Interface for arithmetics on mutable types in Julia

Zlib codecs for TranscodingStreams.jl.

Static types useful for dispatch and generated functions.

Extra sorting algorithms extending Julia's sorting API

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

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

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

A Julia package for calculating hypergeometric functions

Missing value support for Julia

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

A simple shared suite of common derivative definitions

Filesystem path types in julia

A simple index type that allows for inverted selections

`@pack!` and `@unpack` macros

Simple, consistent interfaces for any codec.

SparseArrays.jl is a Julia stdlib

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Julia implementation of associative containers that preserve insertion order

Random Number Generators for the Julia Language.

Uniform Interface for positive definite matrices of various structures

Extensions for Julia's docsystem.

Fast parsing machinery for basic types in Julia

Line search methods for optimization and root-finding

Project Preferences Package

Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations

String Distances in Julia

Compatibility across Julia versions

Colored and styled strings for terminals.

An enhancement to julia piping syntax

Julia macro for re-exporting one module from another

Julia package for lazily representing matrices filled with a single entry

Fortran-like arrays with arbitrary, zero or negative starting indices.

Lazy code loading for Julia

Reduce time-to-first-execution of Julia code

Convenient input and display of LaTeX equation strings for the Julia language

Mathematical functions related to statistics.

Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support

AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any particular AD system.

The Julia compiler frontend

Julia package for Gaussian quadrature