This package generates formatted output from timings made in different sections of a program.

This package provides string distances in Julia. Distances are defined for AbstractStrings, and any iterator that define length(). The package also defines Distance "modifiers" that can be applied to any distance.

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

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

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.

Astronomical https://www.atnf.csiro.au/people/mcalabre/WCS/ library for Julia. This package wraps the WCSLIB C library.

This package enables the Julia compiler to generate efficient code when running test cases. Test cases are typically run with flags that prevent efficient code generation. This package detects those flags and instead spawns a separate Julia process without the flags in which to run the test cases.

This package provides an interface to invert functions.

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

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

This package implements a variety of interpolation schemes for the Julia language. It has the goals of ease-of-use, broad algorithmic support, and exceptional performance.

This package parses YAML documents into native Julia types and dumps them back into YAML documents.

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

This package is the counterpart of AbstractArray interface, but for GPU array types. It provides functionality and tooling to speed-up development of new GPU array types. This package is not intended for end users; instead, you should use one of the packages that builds on GPUArrays.jl, such as CUDA.jl, oneAPI.jl or AMDGPU.jl.

This package aims to offer a standard set of Geometry types, which easily work with metadata, query frameworks on geometries and different memory layouts. The aim is to create a solid basis for Graphics/Plotting, finite elements analysis, Geo applications, and general geometry manipulations - while offering a Julian API, that still allows performant C-interop.

ExprTools provides tooling for working with Julia expressions during metaprogramming. This package aims to provide light-weight performant tooling without requiring additional package dependencies.

The aim of this package is to provide users with a set of small generic routines useful above all in astronomical and astrophysical context, written in Julia.

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.

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

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 StatsAPI.jl and each package taking a dependency on it.

This package provides primitive differentiation rules that can be composed via various formulations of the chain rule. Using DiffRules, new differentiation rules can defined, query whether or not a given rule exists, and symbolically apply rules to simple Julia expressions.

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

FilePathsBase.jl provides a type based approach to working with filesystem paths in Julia.