Powerful convenience for Julia visualizations and data analysis

In-memory tabular data in Julia

CUDA programming in Julia.

Optimization functions for Julia

Forward Mode Automatic Differentiation for Julia

Statically sized arrays for Julia

Progress meter for long-running computations

Julia implementation of Data structures

Formatted output of timed sections in Julia

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.

Fast, continuous interpolation of discrete datasets in Julia

A Julia library for efficient tensor computations and tensor network calculations

Density-functional toolkit

Types with default field values, keyword constructors and (un-)pack macros

Print data in formatted tables.

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

A data structure for mathematical optimization problems

MPI wrappers for Julia

Heterogeneous programming in Julia

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

Special mathematical functions in Julia

Root finding functions for 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.

Polynomial manipulations in Julia

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.

An interface for tables in Julia

Arrays with arbitrarily nested named components.

An alternative interface for dictionaries in Julia, for improved productivity and performance

Krylov methods for linear problems, eigenvalues, singular values and matrix functions

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.

Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support

Convenient input and display of LaTeX equation strings for the Julia language

Color manipulation utilities for Julia