JSPM

Natural logarithm of the square root of 2π.

Test if a value is a number having a positive value.

Return a JSON representation of a typed array.

Test if a value is a typed array.

Test if a value is a complex typed array.

Return an accessor function for setting an element in an indexed array-like object.

Return an accessor function for retrieving an element from an array-like object supporting the get/set protocol.

Test if an array-like object supports the accessor (get/set) protocol.

Test if a value is a Complex64Array.

Compute the arcsine of a double-precision floating-point number.

Return the data type of an array.

Determine a function's name.

Channel module.

Return the imaginary component of a single-precision complex floating-point number.

Evaluate ln(1+x) - x.

Compute the binomial coefficient.

Return the minimum absolute value.

Compute the ratio of two gamma functions.

The minimum biased base 2 exponent for a normal double-precision floating-point number.

Inverse incomplete gamma function.

Return the maximum absolute value.

Array module.

Test if a value is an array-like object.

Reinterpret a Complex128Array as a Float64Array.

Cmp module.

Define a non-enumerable read-write accessor.

A 32-bit Mersenne Twister pseudorandom number generator.

Beta function.

Modulus function.

Copy values from x into y.

Return an accessor function for retrieving an element from an indexed array-like object.

Maximum single-precision floating-point number.

Return an accessor function for setting an element in an array-like object supporting the get/set protocol.

Agentic AI utils which work with any LLM and TypeScript AI SDK.

Chi-squared distribution cumulative distribution function (CDF).

Test if a value is a Complex128Array.

Radix trie module.

Test if a value is array-like.

Incomplete beta function and its first derivative.

Calculate the Lanczos sum for the approximation of the gamma function.

List of ndarray data types.

Lodash exported as AMD modules.

Evaluate the tangent of a number.

Compute the tangent of a double-precision floating-point number on [-π/4, π/4].

Test if a value is an array-like object of numbers.

Detect native function name support.

Common APIs shared across base pseudorandom number generators.

The minimum base 10 exponent for a normal double-precision floating-point number.

Gamma distribution cumulative distribution function (CDF).

Return a function which tests if every element in an array-like object passes a test condition.

Smallest positive double-precision floating-point number.

Square root of 2.

The minimum base 10 exponent for a subnormal double-precision floating-point number.

Test if a value is typed-array-like.

Inverse incomplete beta function.

An Extensive JavaScript Standard Library.

Uniformly distributed pseudorandom numbers between 0 and 1.

Compute the arccosine of a double-precision floating-point number.

Test if a finite double-precision floating-point number is a negative integer.

Test if a value is a probability.

Calculate the variance of a strided array using a two-pass algorithm.

Trim whitespace characters from the beginning and end of a string.

Inverse error function.

Gamma distribution quantile function.

Test if a finite double-precision floating-point number is a nonnegative integer.

Round a double-precision floating-point number to the nearest multiple of 10^n.

A linear congruential pseudorandom number generator (LCG) based on Park and Miller.

A linear congruential pseudorandom number generator (LCG) whose output is shuffled.

The maximum base 10 exponent for a double-precision floating-point number.

Inverse incomplete beta function.

Adds a constant to each strided array element and computes the sum using pairwise summation.

Compute the greatest common divisor (gcd).

Uniformly distributed pseudorandom numbers.

Normal distribution quantile function.

Degenerate distribution probability density function (PDF).

Calculate the sum of strided array elements using pairwise summation.

Chi-squared distribution variance.

Digamma function.

Natural logarithm of the beta function.

Gamma distribution logarithm of probability density function (PDF).

Chi-squared distribution median.

Chi-squared distribution standard deviation.

Normally distributed pseudorandom numbers using the improved Ziggurat method.

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Normally distributed pseudorandom numbers using the Box-Muller transform.

Weibull distributed pseudorandom numbers.

Base pseudorandom number generators.

Hypergeometric distributed pseudorandom numbers.

Chi-squared distribution quantile function.

Inverse gamma distributed pseudorandom numbers.

Gamma distributed pseudorandom numbers.

Tokenize a string.

Exponentially distributed pseudorandom numbers.

Discrete uniform distributed pseudorandom numbers.

Evaluate the natural logarithm of the factorial function.

Chi-squared distribution constructor.

Chi-squared distribution probability density function (PDF).

Chi-squared distribution expected value.

Calculate the arithmetic mean of a strided array.

Copy enumerable own properties from one or more source objects to a target object.

Chi-square distributed pseudorandom numbers.

Raised cosine distribution quantile function.

Chi distributed pseudorandom numbers.

Negative binomial distributed pseudorandom numbers.

Pareto (Type I) distributed pseudorandom numbers.

Function.

Beta distribution quantile function.

Return an array of an object's own symbol properties.

Autocode standard library Node.js bindings

Pseudorandom numbers having integer values.

Revive a JSON-serialized pseudorandom number generator (PRNG).

Return a JSON representation of an error object.

Calculate the variance of a strided array.

Chi-squared distribution kurtosis.

Test if an array-like value contains a search value.

Raised cosine distribution cumulative distribution function (CDF).

Slice.

Proxy.

Gamma distribution probability density function (PDF).

Chi-squared distribution moment-generating function (MGF).

Chi-squared distribution entropy.

Beta distributed pseudorandom numbers.

Poisson distributed random numbers.

Beta prime distributed pseudorandom numbers.

Arcsine distributed pseudorandom numbers.

Raised cosine distributed pseudorandom numbers.

Erlang distributed pseudorandom numbers.

Kumaraswamy's double bounded distributed pseudorandom numbers.

Gumbel distributed pseudorandom numbers.

The modern build of lodash’s `_.findWhere` as a module.

Degenerate distribution probability mass function (PMF).

Maximum safe nth factorial when stored in double-precision floating-point format.

Normally distributed pseudorandom numbers.

Test if a value is an array-like object containing only nonnegative integers.

Student's t distribution cumulative distribution function (CDF).

Chi-squared distribution skewness.

Test if a finite double-precision floating-point number is a positive integer.

Degenerate distribution logarithm of probability density function (logPDF).

Calculate the arithmetic mean of a strided array using a two-pass error correction algorithm.

Return an array of an object's own enumerable property names and symbols.

Logistic distributed pseudorandom numbers.

Log-normally distributed pseudorandom numbers.

F distributed pseudorandom numbers.

Geometric distributed pseudorandom numbers.

Lévy distributed pseudorandom numbers.

Standard iterator utilities.

Test if a double-precision floating-point number is a probability.

C APIs for creating Node-API native add-ons.

Chi-squared distribution mode.

Chi-squared distribution.

Natural logarithm of the probability density function (PDF) for a chi-squared distribution.

Object.

Triangular distributed pseudorandom numbers.

Fréchet distributed pseudorandom numbers.

Cauchy distributed pseudorandom numbers.

Binomial distribution probability mass function (PMF).

Binomial distribution cumulative distribution function (CDF).

Poisson distribution probability mass function (PMF).

Datasets.

Implement prototypical inheritance by replacing the prototype of one constructor with the prototype of another constructor.

Binomial distributed pseudorandom numbers.

Bernoulli distributed pseudorandom numbers.

Compute a sum incrementally.

Standard normal pseudorandom numbers.

Laplace (double exponential) distributed pseudorandom numbers.

Student's t-distributed pseudorandom numbers.

Rayleigh distributed pseudorandom numbers.

Normal distribution cumulative distribution function (CDF).

Exact test for the success probability in a Bernoulli experiment.

Default array settings.

Compute the natural logarithm of the binomial coefficient.

Sample elements from an array-like object.

Split a string into an array of sentences.

Boolean.

Student's t distribution quantile function.

Test if a value is a number having a nonnegative value.

Lodash modular utilities.

Test if a value is an array of strings.

WebAssembly.

BLAS memory layouts.

Test if an array contains a provided search value.

Test if a value is Node writable stream-like.

Return a high-resolution time.

Assert that a Node-API value is a specified Node-API data type.

The modern build of lodash modular utilities.

Return a high-resolution time difference.

Benchmark harness.

Maximum Unicode code point in the Basic Multilingual Plane (BMP).

Poisson distribution cumulative distribution function (CDF).

Two-sample Student's t-Test.

Check if the runtime is a web browser.

Detect native ArrayBuffer support.

Return a partial object copy containing only specified keys.

Test if a value is an array of probabilities that sum to one.

Negative binomial distribution quantile function.

BigInts.

Check if the runtime is Node.js.

List of ndarray index modes.

Capitalize the first character in a string.

Base multidimensional array.

Maximum Unicode code point.

Transform stream.

Return the number of bytes per element provided an underlying array data type.

Standard library for Node/Sails applications. Hand-picked and maintained by the Sails.js core team.

Test if a value is a DataView.

Compute the absolute difference of two real numbers.

Beta distribution cumulative distribution function (CDF).

Array constructors.

Given a stride array, determine array iteration order.

Test if a value is Node stream-like.

Test if a value is null.

Convert a Node-API value to a double-precision floating-point array.

Create a filled generic array according to a provided callback function.

Return the real component of a double-precision complex floating-point number.

Convert a Node-API value to a double-precision floating-point number.

Wrap `require` in a try/catch block.

Negative binomial distribution moment-generating function (MGF).

C utilities for registering Node-API modules.

DataView.

Create a string from a sequence of Unicode code points.

List of array data types.

Detect native DataView support.

Determine the order of a multidimensional array based on a provided stride array.

Invert an object, such that keys become values and values become keys.

C utilities for asserting that a Node-API call returns an "ok" status.

Return the imaginary component of a double-precision complex floating-point number.

List of ndarray orders.

Assert that two Node-API data types are equal.

Assert that a Node-API value is a Node-API typed array.

Assert that two Node-API typed array data types are equal.

Return the data type string associated with an ndarray data type enumeration constant.

Return the data type string associated with a supported ndarray data type value.

Default ndarray settings.

Normalize an index to the interval [0,max].

Calculate the standard deviation of a strided array.

Return a partial object copy excluding specified keys.

Convert a Node-API value to a signed 64-bit integer.

Test if an input value is a supported ndarray index mode.

C utilities for retrieving Node-API add-on callback arguments.

Test if an input value is a supported ndarray data type.

Determine if a buffer length is compatible with provided ndarray meta data.

Apply a binary callback to elements in strided input arrays and assign results to elements in a strided output array.

ArrayBuffer.

Detect native BigInt support.

Test if an input value is an ndarray order.

Convert a Node-API value representing a strided array to a double-precision floating-point array.

Convert an ndarray buffer to a generic array.

Compute the minimum and maximum linear indices in an underlying data buffer which are accessible to an array view.

Convert an integer-valued double-precision floating-point number to a signed 64-bit integer byte array according to host byte order.

Apply a nullary callback and assign results to elements in a strided output array.