JSPM

Returns an array constructor corresponding to an array data type.

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

Computes an absolute value.

Computes a quantile for a numeric array.

Computes the quadratic mean (root mean square).

Maximum signed 32-bit integer.

Provides a method to compute a moving arithmetic mean incrementally.

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

Evaluates a polynomial.

Natural exponential function.

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

Rounds a numeric value toward negative infinity.

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

Rounds a numeric value toward positive infinity.

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

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

Two functions that measure the computation power

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

Computes the covariance between one or more numeric arrays.

Error function.

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 sample standard deviation over an array of values.

Evaluates a polynomial.

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

Computes the interquartile range for an array of values.

Flattens an array.

Rounds a numeric value toward zero.

Computes the geometric mean of an array.

Calculate the cosine distance between arrays

Computes the principal square root.

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

Inverse complementary error function.

Inverse error function.

Complementary error function.

Error function.

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

Computes the square root of a sum of squares.

Computes the sample excess kurtosis of an array of values.

Natural logarithm.

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

Computes quantiles for numeric array.

Computes the sample skewness of an array of values.

Exponential function.

Negative infinity.

Positive infinity.

Minimum signed 32-bit integer.

Computation library.

Complementary error function.

Computes the arithmetic mean.

Computes the variance.

Computes the Hamming distance between two sequences.

Computes the truncated mean of an array.

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

Generates a linearly spaced numeric array.

Computes a moving arithmetic mean over an array.

Provides a method to compute a moving sum incrementally.

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

Community detection algorithm

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

Computes a moving maximum over a numeric array.

Computes an element-wise multiplication of a numeric array.

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

Computes the sum.

Provides a method to compute a moving sample variance incrementally.

Computes the mode of an array.

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

Computes the arithmetic range of an array.

Computes for each array element whether an element is numeric.

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

Provides a method to compute a maximum value incrementally.

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

Generates a logarithmically spaced numeric array.

Computes the harmonic mean over an array of values.

Computes the trimean of a numeric array.

Computes an element-wise principal square root.

Computes the minimum value of an array.

Provides a method to compute an arithmetic mean incrementally.

Reverse an array.

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

Computes an element-wise addition.

Evaluates a rational function.

Shuffles array elements in place.

Computes an element-wise division.

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

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

Computes the maximum value of a numeric array.

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

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

Computes a moving product over an array.

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

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

Provides a method to compute a minimum value incrementally.

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

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

Computes for each array element whether an element is NaN.

Computes a moving minimum over a numeric array.

Computes an element-wise subtraction.

Computes the Lp norm of an array of values.

Computes the product.

Computes quantiles for an array ignoring non-numeric values.

Computes a weighted mean over an array of values.

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

Pi.

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

Signum function.

Computes the interdecile range of an array of values.

Computes for each array element whether an element is infinite.

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

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

Generates array tuples from input arrays.

Computes the hypotenuse of a right triangle.

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

Provides a method to compute a sum incrementally.

Removes duplicate values from a numeric array.

Finds array elements which satisfy a test condition.

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

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

Computes the cross product between two numeric arrays.

Shifts array elements (or string characters) circularly.

Computes a moving sample variance over a numeric array.

Computes a moving sample standard deviation over a numeric array.

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

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

Computes a moving sum over an array.

Computes the midhinge of a numeric array.

Computes the Tversky index between two sequences.

Computes an element-wise absolute value.

Generates a linearly spaced numeric array using a provided increment.

Computes a trimmed midrange of a numeric array

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

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

Computes the cumulative maximum of a numeric array.

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

Computes the cumulative product of an array.

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

Computes the cumulative sum of a numeric array.

Round values to the nearest multiple of 10^n.

Computes the mid-range of a numeric array.

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

Computes the cumulative minimum of a numeric array.

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

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

Returns a boolean indicating if an input array is sorted.

Provides a method to compute a sample standard deviation incrementally.

Provides a method to compute a sample variance incrementally.

Generates an array of linearly spaced dates.

Inverse complementary error function.

Unopinionated WebGPU Abstraction Library

Wolfram Alpha and Wolfram Cloud integration plugin for ElizaOS

Computes sin(πx).

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

Computes the sine of a number.

Computes the cosine of a number.

Natural logarithm of the gamma function.

Inverse error function.

A linear congruential pseudorandom number generator (lcg).

Computes the tangent of a number.

Digamma function.

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

Reactive computational engine, with novel and unique properties

Supporting module for working with mpc-framework

TypeScript build of the Summon compiler (via wasm).

Promise-compatible asynchronous computation primitive

MPC framework supporting a variety of circuit generators and backends

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

Minimum safe double-precision floating-point integer.

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

Maximum safe double-precision floating-point integer.

Engine for mpc-framework powered by emp-toolkit

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

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

Rounds a numeric value to the nearest integer.

Provide math operators for the computeTS package

Computes the Euclidean distance between two arrays.

Basic linear algebra subroutines (BLAS).

An SDK for financial formulas and computations.

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

Maximum unsigned 16-bit integer.

GOL(game of life) done in distributed manner

Creates a single-precision floating-point number from a literal bit representation.

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

Computes the L2 norm (Euclidean norm).

Provide array operators for the computeTS package

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

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

The Euler-Mascheroni constant.

Flips a matrix horizontally.

Glaisher-Kinkelin constant.

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

Evaluates the natural logarithm of the beta function.

A secure multi-party computation health check computation model.

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

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

Computes bˣ - 1.

Returns an integer corresponding to the significand of a single-precision floating-point number.

Single shot implementation of ridge regression in python for COINSTAC.

Euler's number.

Signum function.

Computes the Minkowski distance between two arrays.

Golden ratio.

A Math library for computation in JavaScript

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

💾 Memoize a function the way you want.

Creates a double-precision floating-point number from a literal bit representation.

Maximum signed 8-bit integer.

Apéry's constant.

Creates a NaN-filled matrix or array.

Provide number operators for the computeTS package

The Euler-Mascheroni constant.

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

Dirichlet eta function.

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

Catalan's constant.

Catalan's constant.

Applies a function to each matrix element.

Square root of 2.

Rounds a numeric value to the nearest multiple of 10^n.

Applies a function to each typed array element.

Maximum signed 32-bit integer.

Copies values from x into y.

Rotates a matrix by 90 degrees.

Maximum unsigned 8-bit integer.

Maximum unsigned 16-bit integer.

Riemann Zeta function.

Base 2 logarithm of Euler's number.

Provide boolean operators for the computeTS package

A package to handle formula calculations and dependency management

Incomplete gamma function.

Maximum signed 16-bit integer.

Natural logarithm of 2.

Provide date operators for the computeTS package

Core package for libraries creation

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

Maximum unsigned 32-bit integer.

A pragmatic functional programming library for JavaScript/TypeScript

safebase is helps you safely compute very large numbers.

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

Computes the Chebyshev distance between two arrays.

Genetic algorithms

2π.

Use this package for simple computation purpose

Natural logarithm of the square root of 2π.

Flips a matrix vertically.

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

Smallest positive single-precision floating-point number.

Returns the maximum value of a specified integer type.

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

Arrays.

Creates a ones-filled matrix or array.