JSPM

Get stdin as a string or buffer

Hook and modify stdout and stderr

Node standard library for browser.

Load a manifest for compiling source files.

Rust utils for JavaScript projects

Standard library.

BLAS.

Filesystem APIs.

Constants.

OS utilities.

Regular expressions.

Time utilities.

Standard library statistical functions.

Natural language processing.

Standard data structure

Process utilities.

Streams.

Random numbers.

String manipulation functions.

Cmp module.

Channel module.

Common APIs shared across base pseudorandom number generators.

Radix trie module.

Array module.

Get stdin as a string or buffer from pipe or TTY

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

Base pseudorandom number generators.

Function.

Calculate the variance of a strided array.

Chi-squared distribution standard deviation.

Chi-squared distribution.

Proxy.

Datasets.

Boolean.

Object.

Human friendly file system utilities for Node.js

Calculate the standard deviation of a strided array.

Networking.

Negative binomial distribution.

Machine learning algorithms.

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

Poisson distribution standard deviation.

Mini Game Standard Development Library.

Beta distribution standard deviation.

Poisson distribution.

Simulation utilities.

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

Negative binomial distribution standard deviation.

LAPACK routines.

Beta distribution.

Common symbols and type definitions shared across base BLAS APIs.

JavaScript Standard library without udndefined behavior!

Student's t distribution standard deviation.

everyday ts fns for everything

redirect console methods to streams

Massa assemblyscript sdk

Student's t distribution.

timeseries-analysis

Semver module.

Return stdin as a promise

Serial queue module.

Async generator module.

Emitter module.

Function module.

Refute module.

Normal distribution.

Normal distribution standard deviation.

Parser combinators module.

Err module.

Eq module.

Generator module.

Standard Library for Typescript

Fs module.

Node standard library for browser.

Binomial distribution.

Standard library

Lognormal distribution.

Binomial distribution standard deviation.

Lognormal distribution standard deviation.

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

Uniform distribution standard deviation.

Uniform distribution.

Weibull distribution.

Exponential distribution standard deviation.

Weibull distribution standard deviation.

Cauchy distribution.

Exponential distribution.

Deno std packages in a single package

Truncated normal distribution.

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

Triangular distribution standard deviation.

Triangular distribution.

F distribution standard deviation.

Fisher's F distribution.

Bibloteca que auxilia no controle dos motores da base STD (BS-80)

Standalone ECMAScript Modules for diverse use cases

一些常见的pure-js工具函数，适用于任何场景

Compute a moving coefficient of variation (CV) incrementally.

Compute an exponentially weighted standard deviation incrementally.

Incremental statistics.

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

Compute the coefficient of variation (CV) incrementally.

Standard TypeScript Development

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

Gamma distribution standard deviation.

一些常见的nodejs-js工具函数

Gamma distribution.

strips chromium logs from a stream

A collection of standard utility classes and functions designed to enhance your TypeScript development experience.

Hypergeometric distribution standard deviation.

Arcsine distribution standard deviation.

Laplace distribution standard deviation.

NodeJS Standard Library Additions

Logistic distribution standard deviation.

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

Fréchet distribution standard deviation.

Geometric distribution standard deviation.

Beta prime distribution.

Studentized range distribution.

Raised cosine distribution.

Chi distribution standard deviation.

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

Raised cosine distribution standard deviation.

Kumaraswamy's double bounded distribution.

Arcsine distribution.

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

Fréchet distribution.

js utilities lib

Rayleigh distribution.

Inverse gamma distribution standard deviation.

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

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

JavaScript Comparison package without undefined behavior!

Lévy distribution standard deviation.

Gumbel distribution standard deviation.

Degenerate distribution.

Laplace distribution.

Distribution of Wilcoxon signed rank test statistic.

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

Rayleigh distribution standard deviation.

Hypergeometric distribution.

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

Kumaraswamy's double bounded distribution standard deviation.

Beta prime distribution standard deviation.

Erlang distribution standard deviation.

Gumbel distribution.

Erlang distribution.

Lévy distribution.

Inverse gamma distribution.

Pareto (Type I) distribution.

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

Discrete uniform distribution.

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

Geometric distribution.

Bernoulli distribution.

Bernoulli distribution standard deviation.

This is the nodejs standard library, it uses the std interfaces to interact with the environment so palmares can work with the same APIs without worrying about the environment it is running on.

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

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

Logistic distribution.

timeseries-transform

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

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

Chi 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)

Standard Test Data Format V4 parser

A JavaScript/TypeScript library that provides type definitions and predefined constants inspired by the Go standard library.

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

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 strided array ignoring NaN values and using a one-pass trial mean algorithm.

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

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

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

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 a double-precision floating-point strided array provided a known mean.

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.

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

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

Extended BLAS.

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

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

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

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

Strided array math functions.

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

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

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

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

Incremental machine learning algorithms.

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

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

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

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

Never use console.log to debug again!

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 two-pass algorithm.

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

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

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

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

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

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

Base (i.e., lower-level) statistical functions.

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

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

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

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.

Calculate the variance of a strided array ignoring NaN values.

CoffeeScript Standart Library

Parse a duration string into an object.

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

一些常见的 [tc39](https://github.com/tc39) 组织的 shim，统一的函数式编程风格，良好的 Tree-Shaking 支持，默认零成本

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

Calculate the standard deviation 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 ignoring NaN values.

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

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

Standard module for JavaScript / TypeScript

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

Standard input module for JavaScript / TypeScript

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

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

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

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

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

Standard output module for JavaScript / TypeScript

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

Math iterators for special functions.

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

Fast math special functions.

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

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

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

Base (i.e., lower-level) basic linear algebra subprograms (BLAS).

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

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

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

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

Strided array special math functions.

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

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

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

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

JavaScript standard library extensions

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