Julia implementation of associative containers that preserve insertion order

-

-

SparseArrays.jl is a Julia stdlib

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

Collective tools for metaprogramming on Julia Expr

Simple, consistent interfaces for any codec.

Cunning tricks though the julia compiler internals

`@pack!` and `@unpack` macros

Fixed point types for julia

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

Basic color definitions and traits

Light-weight expression manipulation tools

🏩🏠🌆🏨🌇🏦

A simple shared suite of common derivative definitions

-

-

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

A Julia package for describing domains as continuous sets of elements

Missing value support for Julia

A Julia package for calculating hypergeometric functions

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.

Multivariate polynomials implementation of commutative and non-commutative variables

Delay differential equation (DDE) solvers in Julia for the SciML scientific machine learning ecosystem. Covers neutral and retarded delay differential equations, and differential-algebraic equations.

Scratch spaces for all your persistent mutable data needs

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

Faster closure variable capture

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

Extra sorting algorithms extending Julia's sorting API

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

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 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