Math statistics
helper functions for math/statistics (commonjs/esm)
A TypeScript-first mathematics utility library with arithmetic, advanced math, statistics, geometry helpers, and utility functions.
ES Math-related intrinsics and helpers, robustly cached.
MCP server with 12 math & statistics tools - precise arithmetic, statistics, unit conversion, percentages, financial calculations, base conversion, and more. Perfect for giving LLMs accurate math capabilities.
Simple Statistics
mdast extension to parse and serialize math
micromark extension to support math (`$C_L$`)
vfile utility to count messages per category: failures, warnings, etc
remark plugin to parse and stringify math
Angular CLI builder for ESLint
Math and string formula parser.
Gathers usage statistics for components used during application development
rehype plugin to transform inline and block math with KaTeX
Statistical routines and probability distributions.
Math and string formula parser.
math-random is an isomorphic, drop-in replacement for `Math.random` that uses cryptographically secure random number generation, where available
JavaScript utilities with respect to emerging standard
Experimental math classes for loaders.gl
A flexible math expression evaluator
MCP server for Chrome DevTools
C APIs for registering a Node-API module exporting an interface for invoking a binary numerical function.
C APIs for registering a Node-API module exporting an interface for invoking a unary numerical function.
Test if a double-precision floating-point numeric value is NaN.
Shared multivariate statistics for dense matrix inputs and streaming observations.
Deterministic dense point datasets, bucketing, and clustering for video-analysis.
Shared multivariate statistics for dense matrix inputs and streaming observations.
Finance-oriented return, risk, and rolling statistics helpers.
Deterministic dense point datasets, bucketing, and clustering for video-analysis.
Math statitics methods for sum, mean, median, mode, variance, deviation, etc.
Will provide a set of methods for the arrays to do statistics math.
Descriptive statistics, linear interpolation, rounding modes, and moving averages. Lightweight math toolkit with zero dependencies.
This is a Ruby gem to calculate statistical properties of various distributions by using boost::math::distributions.
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