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SparseArrays.jl is a Julia stdlib

Julia-based implementation of ellipsis array indexing notation `..`

This is what I wish `Base.@enum` was.

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

Cunning tricks though the julia compiler internals

Simple, consistent interfaces for any codec.

Collective tools for metaprogramming on Julia Expr

`@pack!` and `@unpack` macros

TAR files: create, list, extract them in pure Julia

Fixed point types for julia

Light-weight expression manipulation tools

Basic color definitions and traits

🏩🏠🌆🏨🌇🏦

A simple shared suite of common derivative definitions

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Julia package for various special functions based on `log` and `exp`.

Missing value support for Julia

Base library providing vectorization-tools (ie, SIMD) that other libraries are built off of.

Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard interface.

Scratch spaces for all your persistent mutable data needs

A Julia macro to add == and hash() to composite types.

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

Ask the CPU for cache sizes, SIMD feature support, a running hypervisor, and more.

Library supporting the ArrayInterface.jl strided array interface.

Faster closure variable capture

A Julia package for describing array layouts and more general fast linear algebra

Julia math built-ins which return NaN and accumulator functions which ignore NaN

Extra sorting algorithms extending Julia's sorting API

Static types useful for dispatch and generated functions.

Unrolling loops at compile-time

Zlib codecs for TranscodingStreams.jl.

Makes Julia's package extensions backwards compatible

A performant, 100% native-julia SHA1, SHA2, and SHA3 implementation

Calculating contour curves for 2D scalar fields in Julia

This package contains a macro for converting expressions to use muladd calls and fused-multiply-add (FMA) operations for high-performance in the SciML scientific machine learning ecosystem

SciMLOperators.jl: Matrix-Free Operators for the SciML Scientific Machine Learning Common Interface in Julia

Julia implementation of HyperDualNumbers

Fast, LoopVectorization.jl-based summary statistics