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

This package implements image show methods suitable for graphical platforms such as IJulia. It is intended to provide convenient inline presentation of greyscale or color images.

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

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

This package provides Julia implementation for reading and writing FITS files, based on the cfitsio library.

This package provides some common helper functions that make it easier to implement various Base.show functions for types that participate in the TableTraits.jl ecosystem.

This package provides a lightweight interface for Quantum Physics related packages.

BSON.jl is a Julia package for working with the Binary JSON serialisation format. It can be used as a general store for Julia data structures.

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.

This minimalistic package serves as the foundation for other SIMD packages in Julia.

Configurations.jl provides a macro @option to let you define structs to represent options/configurations, and serialize between different option/configuration file formats such as TOML.

This package provides a C-compatible enum for Julia.

JSON.jl is a pure Julia module which supports parsing and printing JSON documents.

TypedTables.jl provides two column-based storage containers: Table and FlexTable, both of which represent an array of NamedTuples. This package is designed to be lightweight, easy-to-use and fast, and presents a very minimal new interface to learn.

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.

This package provides a parser for Julia code.

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

The Preferences package provides an integrated way for packages to store configuration switches to persistent TOML files, and use those pieces of information at both run time and compile time in Julia. This enables the user to modify the behavior of a package, and have that choice reflected in everything from run time algorithm choice to code generation at compile time.

Optim.jl is a package for univariate and multivariate optimization of functions.

This package provides the DiffResult type, which can be passed to in-place differentiation methods instead of an output buffer.

This package provides a fast, extensible progress bar for Julia. This can help users track the progress of long-running tasks.

This package is designed to help in testing ChainRulesCore.frule and ChainRulesCore.rrule methods. The main entry points are ChainRulesTestUtils.frule_test, ChainRulesTestUtils.rrule_test, and ChainRulesTestUtils.test_scalar. Currently this is done via testing the rules against numerical differentiation (using FiniteDifferences.jl).

ChainRulesTestUtils.jl is separated from ChainRulesCore.jl so that it can be a test-only dependency, allowing it to have potentially heavy dependencies, while keeping ChainRulesCore.jl as light-weight as possible.

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

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