This package provides zlib codecs for TranscodingStreams.jl.

This package provides generic methods and modules used in many of the other BioJulia packages. This package defines IO, exceptions, and other types or methods used by other BioJulia packages.

This is a twin package to ImageCore with functions that are used among many of the packages in JuliaImages. The main purpose of this package is to reduce unnecessary compilation overhead from external dependencies.

This package contains types with default field values, keyword constructors and (un-)pack macros. Keyword functions can be slow in Julia, however, the normal positional constructor is also provided and could be used in performance critical code.

This package provides tools for working with the basic calculus operations of differentiation and integration. The Calculus package produces approximate derivatives by several forms of finite differencing or produces exact derivative using symbolic differentiation. It can also be used to compute definite integrals by different numerical methods.

This package implements a trait-based framework for describing array layouts such as column major, row major, etc. that can be dispatched to appropriate BLAS or optimised Julia linear algebra routines. This supports a much wider class of matrix types than Julia's in-built StridedArray.

This package contains generic helper algorithms for building plotting components.

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.

ArnoldiMethod.jl provides an iterative method to find a few approximate solutions to the eigenvalue problem in standard form with main goals:

• Having a native Julia implementation of the eigs function that performs as well as ARPACK. With native we mean that its implementation should be generic and support any number type. Currently the partialschur function does not depend on LAPACK, and removing the last remnants of direct calls to BLAS is in the pipeline.

• Removing the dependency of the Julia language on ARPACK. This goal was already achieved before the package was stable enough, since ARPACK moved to a separate repository Arpack.jl.

This package defines functions for getting multiple indices out of dictionaries, tuples, etc, extending this ability beyond AbstractArray.

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

This package finds the first occurrence of a byte or set of bytes in a chunk of memory. Think of it like a much faster version of findfirst that only iterates over bytes in memory.

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.

This package provides tools to express a design pattern for dealing with large/ nested structures, as in machine learning and optimisation. For large machine learning models it can be cumbersome or inefficient to work with parameters as one big, flat vector, and structs help in managing complexity; but it is also desirable to easily operate over all parameters at once, e.g. for changing precision or applying an optimiser update step.

This package provides a collection of colorschemes.

This package provides a type stable and efficient wrapper of arbitrary functions.

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

Quaternions are best known for their suitability as representations of 3D rotational orientation. They can also be viewed as an extension of complex numbers.

AstroTime.jl provides a high-precision, time-scale aware, DateTime-like data type which supports all commonly used astronomical time scales.

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

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 small package supports the representation of images as AxisArrays to endow the axes with "meaning," and makes programming with such arrays easy via traits.

This package provides a wide array of functions for dealing with color. This includes conversion between colorspaces, measuring distance between colors, simulating color blindness, parsing colors, and generating color scales for graphics.

This package allows you to reduce the latency of the first execution of Julia code. It is applicable to both package developers and end users in their personal workflows.