Simple, consistent interfaces for any codec.

`@pack!` and `@unpack` macros

Fixed point types for julia

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

Extra sorting algorithms extending Julia's sorting API

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

Zlib codecs for TranscodingStreams.jl.

Add virtual padding to the edges of an array

Interface for arithmetics on mutable types in Julia

Positive-definite "approximations" to matrices

Naïve combined subexpression elimination in Julia

Treat colors as if they are n-vectors for the purposes of arithmetic

A package which provides an API for querying differentiation results at multiple orders simultaneously

Primitives for construction of objects

A data-focused namespace for packages to share functions

Base package for optimization and equation solver software in JuliaNLSolvers

Interface for function inversion in Julia

Julia types for representing images

Create and control multiple Julia processes remotely for distributed computing. Ships as a Julia stdlib.

Lightweight package for sharing tensor-algebra definitions

Faster Rational-like types for Julia

Julia package for lazily viewing a 3D or 4D array as an expanded 2D array in the form of a mosaic of matrix slices

Support for the Woodbury matrix identity for Julia

A Julia package for adding different kinds of noise to signals like time series or images.

No more 🐱🐱

A statistics-focused namespace for packages to share functions

Interface package for StaticArrays.jl

Defines additional irrationals

Fast Poisson Random Numbers in pure Julia for scientific machine learning (SciML)

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Traits for julia tables

C-compatible enum for Julia

Interface for transformation functions in Julia

Traits for julia iterators

Efficient filtering and linear algebra routines for multidimensional arrays

A bzip2 codec for TranscodingStreams.jl.

Compute `real(dot(x, y))` efficiently.