Matrix Theory Packages
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StrideArrays.jl54Library supporting the ArrayInterface.jl strided array interface.
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AxisArrays.jl200Performant arrays where each dimension can have a named axis with values
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WoodburyMatrices.jl23Support for the Woodbury matrix identity for Julia
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Kronecker.jl86A general-purpose toolbox for efficient Kronecker-based algebra.
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Pseudospectra.jl24Julia package for matrix pseudospectra and related quantities
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StructArrays.jl319Efficient implementation of struct arrays in Julia
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CategoricalArrays.jl125Arrays for working with categorical data (both nominal and ordinal)
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MappedArrays.jl89Lazy in-place transformations of arrays
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LabelledArrays.jl120Arrays which also have a label for each element for easy scientific machine learning (SciML)
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StaticArrays.jl761Statically sized arrays for Julia
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BandedMatrices.jl128A Julia package for representing banded matrices
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InfiniteArrays.jl72A Julia package for representing infinite-dimensional arrays
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LazyArrays.jl303Lazy arrays and linear algebra in Julia
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ArrayInterface.jl133Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations
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BlockDiagonals.jl49Functionality for working efficiently with block diagonal matrices.
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PaddedViews.jl49Add virtual padding to the edges of an array
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Strided.jl147A Julia package for strided array views and efficient manipulations thereof
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MatrixEquations.jl81Solution of Lyapunov, Sylvester and Riccati matrix equations using Julia
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TimeArrays.jl29TimeArrays simplifies working with time series data. It offers features like basic math operations, sliding window techniques, data resampling, and handling of missing values
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GemmKernels.jl78Flexible and performant GEMM kernels in Julia
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