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.

This package provides the @OptionalData macro and the corresponding OptData type which is a thin wrapper around a nullable value (of type UnionT, Nothing where T). It allows you to load and access globally available data at runtime in a type-stable way.

Parsers.jl is a collection of type parsers and utilities for Julia.

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 provides support for the Woodbury matrix identity for the Julia programming language. This is a generalization of the Sherman-Morrison formula. Note that the Woodbury matrix identity is notorious for floating-point roundoff errors, so be prepared for a certain amount of inaccuracy in the result.

This package provides a set of tools for working with tabular data in Julia. Its design and functionality are similar to those of Pandas from Python or data.frame, data.table and dplyr from R, making it a great general purpose data science tool, especially for those coming to Julia from R or Python.

This package provides an interface to invert functions.

This package allows a few "forward" definitions for the DataValues.jl package that other packages can utilize for integration without having to take direct dependencies.

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

This package provides a combinatorics library for Julia, focusing mostly (as of now) on enumerative combinatorics and permutations.

This package provides special mathematical functions, including Bessel, Hankel, Airy, error, Dawson, exponential (or sine and cosine) integrals, eta, zeta, digamma, inverse digamma, trigamma, and polygamma functions.

This package provides various examples.

This package is an implementation of tropical (min-plus) arithmetic in Julia.

IteratorInterfaceExtensions defines a small number of extensions to the iterator interface.

Measurements.jl is an error propagation calculator and library for physical measurements. It supports real and complex numbers with uncertainty, arbitrary precision calculations, operations with arrays, and numerical integration. The linear error propagation theory is employed to propagate the errors.

Optimisers.jl defines many standard gradient-based optimisation rules, and tools for applying them to deeply nested models.

This package provides another JSON package for Julia, with a focus on speed and slick struct mapping.

This package contains the underlying query operators that are exposed to users in Query.jl.

The Compat package is designed to ease interoperability between older and newer versions of the Julia language. The Compat package provides a macro that lets you use the latest syntax in a backwards-compatible way.

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.

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 the ability to directly call and fully interoperate with Python from the Julia language. You can import arbitrary Python modules from Julia, call Python functions (with automatic conversion of types between Julia and Python), define Python classes from Julia methods, and share large data structures between Julia and Python without copying them.

TableTraits defines a generic interface for tabular data.

This package provides the type DataValue that is used to represent missing data.