Powerful convenience for Julia visualizations and data analysis

Statically sized arrays for Julia

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.

Iterative algorithms for solving linear systems, eigensystems, and singular value problems

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

Special mathematical functions in Julia

JSON parsing and printing

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

A Julia package for defining and working with linear maps, also known as linear transformations or linear operators acting on vectors. The only requirement for a LinearMap is that it can act on a vector (by multiplication) efficiently.

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

Themes for the Julia plotting package Plots.jl

Extensions for Julia's docsystem.

Fast parsing machinery for basic types in Julia

The Arnoldi Method with Krylov-Schur restart, natively in Julia.

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.

Fixed point types for julia

TAR files: create, list, extract them in pure 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

Extra sorting algorithms extending Julia's sorting API

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