This package implements handy macros @recipe and @series which will define a custom transformation and attach attributes for user types. Its design is an attempt to simplify and generalize the summary and display of types and data from external packages. With this package it is possible to describe visualization routines that can be used as components in more complex visualizations.

SoftGlobalScope is a package for the Julia language that simplifies the variable scoping rules for code in global scope. It is intended for interactive shells to make it easier to work interactively with Julia, especially for beginners.

The purpose of this package is to allow Julia function calls to be temporarily overloaded for the purpose of testing.

ImageInTerminal.jl is a drop-in package that once imported changes a how a single Colorant and whole Colorant arrays (i.e. Images) are displayed in the interactive REPL. The displayed images will be downscaled to fit into the size of your active terminal session.

This package provides types similar to Julia's Rational type, which make some sacrifices but have better computational performance.

This module provides a Julia interface to GR, a framework for visualisation applications.

This package provides an alternative interface for dictionaries in Julia, for improved productivity and performance.

When visualizing images, it is not uncommon to provide a 2D view of different image sources. For example, comparing multiple images of different sizes, getting a preview of machine learning dataset. This package aims to provide easy-to-use tools for such tasks.

This module provides support for reading and writing ZIP archives in Julia.

This package is made to be included into packages that just need the ffmpeg binaries + executables, and don't want the overhead of VideoIO.jl.

This package provides a functionality of files download with cURL, wget or HTTP.jl backends.

This package provides several functions to manipulate strings with ANSI escape sequences.

URIs.jl is a Julia package that allows parsing and working with URIs, as defined in RFC 3986.

This package provides a framework for implementing statically sized arrays in Julia, using the abstract type StaticArraySize,T,N <: AbstractArrayT,N. Subtypes of StaticArray will provide fast implementations of common array and linear algebra operations.

CoordinateTransformations is a Julia package to manage simple or complex networks of coordinate system transformations. Transformations can be easily applied, inverted, composed, and differentiated (both with respect to the input coordinates and with respect to transformation parameters such as rotation angle). Transformations are designed to be light-weight and efficient enough for, e.g., real-time graphical applications, while support for both explicit and automatic differentiation makes it easy to perform optimization and therefore ideal for computer vision applications such as SLAM (simultaneous localization and mapping).

This package provides a display system which enables the user handle multiple input/output devices and decide what media types get displayed where.

This package only contains and exports a single function realdot(x, y). It computes real(LinearAlgebra.dot(x, y)) while avoiding computing the imaginary part of LinearAlgebra.dot(x, y) if possible. The real dot product is useful when one treats complex numbers as embedded in a real vector space.

The VersionParsing package implements flexible parsing of version-number strings into Julia's built-in VersionNumber type, via the vparse(string) function. Unlike the VersionNumber(string) constructor, vparse(string) can handle version-number strings in a much wider range of formats than are encompassed by the semver standard. This is useful in order to support VersionNumber comparisons applied to "foreign" version numbers from external packages.

Extents.jl is a small package that defines an Extent object that can be used by the different Julia spatial data packages. Extent is a wrapper for a NamedTuple of tuples holding the lower and upper bounds for each dimension of a object.

This package provides tools for working with categorical variables, both with unordered (nominal variables) and ordered categories (ordinal variables), optionally with missing values.

This package provides the StructTypes.StructType trait for Julia types to declare the kind of "struct" they are, providing serialization/deserialization packages patterns and strategies to automatically construct objects.

This package compiles regular expressions into Julia code, which is then compiled into low-level machine code by the Julia compiler. The package is designed to generate very efficient code to scan large text data, which is often much faster than handcrafted code. Automa.jl can insert arbitrary Julia code that will be executed in state transitions. This makes it possible, for example, to extract substrings that match a part of a regular expression.

This package provides a collection of useful bit-twiddling tricks, ready to use as functions, with detailed documentation and example real-world use cases.

A Julia package for evaluating distances(metrics) between vectors. This package also provides optimized functions to compute column-wise and pairwise distances, which are often substantially faster than a straightforward loop implementation.