Powerful convenience for Julia visualizations and data analysis

Julia implementation of Data structures

HTTP for Julia

Physical quantities with arbitrary units

Basic statistics for Julia

Convert julia objects to LaTeX equations, arrays or other environments.

Types with default field values, keyword constructors and (un-)pack macros

Plotting for Julia based on GR, a framework for visualisation applications

JSON parsing and printing

MacroTools provides a library of tools for working with Julia code and expressions.

AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any particular AD system.

Convenient input and display of LaTeX equation strings for the Julia language

Color manipulation utilities for Julia

Reduce time-to-first-execution of Julia code

Lazy code loading for Julia

Colorschemes, colormaps, gradients, and palettes

Julia macro for re-exporting one module from another

An enhancement to julia piping syntax

Compatibility across Julia versions

Composable Loggers for the Julia Logging StdLib

Project Preferences Package

Improved thread management for background and nonuniform tasks in Julia. Docs at https://tro3.github.io/ThreadPools.jl

Themes for the Julia plotting package Plots.jl

Fast parsing machinery for basic types in Julia

Extensions for Julia's docsystem.

Julia implementation of associative containers that preserve insertion order

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Lazy in-place transformations of arrays

SparseArrays.jl is a Julia stdlib

Simple, consistent interfaces for any codec.

`@pack!` and `@unpack` macros

TAR files: create, list, extract them in pure Julia

Fixed point types for julia

Basic color definitions and traits

A parallel iterator for large machine learning datasets that don't fit into memory inspired by PyTorch's `DataLoader` class.

Julia package for various special functions based on `log` and `exp`.

Missing value support for Julia

Utility package for subsetting, resampling, iteration, and partitioning of various types of data sets in Machine Learning

Scratch spaces for all your persistent mutable data needs

Extra sorting algorithms extending Julia's sorting API