-

-

SparseArrays.jl is a Julia stdlib

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

Cunning tricks though the julia compiler internals

Simple, consistent interfaces for any codec.

Collective tools for metaprogramming on Julia Expr

`@pack!` and `@unpack` macros

Solution of Lyapunov, Sylvester and Riccati matrix equations using Julia

A simple index type that allows for inverted selections

Some utilities for working with NamedTuples

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

-

-

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 toolbox to represent 3D rotations of coordinate frames for Julia language.

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.

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.

Zlib codecs for TranscodingStreams.jl.

Makes Julia's package extensions backwards compatible

Interface for arithmetics on mutable types in Julia

A pooled representation for arrays with few unique elements

Fixed-width string types for Julia

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