This package aims to offer a standard set of Geometry types, which easily work with metadata, query frameworks on geometries and different memory layouts. The aim is to create a solid basis for Graphics/Plotting, finite elements analysis, Geo applications, and general geometry manipulations - while offering a Julian API, that still allows performant C-interop.

Common functional iterator patterns (formerly Iterators.jl).

This package is the counterpart of AbstractArray interface, but for GPU array types. It provides functionality and tooling to speed-up development of new GPU array types. This package is not intended for end users; instead, you should use one of the packages that builds on GPUArrays.jl, such as CUDA.jl, oneAPI.jl or AMDGPU.jl.

Graphics.jl is an abstraction layer for graphical operations in Julia.

This package provides the @muladd macro. It automatically converts expressions with multiplications and additions or subtractions to calls with muladd which then fuse via FMA when it would increase the performance of the code. The @muladd macro can be placed on code blocks and it will automatically find the appropriate expressions and nest muladd expressions when necessary. In mixed expressions summands without multiplication will be grouped together and evaluated first but otherwise the order of evaluation of multiplications and additions is not changed.

PlotThemes is a package to spice up the plots made with Plots.jl.

MbedTLS.jl provides a wrapper around the mbed TLS and cryptography C library for Julia.

This package determines tabular file formats based on file extensions. It is intended to be the base both for TableIO.jl and for the Pluto.jl tabular data import functionality.

This package supports SI units and also many other unit system.

This package provides an interface to invert functions.

This package will provide a library of functions useful for machine learning, such as softmax, sigmoid, convolutions and pooling. It doesn't provide any other "high-level" functionality like layers or AD.

This package provides some common helper functions that make it easier to implement various Base.show functions for types that participate in the TableTraits.jl ecosystem.

Minimal package which enables to add custom gradients to Zygote, without depending on Zygote itself.

This Julia package provides the adapt(T, x) function acts like convert(T, x), but without the restriction of returning a T. This allows you to "convert" wrapper types like Adjoint to be GPU compatible without throwing away the wrapper.

This Julia package provides several utilities for working with tree-like data structures. Most importantly, it defines the children method that any package that contains such a data structure may import and extend in order to take advantage of any generic tree algorithm in this package.

This package provides tools for transcoding data streams which are:

• fast: small overhead and specialized methods

• consistent: basic I/O operations work as expected

• generic: support any I/O objects like files, buffers, pipes, etc.

• extensible: easy definition for new codec to transcode data

This library generalizes and unifies the notion of measures used in Compose, Compose3D, and Escher. It allows building up and representing expressions involving differing types of units that are then evaluated, resolving them into absolute units.

This package provides a convenient Julia interface for loading standard named test images and example images for the internal usage in JuliaImages. This can be used in conjunction with the Images package.

BufferedStreams.jl provides buffering for IO operations. It can wrap any IO type automatically making incremental reading and writing faster.

The goal of RangeArrays is to provide efficient and convenient array data structures where the columns of the arrays are generated (on the fly) by Ranges.

This package implements a trait-based framework for describing array layouts such as column major, row major, etc. that can be dispatched to appropriate BLAS or optimised Julia linear algebra routines. This supports a much wider class of matrix types than Julia's in-built StridedArray.

This package provides fall-back implementations for a collection of traits possessed by statistical objects. A trait is a function with a single arguments that is a Julia type, which might encode type metadata for inspection or for use in function dispatch.

This package provides string distances in Julia. Distances are defined for AbstractStrings, and any iterator that define length(). The package also defines Distance "modifiers" that can be applied to any distance.

This package provides Julia implementation for reading and writing FITS files, based on the cfitsio library.