Load images in Julia. Designed for FileIO interaction. Supports PNG and Portable Bitmap formats

Julia types for representing images

Morphological operations for image processing

URI parsing in Julia

Inline graphical display of images in Julia graphical environments

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

Julia implementation of zlib decompression

Lightweight package for sharing tensor-algebra definitions

Array types that can use sentinel values of the element type for special values

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

Faster Rational-like types for Julia

Support for the Woodbury matrix identity for Julia

A minimal String type for Julia that allows for efficient string representation and transfer

Pirated SLEEF port.

No, no, not now

Julia package for fast fourier transforms and periodic views

No more 🐱🐱

Under some conditions you may need this function

Julia implementation of indexed or "lookup" arrays

QOI (Quite OK Image) format decoder/encoder.

FileIO.jl integration for PNG files

A package for reading and writing files with delimited values (Originally a Julia stdlib)

Utilities for low overhead threading in Julia.

A statistics-focused namespace for packages to share functions

Interface package for StaticArrays.jl

Defines additional irrationals

BitFlag.jl provides an Enum-like type for bit flag option values.

Julia interface to libjpeg-turbo

Julia bind to fzf fuzzy finder

Utilities for doing multithreaded or distributed work in Julia

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Distances between N-dimensional images

Interface designs for enforcing static computations in array functions with Julia

ANSI escape code translator

Tools for writing functions that handle many kinds of IO arguments

Unified measure and coordinates types

Abstract syntax tree representation of Markdown documents in Julia

Access `version`, `uuid`, etc. in `Project.toml`

A Julia package for determining thresholds by analyzing one-dimensional histograms