Powerful convenience for Julia visualizations and data analysis

Forward Mode Automatic Differentiation for Julia

Statically sized arrays for Julia

Julia implementation of Data structures

Formatted output of timed sections in Julia

HTTP for Julia

Physical quantities with arbitrary units

Basic statistics for Julia

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

Julia bindings for the Enzyme automatic differentiator

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

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

Filter design, periodograms, window functions, and other digital signal processing functionality

Heterogeneous programming in Julia

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.

Polynomial manipulations in Julia

An interface for tables in Julia

Julia package for Gaussian quadrature

Arrays with arbitrarily nested named components.

Julia bindings to the FFTW library for fast Fourier transforms

Adaptive 1d numerical Gauss–Kronrod integration in Julia

:rocket: Julia package for orthogonal polynomial transforms :snowboarder:

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.

Package for parsing command-line arguments to Julia programs.

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

Reduce time-to-first-execution of Julia code

Color manipulation utilities for Julia

Lazy code loading for Julia

Colorschemes, colormaps, gradients, and palettes

Julia package for lazily representing matrices filled with a single entry

＠memoize macro for Julia

Efficient computations with symmetric and non-symmetric tensors with support for automatic differentiation.

Explicit SIMD vector operations for Julia

Update deeply nested immutable structs.

Julia macro for re-exporting one module from another