JSPM

Computes the least common multiple (lcm).

Computes the greatest common divisor (gcd).

Computes the L2 norm (Euclidean norm) of an array of values.

Computes the cosine similarity between two arrays.

Computes the dot product between two numeric arrays.

Positive infinity.

Maximum unsigned 32-bit integer.

Computes array dimensions.

Returns an integer corresponding to the unbiased exponent of a double-precision floating-point number.

Returns a 32-bit integer corresponding to the more significant 32 bits of a double-precision floating-point number.

Converts degrees to radians.

Converts radians to degrees.

Generates a linearly spaced index array from a subsequence string.

Determines the underlying data type of an input value.

Returns an array constructor corresponding to an array data type.

Matrices.

Returns an array data type corresponding to an array constructor name.

Returns an array data type corresponding to an array constructor name.

Computes a quantile for a numeric array.

Casts an array to an array of a different data type.

Returns an array constructor corresponding to an array data type.

Negative infinity.

Computes the median of an array.

Computes an absolute value.

Natural exponential function.

Computes the quadratic mean (root mean square).

Multiplies a double-precision floating-point number by an integer power of two.

Splits a floating-point number into a higher order word and a lower order word.

Creates a double-precision floating-point number from a higher order word and a lower order word.

Provides a method to compute a moving arithmetic mean incrementally.

Returns a normal number `y` and exponent `exp` satisfying `x = y * 2^exp`.

Returns a double-precision floating-point number with the magnitude of x and the sign of y.

Smallest positive double-precision floating-point number.

Computes the principal square root.

Maximum signed 32-bit integer.

Sets the less significant 32 bits of a double-precision floating-point number.

TypeScript types for Werkit, a toolkit for encapsulating Python-based computation into deployable and distributable tasks

Evaluates a polynomial.

Two functions that measure the computation power

Computes the interquartile range for an array of values.

Error function.

Computes the maximum value of a numeric array and returns the corresponding array indices.

Error function.

Pi.

Computes the sample standard deviation over an array of values.

Exponential function.

Rounds a numeric value toward positive infinity.

Evaluates a polynomial.

Calculate the cosine distance between arrays

Computes the covariance between one or more numeric arrays.

Splits a double-precision floating-point number into a normalized fraction and an integer power of two.

Computes the geometric mean of an array.

Flattens an array.

Inverse complementary error function.

Rounds a numeric value toward negative infinity.

Natural logarithm.

A comprehensive and versatile library for all your mathematical operations and computations.

Computes the square root of a sum of squares.

Complementary error function.

Evaluates a rational function.

Minimum signed 32-bit integer.

Returns a string giving the literal bit representation of a single-precision floating-point number.

Negative infinity.

Community detection algorithm

Computes Pearson product-moment correlation coefficients between one or more numeric arrays.

Positive infinity.

Computes quantiles for numeric array.

Computes the sample excess kurtosis of an array of values.

Computes the variance.

group timestamps into "buckets" by applying a granularity to a discrete value

Inverse complementary error function.

Complementary error function.

Inverse error function.

Inverse error function.

Rounds a numeric value toward zero.

Reactive computational engine, with novel and unique properties

Computes the harmonic mean over an array of values.

Computes the interquartile mean (midmean) of a numeric array.

Computation library.

Computes the arithmetic mean.

Computes the sample skewness of an array of values.

Computes the Hamming distance between two sequences.

A Yeoman generator for Compute.io modules.

Reverse an array.

Computes the truncated mean of an array.

Computes the mode of an array.

Computes the sum.

Computes a moving arithmetic mean over an array.

Generates a linearly spaced numeric array.

Collection of Node.js streams

Computes the lower interquartile mean (lower midmean) of a numeric array.

Computes the upper interquartile mean (upper midmean) of a numeric array.

Computes the trimean of a numeric array.

Computes an element-wise division.

Computes an element-wise principal square root.

Computes an element-wise subtraction.

Computes an element-wise comparison (greater than or equal to) of an array.

Computes a trimmed midrange of a numeric array

Provides a method to compute a moving sample standard deviation incrementally.

Removes duplicate values from a numeric array.

Generates a logarithmically spaced numeric array.

Generates an array of linearly spaced dates using a provided increment.

Generates a linearly spaced numeric array using a provided increment.

Computes an element-wise multiplication of a numeric array.

Computes an element-wise comparison (less than or equal to) of an array.

Computes the maximum value of a numeric array.

Provides a method to compute an arithmetic mean incrementally.

Computes the Lp norm of an array of values.

Signum function.

Unzips a zipped array (i.e., a nested array of tuples).

Provides a method to compute a moving sum incrementally.

Computes an element-wise addition.

Computes the differences between adjacent elements in an array of values.

Computes the L1 norm (Manhattan norm) of an array of values.

Provides a method to compute a maximum value incrementally.

Computes the arithmetic range of an array.

Computes a moving product over an array.

Computes the sample standard deviation over an array of values ignoring any values which are not numeric.

Computes the minimum value of an array.

Computes the midhinge of a numeric array.

Computes an element-wise comparison (less than) of an array.

Computes the geometric mean of an array of values ignoring any values which are not numeric.

Computes an element-wise comparison (greater than) of an array.

Shuffles array elements in place.

Computes for each array element whether an element is infinite.

Computes a moving maximum over a numeric array.

Provides a method to compute a moving sample variance incrementally.

Computes the arithmetic mean over an array of values ignoring any values which are not numeric.

Computes the interdecile range of an array of values.

Computes the minimum value of a numeric array and returns the corresponding array indices.

Computes the cumulative product of an array.

Computes the harmonic mean of an array of values ignoring any values which are not numeric.

Round values to the nearest multiple of 10^n.

Computes the arithmetic range of an array ignoring non-numeric values.

Computes an element-wise comparison (equality) of an array.

Computes for each array element whether an element is NaN.

Computes the product.

Computes a moving minimum over a numeric array.

Computes for each array element whether an element is numeric.

Computes a moving sum over an array.

Computes the quadratic mean (root mean square) of an array of values ignoring any values which are not numeric.

Computes an element-wise comparison (not equal) of an array.

Computes an element-wise absolute value.

Returns a boolean indicating if an input array is sorted.

Computes the cumulative sum of a numeric array.

Computes the mid-range of a numeric array.

Provides a method to compute a minimum value incrementally.

Computes quantiles for an array ignoring non-numeric values.

Computes the cumulative minimum of a numeric array.

Computes a moving sample variance over a numeric array.

Computes for each array element whether an element is an integer.

Computes the hypotenuse of a right triangle.

Computes the sum of an array ignoring non-numeric values.

Computes a weighted mean over an array of values.

Computes the Tversky index between two sequences.

Computes the infinity norm (Chebyshev/supremum norm) of an array of values.

Computes the maximum value of an array ignoring non-numeric values and returns the corresponding array indices.

Computes for each array element whether an element is a finite number.

Generates an array of linearly spaced dates.

Generates array tuples from input arrays.

Computes a moving sample standard deviation over a numeric array.

Provides a method to compute a sum incrementally.

Provides a method to compute a sample standard deviation incrementally.

Computes the minimum value of an array ignoring non-numeric values.

Computes the sample variance over an array of values ignoring any values which are not numeric.

A linear congruential pseudorandom number generator (lcg).

Provides a method to compute a sample variance incrementally.

Computes the cross product between two numeric arrays.

biggest is helps you safely compute very large numbers.

Computes the cumulative maximum of a numeric array.

Finds array elements which satisfy a test condition.

Computes the maximum value of an array ignoring non-numeric values.

Computes the minimum value of an array ignoring non-numeric values and returns the corresponding array indices.

Computes the median of an array ignoring non-numeric values.

Computes the product of an array ignoring any non-numeric values.

Shifts array elements (or string characters) circularly.

Computes the cosine of a number.

Computes sin(πx).

Distributed calculation / data processing system. Run computation/jobs on 1000+ cores

Computes the sine of a number.

Digamma function.

Natural logarithm of the gamma function.

A suite of JavaScript functions to compute mortgage values, such as monthly payments

A secure multi-party computation health check computation model.

Returns the next representable double-precision floating-point number after x toward y.

Computes the tangent of a number.

TypeScript build of the Summon compiler (via wasm).

Computes the Euclidean distance between two arrays.

Supporting module for working with mpc-framework

A library for defining, executing, and persisting stateful computation.

MPC framework supporting a variety of circuit generators and backends

A pragmatic functional programming library for JavaScript/TypeScript

Backend for mpc-framework powered by privacy-scaling-explorations/mpz

Reselect and re-reselect alternative. Smaller, faster, greater flexibility, and better interface.

Computes the Manhattan (city block) distance between two arrays.

Finds the first element equal to the maximum absolute value of x and returns the element index.

Unopinionated WebGPU Abstraction Library

Provide number operators for the computeTS package

Rounds a numeric value to the nearest integer.

Fimbul is a TypeScript library for elegant dependency resolution in computation graphs - powerful, minimal, and blazingly fast.

Computes the L2 norm (Euclidean norm).

Provide math operators for the computeTS package

Computes the Chebyshev distance between two arrays.

A library for defining lazily evaluated properties and variables powered by TypeScript.

The Euler-Mascheroni constant.

Gamma function.

interface for computational room acoustics

Computes exp(x) - 1.

A browser library for offloading heavy computations to web workers with memoization

Base 2 logarithm of Euler's number.

Tiny helper to prevent the event loop from getting stuck in asynchronous routines

Sets the more significant 32 bits of a double-precision floating-point number.

A Math library for computation in JavaScript

Copies values from x into y.

A robust modular arithmetic utility for JavaScript, handling both positive and negative integers with ease. Ensure consistent, non-negative results for your modulo operations. Perfect for mathematical computations, circular buffer implementations, and mor

An SDK for financial formulas and computations.

Computes the Minkowski distance between two arrays.

Provide structural operators for the computeTS package

Returns a 32-bit integer corresponding to the less significant 32 bits of a double-precision floating-point number.

Converts a double-precision floating-point number to the nearest single-precision floating-point number.

Computes the dot product of x and y.

Scales elements of `x` by a constant `alpha`.

Catalan's constant.

Interchanges the elements of x and y.

Minimum signed 8-bit integer.

Computes the sum of absolute values (L1 norm).

GOL(game of life) done in distributed manner

Construct a matrix from an array of arrays.

Maximum unsigned 16-bit integer.

Multiplies x and a constant and adds the result to y.

Automata in Typescript

Provide string operators for the computeTS package

Smallest positive single-precision floating-point number.

Basic linear algebra subroutines (BLAS).

Incomplete gamma function.

Segments an array into chunks.

Euler's number.

Maximum signed 8-bit integer.

Applies a function to each matrix element.

Wolfram Alpha and Wolfram Cloud integration plugin for ElizaOS

Multiplies a number by zero. Useful for when you need to multiply a number by zero.

Square root of double-precision floating-point epsilon.

Provide boolean operators for the computeTS package

Returns a string giving the literal bit representation of a double-precision floating-point number.

Maximum signed 32-bit integer.

Computes the relative difference of two real numbers.

Computes bˣ - 1.

Maximum unsigned 8-bit integer.

2π.

Core package for libraries creation