Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)

Powerful convenience for Julia visualizations and data analysis

Forward Mode Automatic Differentiation for Julia

Statically sized arrays for Julia

Julia implementation of Data structures

HTTP for Julia

A benchmarking framework for the Julia language

Physical quantities with arbitrary units

Basic statistics for Julia

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

A data structure for mathematical optimization 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.

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

Julia package for 1-d and 2-d splines

An enhancement to julia piping syntax

A Julia interface to the Ipopt nonlinear solver

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.

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

A simple shared suite of common derivative definitions

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