JSPM

Machine learning algorithms.

Beta distribution standard deviation.

Poisson distribution standard deviation.

Poisson distribution.

Mini Game Standard Development Library.

Simulation utilities.

Negative binomial distribution standard deviation.

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

LAPACK routines.

Common symbols and type definitions shared across base BLAS APIs.

Beta distribution.

JavaScript Standard library without udndefined behavior!

Student's t distribution standard deviation.

redirect console methods to streams

everyday ts fns for everything

Student's t distribution.

Massa assemblyscript sdk

timeseries-analysis

Semver module.

Emitter module.

Return stdin as a promise

Serial queue module.

Refute module.

Function module.

Async generator module.

Normal distribution.

Normal distribution standard deviation.

Parser combinators module.

Err module.

Generator module.

Eq module.

Fs module.

Standard Library for Typescript

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.

Uniform distribution standard deviation.

Weibull distribution.

Weibull distribution standard deviation.

Exponential distribution standard deviation.

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

Cauchy distribution.

Exponential distribution.

Truncated normal distribution.

Deno std packages in a single package

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)

一些常见的pure-js工具函数，适用于任何场景

Compute an exponentially weighted standard deviation incrementally.

Compute a moving coefficient of variation (CV) 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.

Hypergeometric distribution standard deviation.

strips chromium logs from a stream

Arcsine distribution standard deviation.

Laplace distribution standard deviation.

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

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.

Arcsine 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.

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

js utilities lib

Fréchet distribution.

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.

Lévy distribution standard deviation.

Gumbel distribution standard deviation.

Laplace distribution.

Distribution of Wilcoxon signed rank test statistic.

JavaScript Comparison package without undefined behavior!

Degenerate distribution.

Rayleigh distribution standard deviation.

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

Hypergeometric distribution.

Beta prime distribution standard deviation.

Erlang distribution standard deviation.

Lévy distribution.

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

Gumbel distribution.

Erlang distribution.

Kumaraswamy's double bounded distribution standard deviation.

Inverse gamma distribution.

Discrete uniform distribution.

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

Pareto (Type I) distribution.

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

Bernoulli distribution.

Geometric distribution.

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

Bernoulli distribution standard deviation.

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

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.

Logistic distribution.

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

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

timeseries-transform

Chi distribution.

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

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

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.

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

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

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 double-precision floating-point strided array ignoring NaN values and using a one-pass trial mean 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 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.

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 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 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.

CoffeeScript Standart Library

Parse a duration string into an object.

Calculate the variance of a strided array ignoring NaN values.

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

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 and using a one-pass trial mean algorithm.

Standard module for JavaScript / TypeScript

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 variance 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 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.

Standard input module for JavaScript / TypeScript

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 ignoring NaN values.

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

Never use console.log to debug again!

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

Standalone ECMAScript Modules for diverse use cases

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

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

Math tools.

Special math functions.

Math utility iterators.

Remote clock module.

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

一些常见的 [w3c](https://github.com/w3c) 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 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 mean and variance 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 single-precision floating-point strided array using a one-pass trial mean algorithm.

Standard TypeScript types and utility types

Console GUI!

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

一些常见的web-js工具函数

Math iterator tooling.

Standard Math library.

Base (i.e., lower-level) math operators.

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

C APIs for registering a Node-API module exporting interfaces.

Math operator iterators.

A VSCode configuration tool with integrated code verification

A STD like library exporting all kinds of useful classes, types and interfaces

Node Standard Library.

Strided array math operations.

Base (i.e., lower-level) time utilities.

To use basic statistics functions to calculation

DynamoDB Single Table Design Implementation (aws-sdk-v3 compatible)

Meta package that includes all proem packages

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

Set module.

Simulation iterators.

Pseudorandom number generator streams.

Math iterators.

Statistical function iterators.

Lambda Simple Toolkit based on Decorators

Node.js streams.

Prelude package for all things utility

Pseudorandom number generator array creation function tools.