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https://github.com/peplxx/probability-explorer

Interactive web application for exploring and visualizing probability distributions
https://github.com/peplxx/probability-explorer

data-visualization distribution educational-tool matplotlib-pyplot probability statistics streamlit-app

Last synced: 22 days ago
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Interactive web application for exploring and visualizing probability distributions

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README

        

# Probability Explorer 🌐
[![Python](https://img.shields.io/badge/python-3.10%2B-blue.svg)](https://www.python.org/downloads/)
[![Streamlit](https://img.shields.io/badge/Streamlit-1.28.0-FF4B4B.svg)](https://streamlit.io)
[![License](https://img.shields.io/badge/License-MIT-green.svg)](https://opensource.org/licenses/MIT)
[![GitHub stars](https://img.shields.io/github/stars/peplxx/probability-explorer.svg)](https://github.com/peplxx/probability-explorer/stargazers)
[![GitHub issues](https://img.shields.io/github/issues/peplxx/probability-explorer.svg)](https://github.com/peplxx/probability-explorer/issues)

> Observe [multivariative normal distribution](https://en.wikipedia.org/wiki/Multivariate_normal_distribution) plot
![image](https://github.com/user-attachments/assets/ecc61f1d-7cf8-4b89-a1b4-95e6b57f8fe5)

> Observe [Multinomial distribution](https://en.wikipedia.org/wiki/Multinomial_distribution) plot
![image](https://github.com/user-attachments/assets/bc4487dd-a9a6-4938-901e-c5d8702e9ee0)

>Simulate [random walks](https://en.wikipedia.org/wiki/Random_walk) and observe their statistical properties
![image](https://github.com/user-attachments/assets/ba96399e-e09a-4e9e-9fdf-1520c9c6de2b)

> Estimate π using [Monte Carlo method](https://en.wikipedia.org/wiki/Monte_Carlo_method)
![image](https://github.com/user-attachments/assets/1f558bb3-321b-42d2-be85-656aafe6eb19)

An interactive web application for exploring and visualizing probability distributions. This tool helps users understand both continuous and discrete probability distributions through interactive plots, mathematical formulas, and key properties.

## Features

- Interactive plots for continuous and discrete distributions
- Real-time parameter adjustments
- Mathematical formulas and key properties
- Clean and intuitive interface

## Installation

1. Clone the repository:

```bash
git clone https://github.com/peplxx/probability-explorer.git
```
2. Install uv:

```bash
pip install uv
```

3. Install dependencies:

```bash
uv sync
```

4. Run the application:

```bash
uv run streamlit run main.py
```