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.

The SortingAlgorithms package provides three sorting algorithms that can be used with Julia's standard sorting API: heapsort, timsort and radixsort.

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 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.

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

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.

This package provides a pooled representation of arrays for purposes of compression when there are few unique elements.

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 provides consistent and extensible functional programming infrastructures, and metaprogramming facilities.

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 provides an implementation of shifted arrays for Julia.

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

This package provides Data types and methods for common operations with biological sequences, including DNA, RNA, and amino acid sequences.

This package provides the type DataValue that is used to represent missing data.

Static.jl defines a limited set of statically parameterized types and a common interface that is shared between them.

This package provides number datatypes which store their values in type parameters, making them runtime constants.

This package provides a collection of colorschemes.

This package provides an implementation of an associative container mapping (K,V) pairs via the type IntervalTreeK, V. The type K may be any ordered type.

This package provides support for one-dimensional numerical integration in Julia using adaptive Gauss-Kronrod quadrature. The code was originally part of Base Julia. It supports integration of arbitrary numeric types, including arbitrary precision (BigFloat), and even integration of arbitrary normed vector spaces (e.g. matrix-valued integrands).

This package provides Julia implementation of C-style interface to CFITSIO functions with following features:

• Function names closely mirror the C interface (e.g., fits_open_file()).

• Functions operate on FITSFile, a thin wrapper for fitsfile C struct (FITSFile has concept of "current HDU", as in CFITSIO).

• Wrapper functions do check the return status from CFITSIO and throw an error with the appropriate message.

This package provides SentinelArrayT that wraps an AbstractArray of type T, and accepts a sentinel and value argument.

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.

TableTraits defines a generic interface for tabular data.

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.