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 dot product between two numeric arrays.

Computes the cosine similarity between two 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.

Computes the median of an array.

Generates a linearly spaced index array from a subsequence string.

Returns an array constructor corresponding to an array data type.

Determines the underlying data type of an input value.

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

Matrices.

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

Returns an array constructor corresponding to an array data type.

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

Negative infinity.

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.

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

Rounds a numeric value toward negative infinity.

Rounds a numeric value toward positive infinity.

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

Two functions that measure the computation power

Computes the covariance between one or more numeric arrays.

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

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

Error function.

Computes the sample standard deviation over an array of values.

Natural exponential function.

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.

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

Evaluates a polynomial.

Rounds a numeric value toward zero.

Computes the interquartile range for an array of values.

Flattens an array.

Computes the geometric mean of an array.

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

Inverse complementary error function.

Computes the principal square root.

Calculate the cosine distance between arrays

Inverse error function.

Complementary error function.

Computes the square root of a sum of squares.

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

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 the sample skewness of an array of values.

Error function.

Positive infinity.

Minimum signed 32-bit integer.

Computes quantiles for numeric array.

Computation library.

Negative infinity.

Computes the arithmetic mean.

Computes the variance.

Computes the Hamming distance between two sequences.

Exponential function.

Computes the truncated mean of an array.

Computes a moving arithmetic mean over an array.

Community detection algorithm

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

Generates a linearly spaced numeric array.

Computes the sum.

Provides a method to compute a moving sum incrementally.

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

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

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

Provides a method to compute a maximum value incrementally.

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

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 mode of an array.

Provides a method to compute a moving sample variance incrementally.

Computes the arithmetic range of an array.

Computes for each array element whether an element is numeric.

Computes the harmonic mean over an array of values.

Computes the trimean of a numeric array.

Generates a logarithmically spaced 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.

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

Reverse an array.

Computes the maximum value of a numeric array.

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

Computes an element-wise addition.

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

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 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 minimum value incrementally.

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

Computes for each array element whether an element is NaN.

Pi.

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.

Complementary error function.

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

Computes a moving sum over an array.

Generates a linearly spaced numeric array using a provided increment.

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

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

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

Computes the Lp norm of an array of values.

Computes a moving minimum over a numeric array.

Computes an element-wise subtraction.

Computes the product.

Computes a moving product over an array.

Computes quantiles for an array ignoring non-numeric values.

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

Computes a weighted mean over an array of values.

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

Computes a trimmed midrange of a numeric array

Computes the midhinge of a numeric array.

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

Computes an element-wise absolute value.

Computes the harmonic mean of 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 cumulative product of an array.

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

Returns a boolean indicating if an input array is sorted.

Computes the mid-range of a numeric array.

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

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

Computes the cumulative minimum of a numeric array.

Generates an array of linearly spaced dates.

Provides a method to compute a sample standard deviation incrementally.

Provides a method to compute a sample variance incrementally.

Computes a moving sample standard deviation over a numeric array.

Computes a moving sample variance over a numeric array.

Computes the Tversky index between two sequences.

Unopinionated WebGPU Abstraction Library

Wolfram Alpha and Wolfram Cloud integration plugin for ElizaOS

Inverse complementary error function.

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).

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

Computes the tangent of a number.

Digamma function.

Promise-compatible asynchronous computation primitive

Reactive computational engine, with novel and unique properties

Supporting module for working with mpc-framework

TypeScript build of the Summon compiler (via wasm).

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

Maximum safe double-precision floating-point integer.

A secure multi-party computation health check computation model.

MPC framework supporting a variety of circuit generators and backends

Engine for mpc-framework powered by emp-toolkit

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

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

Minimum safe double-precision floating-point integer.

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

Euler's number.

The Euler-Mascheroni constant.

Computes the Euclidean distance between two arrays.

Natural logarithm of 2.

Square root of the golden ratio.

Basic linear algebra subroutines (BLAS).

An SDK for financial formulas and computations.

Natural logarithm of the square root of 2π.

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

GOL(game of life) done in distributed manner

Maximum unsigned 16-bit integer.

Effective number of bits in the significand of a half-precision floating-point number.

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

Effective number of bits in the significand of a double-precision floating-point number.

Cube root of double-precision floating-point epsilon.

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

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

Computes the L2 norm (Euclidean norm).

Maximum single-precision floating-point number.

Provide array operators for the computeTS package

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

Maximum unsigned 8-bit integer.

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.

Evaluates the natural logarithm of the beta function.

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

Base 10 logarithm of Euler's number.

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

Computes bˣ - 1.

Computes the Minkowski distance between two arrays.

Golden ratio.

A Math library for computation in JavaScript

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

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.

Single shot implementation of ridge regression in python for COINSTAC.

Creates a NaN-filled matrix or array.

Maximum signed 8-bit integer.

Signum function.

Minimum signed 32-bit integer.

Apéry's constant.

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

safebase is helps you safely compute very large numbers.

Provide number operators for the computeTS package

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.

Applies a function to each typed array element.

Maximum signed 32-bit integer.