SparseArrays.jl is a Julia stdlib

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

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

Simple, consistent interfaces for any codec.

Cunning tricks though the julia compiler internals

Collective tools for metaprogramming on Julia Expr

`@pack!` and `@unpack` macros

Solution of Lyapunov, Sylvester and Riccati matrix equations using Julia

Fixed point types for julia

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

Light-weight expression manipulation tools

Basic color definitions and traits

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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 matrix multiplication and division for Toeplitz matrices in Julia

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

Expression transformation package

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

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

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

Faster closure variable capture

Extra sorting algorithms extending Julia's sorting API

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

Allocate arrays with malloc, calloc, or on NUMA nodes

Static types useful for dispatch and generated functions.

Zlib codecs for TranscodingStreams.jl.

Makes Julia's package extensions backwards compatible

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

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

Calculating contour curves for 2D scalar fields in Julia

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

Julia implementation of HyperDualNumbers

Lightweight robust covariance estimation in Julia

Wrapper around mbedtls