A lightweight, dependency-free JavaScript library for descriptive, regression, and inference statistics.
Simple Statistics is a JavaScript library that provides a comprehensive suite of statistical functions, including descriptive statistics, regression analysis, and inference methods. It solves the problem of performing reliable statistical computations in JavaScript environments without relying on heavy dependencies or external tools.
JavaScript developers, data scientists, and researchers who need to perform statistical analysis directly in Node.js or browser-based applications.
Developers choose Simple Statistics for its dependency-free design, cross-platform compatibility, and straightforward API, making it an ideal lightweight alternative to larger statistical packages.
simple statistics for node & browser javascript
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Self-contained with zero external packages, reducing bundle size and eliminating dependency management headaches, as emphasized in the README.
Functions identically in Node.js and all modern browsers, including Internet Explorer, ensuring broad deployment flexibility without polyfills.
Implemented in literate JavaScript for enhanced readability and maintainability, making it easier to audit and contribute to the code.
Offers descriptive statistics, regression analysis, and inference methods, providing a robust toolkit for common analytical tasks in JavaScript.
Lacks support for niche or cutting-edge statistical techniques like time series analysis or non-parametric tests, which may require supplementing with other libraries.
While benchmarks are provided, it may not be optimized for real-time processing or extremely large arrays compared to performance-focused alternatives like specialized numerical libraries.
Supporting Internet Explorer adds complexity and might not align with modern web development practices that prioritize evergreen browsers, potentially increasing testing burden.