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.

Error propagation calculator and library for physical measurements. It supports real and complex numbers with uncertainty, arbitrary precision calculations, operations with arrays, and numerical integration.

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

Root finding functions for Julia

JSON parsing and printing

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

Calculus functions in Julia

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

Update immutable data

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

Themes for the Julia plotting package Plots.jl

Fast parsing machinery for basic types in Julia

Extensions for Julia's docsystem.

Collection of fundamental physical constants with uncertainties. It supports arbitrary-precision constants

Julia implementation of associative containers that preserve insertion order

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SparseArrays.jl is a Julia stdlib

Simple, consistent interfaces for any codec.

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

Fixed point types for julia

Basic color definitions and traits

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

Missing value support for Julia

Scratch spaces for all your persistent mutable data needs

Julia math built-ins which return NaN and accumulator functions which ignore NaN

Extra sorting algorithms extending Julia's sorting API