JSPM

Datasets.

Networking.

Common symbols and type definitions shared across base BLAS APIs.

Beta distribution standard deviation.

Machine learning algorithms.

Calculate the variance of a strided array using a two-pass algorithm.

Beta distribution.

Simulation utilities.

LAPACK routines.

Calculate the variance of a strided array.

Standard library operators for Almadar (math, string, array, etc.)

Gamma distribution standard deviation.

Calculate the standard deviation of a strided array.

Normal distribution standard deviation.

Calculate the standard deviation of a strided array using a two-pass algorithm.

Cross-platform standard library for WeChat minigame and web browsers with unified APIs for crypto, fs, fetch, storage, and more.

everyday ts fns for everything

Gamma distribution.

Normal distribution.

redirect console methods to streams

Lognormal distribution.

Lognormal distribution standard deviation.

Return stdin as a promise

Binomial distribution standard deviation.

Uniform distribution.

Uniform distribution standard deviation.

Student's t distribution standard deviation.

Binomial distribution.

Poisson distribution.

Poisson distribution standard deviation.

Standard Library for Typescript

Exponential distribution standard deviation.

strips chromium logs from a stream

ES module distribution for Stdlib, a standard library for JavaScript and Node.js.

Exponential distribution.

Triangular distribution standard deviation.

Student's t distribution.

Std library for TypeScript. Natural complement to the Tempo libraries.

Standard library

Massa assemblyscript sdk

Node standard library for browser.

Triangular distribution.

Weibull distribution.

JavaScript Standard library without udndefined behavior!

一些常见的pure-js工具函数，适用于任何场景

Weibull distribution standard deviation.

Eq module.

Parser combinators module.

Async generator module.

Emitter module.

Cauchy distribution.

Refute module.

Negative binomial distribution.

Hypergeometric distribution standard deviation.

A simple package for printing to the console (or other streams).

NodeJS Standard Library Additions

Online algorithms for data exploration and analysis (piece-by-piece)

Negative binomial distribution standard deviation.

Truncated normal distribution.

Fastest Prime Number Calculation logic for nodejs and browser (checks, random generator, prime range generator, primes count generator, summation of primes, factorial of primes)

HoloScript Standard Library - Core types and utilities

Calculate the standard deviation of a strided array using a two-pass algorithm.

Calculate the variance of a double-precision floating-point strided array using a two-pass algorithm.

Calculate the variance of a strided array using a one-pass trial mean algorithm.

Compute a moving coefficient of variation (CV) incrementally.

Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm.

Calculate the variance of a strided array using Welford's algorithm.

Calculate the variance of a strided array ignoring NaN values and using a two-pass algorithm.

Standard TypeScript Development

Calculate the variance of a strided array using a one-pass algorithm proposed by Youngs and Cramer.

Calculate the variance of a strided array using a one-pass textbook algorithm.

Fréchet distribution standard deviation.

Calculate the standard deviation of a double-precision floating-point strided array using a two-pass algorithm.

Calculate the variance of a double-precision floating-point strided array using a one-pass textbook algorithm.

Calculate the variance of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.

F distribution standard deviation.

Calculate the variance of a double-precision floating-point strided array using a one-pass trial mean algorithm.

Calculate the standard deviation of a strided array.

Calculate the mean and variance of a double-precision floating-point strided array using a two-pass algorithm.

Calculate the standard deviation of a strided array using Welford's algorithm.

Kumaraswamy's double bounded distribution standard deviation.

Chi distribution standard deviation.

Rayleigh distribution standard deviation.

Calculate the variance of a strided array ignoring NaN values and using Welford's algorithm.

Inverse gamma distribution standard deviation.

Calculate the variance of a double-precision floating-point strided array using Welford's algorithm.

Geometric distribution standard deviation.

Calculate the standard deviation of a strided array using a one-pass algorithm proposed by Youngs and Cramer.

Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.

Common symbols and type definitions shared across base LAPACK APIs.

Laplace distribution standard deviation.

Calculate the standard deviation of a strided array using a one-pass trial mean algorithm.

Bernoulli distribution standard deviation.

Calculate the standard deviation of a strided array using a one-pass textbook algorithm.

Calculate the standard deviation of a single-precision floating-point strided array using a two-pass algorithm.

Calculate the variance of a single-precision floating-point strided array using a one-pass textbook algorithm.

Raised cosine distribution standard deviation.

Hypergeometric distribution.

Arcsine distribution standard deviation.

Calculate the standard deviation of a double-precision floating-point strided array using a one-pass textbook algorithm.

Calculate the variance of a single-precision floating-point strided array using Welford's algorithm.

Gumbel distribution standard deviation.

Rayleigh distribution.

Lévy distribution standard deviation.

Calculate the standard deviation of a strided array ignoring NaN values and using a two-pass algorithm.

Compute the coefficient of variation (CV) incrementally.

Compute an exponentially weighted standard deviation incrementally.

Logistic distribution standard deviation.

Extensions to basic linear algebra subprograms (BLAS) compiled to WebAssembly.

Inverse gamma distribution.

Calculate the standard deviation of a double-precision floating-point strided array using Welford's algorithm.

Beta prime distribution standard deviation.

Calculate the variance of a strided array ignoring NaN values and using a one-pass trial mean algorithm.

Discrete uniform distribution.

Calculate the variance of a strided array ignoring NaN values and using a one-pass textbook algorithm.

Calculate the variance of a strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.

Erlang distribution standard deviation.

Beta prime distribution.

Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.

Fréchet distribution.

Calculate the mean and standard deviation of a double-precision floating-point strided array.

Calculate the variance of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.

Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.

Calculate the variance of a single-precision floating-point strided array using a one-pass trial mean algorithm.

Calculate the standard deviation of a single-precision floating-point strided array.

Calculate the mean and standard deviation of a double-precision floating-point strided array using a two-pass algorithm.

Fisher's F distribution.

Distribution of Wilcoxon signed rank test statistic.

Calculate the standard deviation of a single-precision floating-point strided array using a one-pass textbook algorithm.

Err module.

Erlang distribution.

Calculate the standard deviation of a double-precision floating-point strided array.

Incremental statistics.

Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.

Calculate the standard deviation of a single-precision floating-point strided array using Welford's algorithm.

Calculate the standard deviation of a double-precision floating-point strided array using a one-pass trial mean algorithm.

Geometric distribution.

Gumbel distribution.

CoffeeScript Standart Library

Base ndarray extended BLAS functions.

Standard Test Data Format V4 parser

Calculate the standard deviation of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.

Calculate the variance of a strided array ignoring NaN values.

Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.

Kumaraswamy's double bounded distribution.

Raised cosine distribution.

Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.

Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.

Logistic distribution.

Laplace distribution.

Utilities for working with file system paths.

Standalone ECMAScript Modules for diverse use cases

Pareto (Type I) distribution.

Calculate the standard deviation of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.

Calculate the standard deviation of a single-precision floating-point strided array using a one-pass trial mean algorithm.

Studentized range distribution.

Degenerate distribution.

Calculate the standard deviation of a strided array ignoring NaN values and using Welford's algorithm.

Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.

Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass textbook algorithm.

Bradford distribution standard deviation.

Chi distribution.

Bernoulli distribution.

Calculate the standard deviation of a strided array ignoring NaN values.

Arcsine distribution.

Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass trial mean algorithm.

Fast math special functions.

Planck distribution standard deviation.

Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.

Lévy distribution.

Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.

Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values.

Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.

Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values.

Planck distribution.

Base math tools.

Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.

Calculate the mean and standard deviation of a double-precision floating-point strided array.

Compute the standard deviation of a one-dimensional double-precision floating-point ndarray using a one-pass trial mean algorithm.

Compute the standard deviation of a one-dimensional single-precision floating-point ndarray using a one-pass algorithm proposed by Youngs and Cramer.

Compute the standard deviation of a one-dimensional double-precision floating-point ndarray using a one-pass algorithm proposed by Youngs and Cramer.

Compute the standard deviation of a one-dimensional ndarray.

Base (i.e., lower-level) probability distributions.

Compute the standard deviation of a one-dimensional double-precision floating-point ndarray using a one-pass textbook algorithm.

Compute the standard deviation of a one-dimensional single-precision floating-point ndarray using a one-pass textbook algorithm.

Compute the standard deviation of a one-dimensional ndarray using a one-pass algorithm proposed by Youngs and Cramer.

Compute the standard deviation of a one-dimensional ndarray using Welford's algorithm.

Predicate combinators.

Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm with extended accumulation and returning an extended precision result.

Bradford distribution.

Calculate the variance of a strided array ignoring NaN values and using a one-pass textbook algorithm.

Compute the standard deviation of a one-dimensional single-precision floating-point ndarray using a two-pass algorithm.

Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.

Compute the standard deviation of a one-dimensional double-precision floating-point ndarray.

The MellowCobra Library for JavaScript is a collection of common methods for standard operations to fill in gaps in the existing standard JS library

Calculate the variance of a double-precision floating-point strided array provided a known mean and using Neely's correction algorithm.

Compute the standard deviation of a one-dimensional single-precision floating-point ndarray using a one-pass trial mean algorithm.

Calculate the standard error of the mean for a double-precision floating-point strided array using Welford's algorithm.

Compute the standard deviation of a one-dimensional ndarray using a one-pass textbook algorithm.

Compute the standard deviation of a one-dimensional double-precision floating-point ndarray using a two-pass algorithm.

Calculate the variance of a double-precision floating-point strided array provided a known mean and using a one-pass textbook algorithm.

Compute the variance of a one-dimensional ndarray using a one-pass trial mean algorithm.

Compute the standard deviation of a one-dimensional single-precision floating-point ndarray using Welford's algorithm.

Calculate the mean and variance of a double-precision floating-point strided array using a two-pass algorithm.

Base (i.e., lower-level) special math functions.

Base mathematical assertion utilities.

Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.

Compute the standard deviation of a one-dimensional double-precision floating-point ndarray using Welford's algorithm.

Parse a duration string into an object.

Calculate the standard error of the mean for a double-precision floating-point strided array using a two-pass algorithm.

Deno std packages in a single package

Compute the standard deviation of a one-dimensional single-precision floating-point ndarray.

Compute the standard deviation of a one-dimensional ndarray using a one-pass trial mean algorithm.

Math iterator tooling.

Calculate the standard deviation of a strided array using a one-pass algorithm proposed by Youngs and Cramer.

Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.

Compute the variance of a one-dimensional ndarray.

Calculate the standard deviation of a single-precision floating-point strided array using a one-pass trial mean algorithm.

Compute the standard deviation of a one-dimensional ndarray using a two-pass algorithm.

Strided array special math functions.

Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.

A VSCode configuration tool with integrated code verification

Strided array math operations.

Calculate the mean and standard deviation of a double-precision floating-point strided array using a two-pass algorithm.

Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.

Calculate the variance of a single-precision floating-point strided array ignoring NaN values.

Math iterators for generating sequences.

Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.

Base (i.e., lower-level) LAPACK routines.

Base math utilities.

Calculate the standard deviation of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.

Calculate the variance of an array using a two-pass algorithm.

Calculate the variance of an array using a one-pass textbook algorithm.

Calculate the standard deviation of an array using a one-pass algorithm proposed by Youngs and Cramer.

Calculate the variance of an array ignoring `NaN` values and using a one-pass trial mean algorithm.

Extended base (i.e., lower-level) basic linear algebra subroutines (BLAS).

Calculate the standard deviation of an array using a one-pass trial mean algorithm.

The internal package for @std. Do not use this directly.

Calculate the variance of a double-precision floating-point strided array.

Calculate the standard deviation of an array.

Basic linear algebra subprograms (BLAS) compiled to WebAssembly.

Calculate the standard error of the mean for a double-precision floating-point strided array using Welford's algorithm.

Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass trial mean algorithm.

Calculate the variance of an array ignoring `NaN` values and using a one-pass textbook algorithm.

Math utility iterators.

Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.

Calculate the standard error of the mean for a double-precision floating-point strided array.

Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values.

Calculate the standard deviation of an array using Welford's algorithm.

Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.