math-base-special-sech
Math Base Special Sech provides efficient mathematical functions for numerical computation in JavaScript. Enhance your projects with reliable and precise calculations! 🚀📊
https://github.com/metrics-js/metric
The metric class definition which metric objects is instansiated from.
stats-array-stdevtk
Calculate the standard deviation of an array using a one-pass textbook algorithm.
https://github.com/rubickCenter/rubick-base
desktop automation, screen capture, input listen/simulation, asar compress, color picker for nodejs and electron based on rust. 基于 Rust / WASM 提供截图、取色、键鼠事件监听模拟、压缩解压、图像处理、获取已安装应用等跨平台功能的现代异步 Nodejs 模块，占用空间小, 安装便捷, 使用简单, 高性能, 资源占用极小, 可取代 iohook 和 robotjs
array-base-symmetric-filled2d-by
Create a filled two-dimensional symmetric nested array according to a provided callback function.
veganify
Veganify is a modern webapp that allows you to easily scan EAN barcodes to check if a product is vegan-friendly. With a database of over 3 million products, you can quickly find out if your favorite foods and products are suitable for a vegan diet.
https://github.com/fermi-ad/websocket-echo
@stdlib/math-base-special-cotd
Compute the cotangent of an angle measured in degrees
blas-base-dtrsv
Solve one of the systems of equations `A*x = b` or `A^T*x = b`.
number-float64-base-add4
Compute the sum of four double-precision floating-point numbers.
stats-strided-dmeanli
Calculate the arithmetic mean of a double-precision floating-point strided array using a one-pass trial mean algorithm.
stats-strided-dmaxsorted
Calculate the maximum value of a sorted double-precision floating-point strided array.
stats-strided-dnanvariance
Calculate the variance of a double-precision floating-point strided array ignoring NaN values.
@stdlib/slice-base-args2multislice
Create a MultiSlice object from a list of MultiSlice constructor arguments.
stats-array-nanvariancech
Calculate the variance of an array ignoring `NaN` values and using a one-pass trial mean algorithm.
stats-array-nanvarianceyc
Calculate the variance of an array ignoring `NaN` values and using a one-pass algorithm proposed by Youngs and Cramer.
blas-base-wasm-cscal
Scale a single-precision complex floating-point vector by a single-precision complex floating-point constant.
stats-strided-dmin
Calculate the minimum value of a double-precision floating-point strided array.
blas-base-wasm-zcopy
Copy values from one complex double-precision floating-point vector to another complex double-precision floating-point vector.
math-array-tools-unary
Constructor for applying a unary function to each element in an input array.
@stdlib/random-strided-invgamma
Fill a strided array with pseudorandom numbers drawn from an inverse gamma distribution.
stats-strided-snanmax
Calculate the maximum value of a single-precision floating-point strided array, ignoring NaN values.
stats-strided-snanminabs
Calculate the minimum absolute value of a single-precision floating-point strided array, ignoring NaN values.
stats-strided-nanminabs
Calculate the minimum absolute value of a strided array, ignoring NaN values.
stats-strided-dmediansorted
Calculate the median value of a sorted double-precision floating-point strided array.
stats-strided-dnanvariancewd
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
math-base-special-cinvf
The "math-base-special-cinvf" repository provides a precise implementation of the inverse cumulative distribution function for the normal distribution. This library aims to enhance numerical computation in JavaScript, making it easier for developers to integrate statistical functions into their applications. 🛠️📊
stats-strided-smin
Calculate the minimum value of a single-precision floating-point strided array.
ndarray-vector-int8
Create a signed 8-bit integer vector (i.e., a one-dimensional ndarray).
deno-nodejs-transformer
A Deno module for transform Deno package to NodeJS package. This module is a modified edition of the JSR package `dnt`.
stats-strided-sstdevtk
Calculate the standard deviation of a single-precision floating-point strided array using a one-pass textbook algorithm.
complex-float64-base-neg
Negate a double-precision complex floating-point number.
math-base-special-frexpf
The "math-base-special-frexpf" repository provides a specialized function for computing the exponential function of a floating-point number. This library supports efficient numerical calculations in both browsers and Node.js. 🐙📦
math-base-special-atan2d
Compute the angle in the plane (in degrees) between the positive x-axis and the ray from (0,0) to the point (x,y).
ndarray-base-unary-strided1d
Apply a one-dimensional strided array function to a list of specified dimensions in an input ndarray and assign results to a provided output ndarray.
stats-base-ndarray-ztest
Compute a one-sample Z-test for a one-dimensional ndarray.
stats-base-ndarray-dmax
Compute the maximum value of a one-dimensional double-precision floating-point ndarray.
stats-strided-dmeanwd
Calculate the arithmetic mean of a double-precision floating-point strided array using Welford's algorithm.
https://github.com/cbib/linda
Web application for managing experimental and environmental metadata for plant experiments
number-float64-base-add
Compute the sum of two double-precision floating-point numbers.
stats-strided-smeanwd
Calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm.
stats-strided-smediansorted
Calculate the median value of a sorted single-precision floating-point strided array.
blas-ext-base-ndarray-zsum
Compute the sum of all elements in a one-dimensional double-precision complex floating-point ndarray.
stats-strided-dstdevyc
Calculate the standard deviation of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
ndarray-vector-float64
Create a double-precision floating-point vector (i.e., a one-dimensional ndarray).
stats-array-nanvariancetk
Calculate the variance of an array ignoring `NaN` values and using a one-pass textbook algorithm.
array-base-without
Return a new array containing every element from an input array, except for the element at a specified index.
ndarray-base-unary-strided1d-dispatch
Constructor for applying a strided function to an input ndarray.
ndarray-base-unary-reduce-subarray-by
This repository contains a JavaScript library for performing unary reduction operations on subarrays within ndarray structures. Explore the code and contribute to enhance numerical computations! 🐙🌐
stats-array-nanmskrange
Effortlessly compute statistical ranges in arrays with stats-array-nanmskrange. Ideal for numerical tasks in JavaScript and Node.js. 🚀📊
stats-incr-nanmaxabs
Compute a maximum absolute value incrementally, ignoring NaN values.
random-tools-binary
Constructor for creating ndarrays filled with pseudorandom values drawn from a binary PRNG.
stats-strided-snanmskrange
Calculate the range of a single-precision floating-point strided array according to a mask, ignoring NaN values.
number-float64-base-add5
Compute the sum of five double-precision floating-point numbers.
stats-strided-dvariancetk
Calculate the variance of a double-precision floating-point strided array using a one-pass textbook algorithm.
stats-strided-dnanvariancepn
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.
stats-strided-dcuminabs
Calculate the cumulative minimum absolute value of double-precision floating-point strided array elements.
stats-strided-svariancepn
Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm.
@stdlib/random-array-gamma
Create an array containing pseudorandom numbers drawn from a gamma distribution.