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

In-memory tabular data in Julia

CUDA programming in Julia.

Forward Mode Automatic Differentiation for Julia

Statically sized arrays for Julia

Macro(s) for vectorizing loops.

Progress meter for long-running computations

Julia implementation of Data structures

Formatted output of timed sections in Julia

A benchmarking framework for the Julia language

Basic statistics for Julia

An optimized graphs package for the Julia programming language

Print data in formatted tables.

A data structure for mathematical optimization problems

Heterogeneous programming in Julia

Special mathematical functions 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

Julia bindings to the FFTW library for fast Fourier transforms

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

Fortran-like arrays with arbitrary, zero or negative starting indices.

Lazy code loading for Julia

Julia macro for re-exporting one module from another

Reusable compiler infrastructure for Julia GPU backends.

Simple Traits for Julia

Colored and styled strings for terminals.

Compatibility across Julia versions

Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations

Julia wrapper for the LLVM C API

Project Preferences Package

A Julia framework for implementing FFTs

Fast parsing machinery for basic types in Julia

Extensions for Julia's docsystem.

Julia implementations of multidimensional array convolution and nonlinear stencil operations

Random Number Generators for the Julia Language.