage

1. Define Variables: Click "Add Variable" to create random variables with different distribution types
2. Create Formulas: Define mathematical formulas using your variables
3. Set Simulation Parameters: Choose the number of simulation iterations
4. Run Simulation: Click "Run Simulation" to execute the Monte Carlo analysis
5. View Results: Explore the generated visualizations and statistical data
6. Save/Load Scenarios: Save your configurations for later use

Example Use Cases

• Project cost estimation with uncertainty
• Risk analysis for financial investments
• Engineering reliability assessments
• Supply chain optimization
• Portfolio risk management
• Sales forecasting with multiple variables

Technologies Used

• Backend: Python, Flask, NumPy, SciPy, Pandas
• Frontend: HTML, CSS, JavaScript, Bootstrap, Plotly.js, Chart.js

License

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