HypoSnitch is a sleek, forensic-themed interactive dashboard designed to perform Binomial Hypothesis Testing. Utilizing the power of exact Binomial cumulative distribution formulas and robust Monte Carlo simulations, it allows Data Scientists, Inspectors, and Students to determine the validity of null hypotheses with absolute clarity.
- Forensic UI Engine: A stunning dark-mode interface built with Tailwind CSS, utilizing a cyberpunk/forensic terminal aesthetic, featuring fully responsive layouts and dynamic navigational hover state tracking.
- Dual Calculations: Calculates and contrasts both Simulated (Monte Carlo N=10,000) and Exact P-Values (utilizing
jStatbinomial distributions). - Dynamic Visualizations: Leverages customized
rechartshistograms to visualize the full null distribution, map expected statistical normality, and isolate categorical rejection zones against observed variables. - Narrative Outcomes: Automatically structures and generates "Plain English Conclusions" for non-technical stakeholders alongside rigid
ALPHAconfidence metrics.
- Node.js (v18+ recommended)
- npm or yarn
- Clone the repository down to your local machine:
git clone https://github.com/sudo-ali-dev/HypoSnitch.git
- Navigate into the directory and install all dependencies:
cd HypoSnitch npm install - Start the Vite development environment:
Your app will actively compile and run at
npm run dev
http://localhost:5173.
Built with React, Recharts, TailwindCSS, & jStat. Designed by Muhammad Ali.