This package provides a wrapper for the libglvnd library.

This package provides a wrapper for the cairo library.

This package provides a wrapper for the libxau library.

This package provides a wrapper for the sundials library.

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.

HTTP.jl is a Julia library for HTTP Messages, implementing both a client and a server.

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

This package implements a variety of data structures, including, CircularBuffer, Queue, Stack, Accumulators, LinkedLists, SortedDicts and many others.

This package supports representing block-banded and banded-block-banded matrices by only storing the entries in the non-zero bands. A BlockBandedMatrix is a subtype of BlockMatrix of BlockArrays.jl whose layout of non-zero blocks is banded.

BufferedStreams.jl provides buffering for IO operations. It can wrap any IO type automatically making incremental reading and writing faster.

Graphics.jl is an abstraction layer for graphical operations in Julia.

This package provides a method to ensure that arguments to a function conform to a specification.

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

The package provides a light-weight dependency for defining sensitivities for functions without the need to depend on ChainRules itself.

This package provides a namespace for data-related generic function definitions to solve the optional dependency problem; packages wishing to share and/or extend functions can avoid depending directly on each other by moving the function definition to DataAPI.jl and each package taking a dependency on it.

This package provides definitions for common functions that are useful for symbolic expression manipulation in Julia. Its purpose is to provide a shared interface between various symbolic programming packages, for example SymbolicUtils.jl, Symbolics.jl, and Metatheory.jl.

This package provides a Julia interface to the Matplotlib plotting library from Python, and specifically to the matplotlib.pyplot module. PyPlot uses the Julia PyCall package to call Matplotlib directly from Julia with little or no overhead (arrays are passed without making a copy).

ANSIColoredPrinters.jl converts a text qualified by ANSI escape codes to another format.

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

This repository implements the scratch spaces API for package-specific mutable containers of data. These spaces can contain datasets, text, binaries, or any other kind of data that would be convenient to store in a location specific to your package. As compared to Artifacts, these containers of data are mutable. Because the scratch space location on disk is not very user-friendly, scratch spaces should, in general, not be used for a storing files that the user must interact with through a file browser.

OffsetArrays.jl provides Julia users with arrays that have arbitrary indices, similar to those found in some other programming languages like Fortran.

A block array is a partition of an array into blocks or subarrays. This package has two purposes. Firstly, it defines an interface for an AbstractBlockArray block arrays that can be shared among types representing different types of block arrays. The advantage to this is that it provides a consistent API for block arrays. Secondly, it also implements two different type of block arrays that follow the AbstractBlockArray interface. The type BlockArray stores each block contiguously while the type PseudoBlockArray stores the full matrix contiguously. This means that BlockArray supports fast non copying extraction and insertion of blocks while PseudoBlockArray supports fast access to the full matrix to use in in for example a linear solver.

Gumbo.jl is a Julia wrapper around Google's gumbo library for parsing HTML.

This package provides a function extrapolate that extrapolates a given function f(x) to f(x0), evaluating f only at a geometric sequence of points > x0 (or optionally < x0). The key algorithm is Richardson extrapolation using a Neville–Aitken tableau, which adaptively increases the degree of an extrapolation polynomial until convergence is achieved to a desired tolerance (or convergence stalls due to e.g. floating-point errors). This allows one to obtain f(x0) to high-order accuracy, assuming that f(x0+h) has a Taylor series or some other power series in h.