This package provides a Julia wrapper for astronomical library ERFA.

This package provides a display system which enables the user handle multiple input/output devices and decide what media types get displayed where.

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

This package contains the testset from Julia, packaged into a loadable module.

This package provides an interface to line search algorithms implemented in Julia.

A Julia package for evaluating distances(metrics) between vectors. This package also provides optimized functions to compute column-wise and pairwise distances, which are often substantially faster than a straightforward loop implementation.

MbedTLS.jl provides a wrapper around the mbed TLS and cryptography C library for Julia.

ImageCore is the lowest-level component of the system of packages designed to support image processing and computer vision.

This package allows you to query the availability of specific CPU features with low run-time cost.

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

This package lazily represents matrices filled with a single entry, as well as identity matrices. This package exports the following types: Eye, Fill, Ones, Zeros, Trues and Falses.

StatsBase.jl is a Julia package that provides basic support for statistics. Particularly, it implements a variety of statistics-related functions, such as scalar statistics, high-order moment computation, counting, ranking, covariances, sampling, and empirical density estimation.

PDMats.jl supports efficient computation on positive definite matrices of various structures. In particular, it provides uniform interfaces to use positive definite matrices of various structures for writing generic algorithms, while ensuring that the most efficient implementation is used in actual computation.

This package intends to provide a simple RNG with stable streams, suitable for tests in packages which need reproducible streams of random numbers across Julia versions. Indeed, the Julia RNGs provided by default are documented to have non-stable streams (which for example enables some performance improvements).

This package provides zlib codecs for TranscodingStreams.jl.

This package provides a Julia interface defining a collection of types (without instances) for implementing conventions about the scientific interpretation of data. This package makes a distinction between the machine type and the scientific type of a Julia object. A machine type refers to the Julia type being used to represent the object, for instance Float64. The scientific type refers to how the object should be interpreted, for instance Continuous or Multiclass3.

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

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

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.

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

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.

This package provides an interface for manipulating multivariate polynomials. Implementing algorithms on polynomials using this interface will allow the algorithm to work for all polynomials implementing this interface. The interface contains functions for accessing the coefficients, monomials, defining arithmetic operations on them, rational functions, division with remainder, calculus and differentiation, and evaluation and substitution.

Implementations of basic math functions which return NaN instead of throwing a DomainError.

This package provides a C-compatible enum for Julia.