The purpose of this package is to allow Julia function calls to be temporarily overloaded for the purpose of testing.

This package allows multiple FFT packages to co-exist with the same underlying fft(x) and plan_fft(x) interface. It is mainly not intended to be used directly. Instead, developers of packages that implement FFTs (such as FFTW.jl or FastTransforms.jl) extend the types/functions defined in AbstractFFTs.

This package has the purpose to print data in matrices in a human-readable format.

SoftGlobalScope is a package for the Julia language that simplifies the variable scoping rules for code in global scope. It is intended for interactive shells to make it easier to work interactively with Julia, especially for beginners.

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

This package contains generic helper algorithms for building plotting components.

FileIO aims to provide a common framework for detecting file formats and dispatching to appropriate readers/writers. The two core functions in this package are called load and save, and offer high-level support for formatted files (in contrast with Julia's low-level read and write).

Various special functions based on log and exp moved from StatsFuns.jl into a separate package, to minimize dependencies. These functions only use native Julia code, so there is no need to depend on librmath or similar libraries.

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

This package allows programmers to explicitly SIMD-vectorize their Julia code. By exposing SIMD vector types and corresponding operations, the programmer can explicitly vectorize their code. While this does not guarantee that the generated machine code is efficient, it relieves the compiler from determining whether it is legal to vectorize the code, deciding whether it is beneficial to do so, and rearranging the code to synthesize vector instructions.

This package provides support for decoding and encoding texts between multiple character encodings. It is currently based on the iconv interface, and supports all major platforms using GNU libiconv.

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 package provides a set of tools for working with tabular data in Julia. Its design and functionality are similar to those of Pandas from Python or data.frame, data.table and dplyr from R, making it a great general purpose data science tool, especially for those coming to Julia from R or Python.

When visualizing images, it is not uncommon to provide a 2D view of different image sources. For example, comparing multiple images of different sizes, getting a preview of machine learning dataset. This package aims to provide easy-to-use tools for such tasks.

This package provides a Julia wrapper for astronomical library ERFA.

ItemGraphs is a simple wrapper around LightGraphs that enables most common use case for graph-like data structures: with collection of items that are in relations between each other providing the shortest path between two items.

This is a Julia interface to libquadmath, providing a Float128 type corresponding to the IEEE754 binary128 floating point format.

Inflate provides a pure Julia implementation of zlib decompression functionality, with both in- memory and streaming interfaces. This covers decompression of the Deflate algorithm and the Zlib and Gzip wrapper formats, as specified in RFC 1950, RFC 1951, and RFC 1952.

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 defines the BFloat16 data type. The only currently available hardware implementation of this datatype are Google's Cloud TPUs. As such, this package is suitable to evaluate whether using TPUs would cause precision problems for any particular algorithm, even without access to TPU hardware. Note that this package is designed for functionality, not performance, so this package should be used for precision experiments only, not performance experiments.

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.

ImageMetadata is a simple package providing utilities for working with images that have metadata attached. For example, you might want to associate an image with the date on which the picture was taken, or an MRI scan with patient data, or an astronomical image with sky coordinates and information about the detector used to acquire the image.

Jive.jl is a Julia package to help with writing tests.

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