JSPM

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.

Raised cosine distribution standard deviation.

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.

Arcsine distribution.

Kumaraswamy's double bounded 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.

Lévy distribution standard deviation.

Gumbel distribution standard deviation.

Degenerate distribution.

Laplace distribution.

JavaScript Comparison package without undefined behavior!

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.

Gumbel distribution.

Erlang distribution.

Beta prime distribution standard deviation.

Erlang distribution standard deviation.

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

Lévy distribution.

Kumaraswamy's double bounded distribution standard deviation.

Inverse gamma distribution.

Discrete uniform distribution.

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

Pareto (Type I) distribution.

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

Bernoulli distribution.

Geometric distribution.

Bernoulli distribution standard deviation.

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.

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.

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

Logistic distribution.

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

timeseries-transform

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

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 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 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 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.

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 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.

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

Calculate the standard deviation of a 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 trial mean 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 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 single-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.

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

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

Standard output module for JavaScript / TypeScript

Standard input module for JavaScript / TypeScript

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 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 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 using a two-pass algorithm.

Fast math special functions.

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 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 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 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.

Standalone ECMAScript Modules for diverse use cases

Math tools.

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

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!

一些常见的web-js工具函数

Math iterator tooling.

Standard Math library.

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

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.

Jsonrpc module.

Base math utilities.

Node standard library for browser.

JavaScript standard library extensions

Pseudorandom number generator array creation functions.

Log package.

Some utilities to make life easier working with js

Rust-inspired utilities for TypeScript: Option, Result, and error handling for safer, more predictable code.

Base math tools.

Predicate combinators.

Math iterators for generating sequences.

一些常见的 shim 需求

The standard template for Create React App.

a pull based std io for JSON streams

The palmares standard library, this is used to interact with the environment we are working with, it can be a browser, node.js, bun, deno or whatever runtime. The standard library should include interfaces that we can extend in whatever environment we are

Pass comma seprater array value for get standard deviation values

Generate descriptive statistics.

test standard version

前端编码规范工程化标准脚手架

Base strided.

Progress module.

Pseudorandom number generator strided array functions.

A VSCode Configuration Tool Integrating Stylelint And Eslint

WaitGroup module.

Prelude module.

Sorted array module.

Pseudorandom number generator iterators.

Collection of utility functions and types

Base mathematical assertion utilities.

String module.

Red-black tree module.

Pseudorandom number generator strided array function tools.

Get stdin as a string or buffer from pipe or TTY

Babel plugin transforms import.meta in emitted CJS.

Standard Backoff Library

Standard abstract request.

Implementations of various string similarity metrics.