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.

@stdlib/stats-base-dists-bernoulli-stdev

Bernoulli distribution standard deviation.

@stdlib/stats-base-nanvariancewd

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

@stdlib/stats-base-varianceyc

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

@stdlib/stats-base-dists-logistic

Logistic distribution.

@stdlib/stats-base-variancewd

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

@stdlib/stats-base-nanstdevpn

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

fast-prime

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

@brahimemo/standard-js

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

@stdlib/stats-base-dvarmpn

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

@stdlib/stats-base-nanstdevyc

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

@stdlib/stats-base-nanstdevch

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

fast-prime-client

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

@stdlib/stats-base-svariancewd

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

@stdlib/stats-base-dvariancewd

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

@stdlib/stats-base-dnanstdevyc

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.

@stdlib/stats-base-dsemch

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

@stdlib/stats-base-dvarm

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

@stdlib/stats-base-dstdevch

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

@stdlib/stats-base-dnanvarianceyc

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.

@stdlib/stats-base-snanstdevtk

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

@stdlib/stats-base-dsemwd

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

@stdlib/stats-base-snanvariancetk

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

@stdlib/stats-base-dnanstdevwd

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

@stdlib/stats-base-nanvarianceyc

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

@stdlib/stats-base-dvarianceyc

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

@stdlib/stats-base-dsvariance

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

@stdlib/stats-base-variancetk

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

@stdlib/stats-base-stdevwd

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

@stdlib/ml-incr

Incremental machine learning algorithms.

@stdlib/stats-base-dnanvariancepn

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

@stdlib/stats-base-dnanstdevch

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

@stdlib/stats-base-nanvariancech

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

@stdlib/stats-base-dstdevyc

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

@stdlib/stats-base-snanstdevyc

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.

@stdlib/stats-base-dvariance

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

@stdlib/stats-base-sstdevyc

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

@stdlib/stats-base-sstdevwd

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

@stdlib/stats-base-dstdevpn

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

@stdlib/stats-base-dnanstdev

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

@stdlib/stats-base-dnanvariance

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

@stdlib/stats-base-dvariancech

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

@stdlib/stats-base-sstdevtk

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

@stdlib/stats-base-stdevtk

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

@stdlib/stats-base-dvariancetk

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

@stdlib/stats-base

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

@stdlib/stats-base-snanstdevwd

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

@stdlib/stats-base-dsem

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

@stdlib/stats-base-dsvariancepn

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.

@stdlib/stats-base-dnanstdevpn

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

@stdlib/stats-base-nanvariance

Calculate the variance of a strided array ignoring NaN values.

@stdlib/time-base-parse-duration

Parse a duration string into an object.

@stdlib/stats-base-nanstdevtk

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

@gaubee/tc39-shim

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

@stdlib/stats-base-sstdevch

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

@stdlib/stats-base-nanstdev

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

@stdlib/stats-base-snanstdev

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

@stdlib/stats-base-nanvariancetk

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

@stdlib/stats-base-snanstdevch

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

@thundernetworkrad/std

Standard module for JavaScript / TypeScript

@stdlib/stats-base-dvariancepn

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

node-cin

Standard input module for JavaScript / TypeScript

@stdlib/stats-base-sstdevpn

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

@stdlib/stats-base-dsemtk

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

@stdlib/stats-base-dsempn

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

node-cout

Standard output module for JavaScript / TypeScript

@stdlib/stats-base-dstdev

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

@stdlib/stats-base-dnanstdevtk

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

@stdlib/stats-base-svariance

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

@stdlib/stats-base-svariancepn

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

@stdlib/math-base-special-fast

Fast math special functions.

@stdlib/stats-base-snanvariance

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

@stdlib/stats-base-dvarmtk

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

@stdlib/stats-base-snanvariancech

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

@stdlib/blas-base

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

@stdlib/stats-base-stdevyc

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

@stdlib/stats-base-svariancetk

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

@stdlib/blas-ext-base

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

@stdlib/stats-base-dnanvariancewd

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

@stdlib/stats-base-dsemyc

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.

@stdlib/stats-base-dstdevwd

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

@zemd/std-modules

Standalone ECMAScript Modules for diverse use cases

@stdlib/stats-base-dstdevtk

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

@stdlib/stats-base-dnanvariancetk

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

@stdlib/stats-base-sstdev

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

@stdlib/stats-base-snanvariancewd

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

@stdlib/math-base

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

@stdlib/stats-base-dnanvariancech

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

@stdlib/stats-base-snanvarianceyc

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.

@stdlib/stats-base-dmeanvar

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

@stdlib/stats-base-svarianceyc

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

@stdlib/stats-base-svariancech

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

@ofzza/ts-std

Standard TypeScript types and utility types

@stdlib/math-base-special

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

@stdlib/math-base-ops

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

@stdlib/lapack-base

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

@stdlib/math-base-napi

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

std-node

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

@yangzw/bruce-std

A VSCode configuration tool with integrated code verification

@stdlib/time-base

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

rj-basic-stats

To use basic statistics functions to calculation

dynamodb-std

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

@proem/all

Meta package that includes all proem packages

@mellow.cobra/lib

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

@gaubee/w3c-shim

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

lambda-std

Lambda Simple Toolkit based on Decorators

@ts-rust/std

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

@stdlib/random-array-tools

Pseudorandom number generator array creation function tools.

@stdlib/random-array

Pseudorandom number generator array creation functions.

std_js_utils

Some utilities to make life easier working with js

@stdlib/math-iter-sequences

Math iterators for generating sequences.

cra-template-std

The standard template for Create React App.

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