Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations

Testing new ideas for array iteration

Metaprogramming for Julia arrays

Efficient storage and handling of nested arrays in Julia

A Julia package to explore a new system of array views

Generic array-view type with APL indexing semantics

Efficient filtering and linear algebra routines for multidimensional arrays

Performant arrays where each dimension can have a named axis with values

A Julia package for representing banded matrices

A Julia package for representing block-banded matrices and banded-block-banded matrices

Functionality for working efficiently with block diagonal matrices.

Arrays for working with categorical data (both nominal and ordinal)

Julia package for indices-aware array concatenation and growth

ChunkedArrays.jl is a package for increasing the performance of arrays generated iteratively

Tools for convolutions of multi-dimensional arrays in Julia.

Lightweight robust covariance estimation in Julia

Julia package for doing arithmetic on endpoints in array indexing

This package is deprecated for modern and up-to-date see https://github.com/alsam/OffsetArrays.jl

Flexible and performant GEMM kernels in Julia

Hierarchical Matrix in Julia and Matlab

Statically-sized immutable vectors and matrices.

Vectors of unique elements, with quick reverse lookups

Julia implementation of indexed or "lookup" arrays

A Julia package for representing infinite-dimensional arrays

Convenient macros for in-place matrix operations in Julia

Judy Array for Julia

A general-purpose toolbox for efficient Kronecker-based algebra.

K-SVD in Julia

Arrays which also have a label for each element for easy scientific machine learning (SciML)

Handle large columns (vectors of equal length) with bits types in Julia using mmap.

Lazy arrays and linear algebra in Julia

Lazy in-place transformations of arrays

An Extensible Test Matrix Collection for Julia

Solution of Lyapunov, Sylvester and Riccati matrix equations using Julia

A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations

Julia type that implements a drop-in replacement of Array with named dimensions

Performant arrays where each axis can be named

[DEPRECATED] NamedTuples.jl

Ragged arrays in Julia

Add virtual padding to the edges of an array