Julia package for matrix pseudospectra and related quantities

A Julia package for strided array views and efficient manipulations thereof

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 shifted arrays for data analysis in Julia

Efficient storage and handling of nested arrays in Julia

A Julia package for representing infinite-dimensional arrays

Efficient implementation of struct arrays in Julia

Lazy arrays and linear algebra in Julia

Functionality for working efficiently with block diagonal matrices.

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

Lightweight robust covariance estimation in Julia

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

Solution of Lyapunov, Sylvester and Riccati matrix equations using Julia

A package for representing quasi-arrays

Flexible and performant GEMM kernels in Julia

Additional range syntax for Julia

Library supporting the ArrayInterface.jl strided array interface.

TimeArrays simplifies working with time series data. It offers features like basic math operations, sliding window techniques, data resampling, and handling of missing values

Highly optimized K-SVD implementation in Julia, with several parallelization techniques available.