Monte Carlo Engine is a web-based simulation tool that leverages the Monte Carlo method to generate probabilistic outcomes based on user-defined parameters. It allows users to input variables, set ranges and weights, and run randomized simulations to analyze probability distributions and interactions.
Live Demo: Monte Carlo Engine
- Dynamic Parameter Input – Define multiple parameters with adjustable min/max values and weights.
- Monte Carlo Simulation – Runs thousands of randomized trials to generate outcome distributions.
- Probability Analysis – Displays top outcomes with probability percentages.
- Interaction Effects – Simulates parameter dependencies and influences.
- Visualizations – Interactive bar charts and pie charts for insights.
- Customizable Iterations – Choose simulation intensity for accuracy vs. speed.
The Monte Carlo Engine is a browser-based tool, and no installation is required. Simply visit the live demo or clone the repository for local use.
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Clone the repository:
git clone https://github.com/thatsinewave/Monte-Carlo-Engine.git cd Monte-Carlo-Engine -
Open
index.htmlin a web browser.
- Add parameters (name, range, weight).
- Set the number of iterations (higher = more accuracy).
- Run the simulation.
- View probability distributions and parameter influences.
Feel free to submit issues or contribute improvements via pull requests.
This project is open-source and available under the MIT License
