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

This Julia package provides several utilities for working with tree-like data structures. Most importantly, it defines the children method that any package that contains such a data structure may import and extend in order to take advantage of any generic tree algorithm in this package.

This package provides the ability to directly call and fully interoperate with Python from the Julia language. You can import arbitrary Python modules from Julia, call Python functions (with automatic conversion of types between Julia and Python), define Python classes from Julia methods, and share large data structures between Julia and Python without copying them.

This package implements real and complex polylogarithms, including the real and complex dilogarithm and trilogarithm in Julia.

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

URIs.jl is a Julia package that allows parsing and working with URIs, as defined in RFC 3986.

This package provides a collection of colorschemes.

This package provides alignment algorithms and data structures for sequence of DNA, RNA, and amino acid sequences.

This package provides support for image resizing, image rotation, and other spatial transformations of arrays.

The package provides a light-weight dependency for defining sensitivities for functions without the need to depend on ChainRules itself.

This package provides a Julia interface to the Matplotlib plotting library from Python, and specifically to the matplotlib.pyplot module. PyPlot uses the Julia PyCall package to call Matplotlib directly from Julia with little or no overhead (arrays are passed without making a copy).

This package is intended as a lightweight foundation for tensor operations across the Julia ecosystem. Currently it exports three operations: hadamard, tensor, and boxdot.

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.

This package provides a Julia wrapper for astronomical library ERFA.

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

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.

FuzzyCompletions provides fuzzy completions for a Julia runtime session.

This package implements handy macros @recipe and @series which will define a custom transformation and attach attributes for user types. Its design is an attempt to simplify and generalize the summary and display of types and data from external packages. With this package it is possible to describe visualization routines that can be used as components in more complex visualizations.

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

This package provides a combinatorics library for Julia, focusing mostly (as of now) on enumerative combinatorics and permutations.

This package provides the IOCapture.capture(f) function, which captures the standard output and standard error, and returns it as a string together with the return value.

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.

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

This minimalistic package serves as the foundation for working with colors in Julia. It defines basic color types and their constructors, and sets up traits and show methods to make them easier to work with.