Constructor for performing a reduction on an input ndarray.
Calculate the minimum value of a single-precision floating-point strided array, ignoring NaN values.
Create an uninitialized ndarray having the same shape and data type as a provided ndarray.
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values.
ES module distribution for Stdlib, a standard library for JavaScript and Node.js.
Calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation and returning an extended precision result.
A "standard library" of stuff I find to routinely be useful in Node.js
A repository for generating content for llms.txt and llms-full.txt files used by Rust libraries.
Template project for writing node package with napi-rs
A foreign function interface (FFI) for Node.js, N-API style, with "v8::ArrayBuffer::GetBackingStore" patch
Compile a module for evaluating a polynomial.
Compute the number of representable single-precision floating-point values that separate two single-precision floating-point numbers along the real number line.
Calculate the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm.
Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm with extended accumulation and returning an extended precision result.
Arcsine distribution variance.
useful add-ons for react-three-fiber
Object containing the user environment.
Calculate the variance of a strided array ignoring NaN values and using a one-pass textbook algorithm.
Native Zcash key derivation and shielded sync — Node.js (NAPI)
Cauchy distribution logarithm of probability density function (logPDF).
Compute cos(πx).
Determine the minimum ndarray data type of the closest kind necessary for storing a provided scalar value.
Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass trial mean algorithm.