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

Powerful convenience for Julia visualizations and data analysis

Package to call Python functions from the Julia language

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 Julia package for evaluating distances (metrics) between vectors.

A data structure for mathematical optimization problems

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

Special mathematical functions in Julia

Efficient implementation of struct arrays in Julia

Reusable array functionality for Julia's various GPU backends.

JSON parsing and printing

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

An interface for tables 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

Conda managing Julia binary dependencies

Polyhedral Computation Interface

Basic Geometry Types

Julia macro for re-exporting one module from another

An enhancement to julia piping syntax

Common functional iterator patterns

Generic numerical linear algebra in Julia

Compatibility across Julia versions

Composable Loggers for the Julia Logging StdLib

Julia wrapper for the LLVM C API

Project Preferences Package

Themes for the Julia plotting package Plots.jl

Extensions for Julia's docsystem.

Fast parsing machinery for basic types in Julia