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 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.

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.

This package provides a wrapper for the libxdmcp library.

This package provides a wrapper for the xcb-util library.

The purpose of this package is to provide test problems for JuliaNLSolvers packages.

The SortingAlgorithms package provides three sorting algorithms that can be used with Julia's standard sorting API: heapsort, timsort and radixsort.

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 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.

SplitApplyCombine.jl provides high-level, generic tools for manipulating data - particularly focussing on data in nested containers. An emphasis is placed on ensuring split-apply-combine strategies are easy to apply, and work reliably for arbitrary iterables and in an optimized way with the data structures included in Julia's standard library.

FixedPointNumbers.jl implements fixed-point number types for Julia. A fixed-point number represents a fractional, or non-integral, number. In contrast with the more widely known floating-point numbers, with fixed-point numbers the decimal point doesn't "float": fixed-point numbers are effectively integers that are interpreted as being scaled by a constant factor. Consequently, they have a fixed number of digits (bits) after the decimal (radix) point.

This package provides a wrapper for the libxrandr library.

This package provides a wrapper for the libxfixes library.

This package enables the Markdown / MkDocs backend of Documenter.jl.

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

This package provides a multivariate polynomials implementation of commutative and non-commutative variables.

This package defines functionality to calculate volume element changes for functions that perform a change of variables (like coordinate transformations).

MutableArithmetics is a Julia package which allows:

• mutable types to implement mutable arithmetics

• algorithms that could exploit mutable arithmetics to exploit them while still being completely generic

This package implements OrderedDicts and OrderedSets, which are similar to containers in base Julia. However, during iteration the Ordered* containers return items in the order in which they were added to the collection.

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 package provides a wrapper for the libxkbfile library.

This package provides a wrapper for the libxcursor library.