This package was factored out of Plots.jl to allow any other plotting package to use the recipe pipeline. In short, the extremely lightweight RecipesBase.jl package can be depended on by any package to define "recipes": plot specifications of user-defined types, as well as custom plot types. RecipePipeline.jl contains the machinery to translate these recipes to full specifications for a plot.

DimensionalData.jl provides tools and abstractions for working with datasets that have named dimensions, and optionally a lookup index. It provides no-cost abstractions for named indexing, and fast index lookups.

DimensionalData is a pluggable, generalised version of AxisArrays.jl with a cleaner syntax, and additional functionality found in NamedDims.jl. It has similar goals to Python's xarray, and is primarily written for use with spatial data in Rasters.jl.

This package provides an interface to invert functions.

FuzzyCompletions provides fuzzy completions for a Julia runtime session.

This package defines a new operator for composition of morphisms.

This package provides an interface to invert functions in Julia.

This package provides an interface package for StaticArrays.jl.

This package provides a wrapper for the xkbcomp library.

This package provides a wrapper for the libxext library.

This very lightweight package provides primitive functions for construction of objects.

This package provides a wrapper for the libgpg-error library.

This package provides a type stable and efficient wrapper of arbitrary functions.

This package defines an interface for mathematical/statistical densities and objects associated with a density in Julia.

This package provides a functionality to calculate Earth orientation parameters with data retrieved from IERS.

This package provides Julia implementations of the Standard Clausen functions and Glaisher-Clausen functions of integer order for real or complex arguments.

This implements the notation .. for indexing arrays. It's similar to the Python ... in that it means "all of the columns before (or after)".

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 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.

HypertextLiteral is a Julia package for generating HTML, SVG, and other SGML tagged content. It works similar to Julia string interpolation, only that it tracks hypertext escaping needs and provides handy conversions dependent upon context.

This package provides definitions for most of the primary types and functions in StaticArrays.jl. This enables downstream packages to implement new methods on these types without depending on the entirety of StaticArrays.jl.

SnoopCompile observes the Julia compiler, causing it to record the functions and argument types it's compiling. From these lists of methods, you can generate lists of precompile directives that may reduce the latency between loading packages.

This package is an add-on to ColorTypes.jl and provides fast mathematical operations for objects with types such as RGB and Gray. Specifically, with this package both grayscale and RGB colors are treated as if they are points in a normed vector space.

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 calculates approximate derivatives numerically using finite difference.