JSPM

Found 327 results for std

@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.

  • v0.2.2
  • 11.59
  • Published

@stdlib/stats-base-dnanstdevwd

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

  • v0.2.2
  • 11.59
  • Published

@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.

  • v0.2.2
  • 11.59
  • Published

@stdlib/stats-base-dsemwd

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

  • v0.2.2
  • 11.57
  • Published

@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.

  • v0.2.2
  • 11.49
  • Published

@stdlib/stats-base-dsvariance

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

  • v0.2.2
  • 11.42
  • Published

@stdlib/stats-base-stdevwd

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

  • v0.2.2
  • 11.21
  • Published

@stdlib/ml-incr

Incremental machine learning algorithms.

  • v0.2.1
  • 11.19
  • Published

@stdlib/stats-base-dnanvariancepn

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

  • v0.2.2
  • 11.19
  • Published

@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.

  • v0.2.2
  • 11.11
  • Published

@stdlib/stats-base-nanvariancech

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

  • v0.2.2
  • 10.93
  • Published

@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.

  • v0.2.2
  • 10.93
  • Published

@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.

  • v0.2.2
  • 10.93
  • Published

@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.

  • v0.2.2
  • 10.86
  • Published

@stdlib/stats-base-sstdevwd

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

  • v0.2.2
  • 10.81
  • Published

@stdlib/stats-base-dstdevpn

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

  • v0.2.2
  • 10.81
  • Published

@stdlib/stats-base-dvariancech

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

  • v0.2.2
  • 10.77
  • Published

@stdlib/stats-base-dnanstdev

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

  • v0.2.2
  • 10.77
  • Published

@stdlib/stats-base-sstdevtk

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

  • v0.2.2
  • 10.61
  • Published

@stdlib/stats-base-stdevtk

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

  • v0.2.2
  • 10.55
  • Published

@stdlib/stats-base-dvariancetk

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

  • v0.2.2
  • 10.55
  • Published

@stdlib/stats-base

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

  • v0.3.2
  • 10.55
  • Published

@stdlib/stats-base-snanstdevwd

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

  • v0.2.2
  • 10.55
  • Published

@stdlib/stats-base-dsem

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

  • v0.2.2
  • 10.48
  • Published

@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.

  • v0.2.2
  • 10.48
  • Published

@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.

  • v0.2.2
  • 10.44
  • Published

cstd

CoffeeScript Standart Library

  • v0.0.1
  • 10.40
  • Published

@stdlib/stats-base-nanstdevtk

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

  • v0.2.2
  • 10.15
  • Published

@stdlib/stats-base-sstdevch

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

  • v0.2.2
  • 10.09
  • Published

@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.

  • v0.2.2
  • 10.00
  • Published

@stdlib/stats-base-snanstdev

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

  • v0.2.2
  • 9.97
  • Published

@stdlib/stats-base-nanvariancetk

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

  • v0.2.2
  • 9.97
  • Published

@stdlib/stats-base-dvariancepn

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

  • v0.2.2
  • 9.95
  • Published

node-cin

Standard input module for JavaScript / TypeScript

  • v2023.2.5
  • 9.80
  • Published

@stdlib/stats-base-sstdevpn

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

  • v0.2.2
  • 9.72
  • Published

@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.

  • v0.2.2
  • 9.72
  • Published

@stdlib/stats-base-dsempn

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

  • v0.2.2
  • 9.66
  • Published

node-cout

Standard output module for JavaScript / TypeScript

  • v2023.9.3
  • 9.66
  • Published

@stdlib/stats-base-dstdev

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

  • v0.2.2
  • 9.65
  • Published

@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.

  • v0.2.2
  • 9.62
  • Published

@stdlib/stats-base-svariancepn

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

  • v0.2.2
  • 9.48
  • Published

@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.

  • v0.2.2
  • 9.47
  • Published

@rslike/dbg

Never use console.log to debug again!

  • v3.1.0
  • 9.25
  • Published

@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.

  • v0.2.2
  • 9.25
  • Published

@stdlib/blas-base

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

  • v0.2.1
  • 9.15
  • Published

@stdlib/stats-base-stdevyc

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

  • v0.2.2
  • 9.15
  • Published

@stdlib/stats-base-svariancetk

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

  • v0.2.2
  • 9.11
  • Published

@stdlib/blas-ext-base

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

  • v0.2.1
  • 9.11
  • Published

@stdlib/stats-base-dnanvariancewd

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

  • v0.2.2
  • 8.95
  • Published

@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.

  • v0.2.2
  • 8.94
  • Published

@stdlib/stats-base-dstdevwd

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

  • v0.2.2
  • 8.94
  • Published

@stdlib/stats-base-dstdevtk

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

  • v0.2.2
  • 8.67
  • Published

@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.

  • v0.2.2
  • 8.67
  • Published

@zemd/std-modules

Standalone ECMAScript Modules for diverse use cases

  • v0.0.3
  • 8.65
  • Published

@stdlib/stats-base-sstdev

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

  • v0.2.2
  • 8.64
  • Published

@stdlib/stats-base-snanvariancewd

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

  • v0.2.2
  • 8.53
  • Published

@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.

  • v0.2.2
  • 8.10
  • Published

@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

  • v0.2.1
  • 8.04
  • Published

@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.

  • v0.2.2
  • 8.04
  • Published

@stdlib/stats-base-dmeanvar

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

  • v0.2.2
  • 7.71
  • Published

@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.

  • v0.2.2
  • 7.71
  • Published

@stdlib/stats-base-svariancech

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

  • v0.2.2
  • 7.71
  • Published

@ofzza/ts-std

Standard TypeScript types and utility types

  • v0.0.9
  • 7.52
  • Published

consui

Console GUI!

  • v1.0.3
  • 7.44
  • Published

@gaubee/web

一些常见的web-js工具函数

  • v0.8.0
  • 7.10
  • Published

stdmath

Standard Math library.

  • v0.0.4
  • 7.10
  • Published

@stdlib/math-base-napi

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

  • v0.3.0
  • 6.97
  • Published

std-node

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

  • v1.2.9
  • 6.75
  • Published

@yangzw/bruce-std

A VSCode configuration tool with integrated code verification

  • v1.3.8
  • 6.72
  • Published

nsl

Node Standard Library.

  • v0.1.2
  • 6.23
  • Published

rj-basic-stats

To use basic statistics functions to calculation

    • v1.2.0
    • 6.11
    • Published

    dynamodb-std

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

    • v0.8.6
    • 6.11
    • Published

    @proem/all

    Meta package that includes all proem packages

    • v0.0.23
    • 5.96
    • Published

    @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

    • v1.2.2
    • 5.96
    • Published

    lambda-std

    Lambda Simple Toolkit based on Decorators

    • v1.0.1
    • 4.94
    • Published

    wft-npm-1

    JavaScript standard library extensions

    • v1.2.0
    • 3.76
    • Published

    @stdlib/random-array

    Pseudorandom number generator array creation functions.

    • v0.2.1
    • 3.73
    • Published

    std_js_utils

    Some utilities to make life easier working with js

    • v1.0.1
    • 3.70
    • Published

    @ts-rust/std

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

    • v0.2.0
    • 2.33
    • Published

    @gaubee/shim

    一些常见的 shim 需求

    • v0.2.1
    • 2.25
    • Published

    cra-template-std

    The standard template for Create React App.

    • v2.2.1
    • 2.25
    • Published

    std.js

    a pull based std io for JSON streams

      • v0.1.1
      • 2.25
      • Published

      @palmares/std

      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

      • v0.0.1
      • 2.25
      • Published

      js-describe

      Generate descriptive statistics.

      • v1.0.1
      • 2.18
      • Published

      std-lint-cli

      前端编码规范工程化标准脚手架

      • v1.0.13
      • 2.17
      • Published

      @cbnb/front-standard

      A VSCode Configuration Tool Integrating Stylelint And Eslint

      • v1.0.6
      • 0.00
      • Published

      @giakki/std

      Collection of utility functions and types

      • v0.0.1
      • 0.00
      • Published

      stdbackoff

      Standard Backoff Library

      • v0.0.2
      • 0.00
      • Published