Implements a Array with Map features: get, set, unset, containsKey, size etc,.
Move an array item to a different position
Utility method for finding the difference between arrays
Two-dimensional array
Deep join an array
library of recurring, unconnected functions
Deep reduce an array
Array Type for Yjs
Utility functions for React and TypeScript projects.
Some extension methods to ReScript's Js.Array2 module
Standalone zip and zipLongest functions that support all iterators.
calculate two array's similarity, like difflib.SequenceMatcher() in python.
Simple module for push object to a array
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JavaScript functions to combine N arrays of any size, distributing items evenly
Merge object arrays based on a key or callback function
This addon provides array helpers for Ember templates and components.
Takes 2 arrays as arguments, and if they match, returns true
JavaScript Map alternative notation
this package allows to use sets (as in python) in javascript.
Unique for array based on next.
ESLint style rules for minimizing diffs with line breaks around brackets
Search item in container (arrays, arrays of objects, strings, numbers...). Return index, existence, object, repetitions... anything you want!
perform boolean operations on arbitrary polygons in 2d
Tensor kernel operations: Khatri-Rao, Kronecker, Hadamard, n-mode products, MTTKRP
ndarray integration for OxiBLAS
Parameter-optional BLAS wrapper by ndarray::Array (Ix1 or Ix2).
Lightweight row-major 2D array foundation for grid-oriented crates
Graph Neural Network layer for Ruvector on HNSW topology
Image utility library
Solving multi-objective optimization problems using genetic algorithms.
A Rust library that allows you to represent the structure as an array. Ported from https://github.com/Nikitamuraviev10/struct_as_array.git to proc_macro2, syn 2.0 and quote 1.0
EXG (EEG/ECG/EMG) preprocessing — native Rust DSP + FIF reader, numerical parity with MNE-Python
A high-performance array storage and manipulation library
N-dimensional image processing module for SciRS2 (scirs2-ndimage)
Training loops, loss composition, and optimization schedules for TensorLogic
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