{"repo":"rishabhbhartiya/STATANIM","free":true,"listed":false,"github":"https://github.com/rishabhbhartiya/STATANIM","clone":"git clone https://github.com/rishabhbhartiya/STATANIM.git","description":"A Manim extension for animated statistical visualisations — distributions, regression, probability, inference and more.","language":"Python","stars":12,"topics":["animation","data-visualization","distributions","hacktoberfest","inference","manim","probability","python","regression","statistics"],"license":"MIT","category":"machine-learning","readme_excerpt":"A Manim extension for animated statistical visualisations. Distributions, inference, regression, probability theory, and physical props — all built on Manim Community. --- Why statanim? Manim is extraordinary at animating mathematics — but when it comes to statistics, you're on your own. Want to show a normal distribution shading its tails as sigma changes? A probability tree that builds itself node by node? A deck of cards dealing out to demonstrate hypergeometric sampling? With vanilla Manim, each of these requires hundreds of lines of low-level geometry code before you even start on the actual statistics. statanim closes that gap. It gives statistics the same treatment Manim gives mathematics: objects that understand what they represent, animations that carry statistical meaning, and a workflow that stays out of your way so you can focus on the idea you're trying to communicate. Whether you're building lecture slides, making YouTube explainers, or just trying to build intuition for a concept — statanim lets you go from idea to animation in minutes, not days. --- Demo Sample Space Classical Probability Conditional Probability Hypergeometric Distribution Birthday Paradox --- Installation Prerequisites LaTeX is required for formula rendering: Install statanim Install from source Verify --- Quick Start Normal distribution with shaded region Probability with playing cards --- What's Inside Module What it gives you --- --- distributions Normal, Binomial, Poisson, Hypergeometric,","default_branch":null,"files":null,"tree":[],"storefront":"/r/rishabhbhartiya","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/rishabhbhartiya/STATANIM/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}