Interactive data visualizations and plotting in Julia

Powerful convenience for Julia visualizations and data analysis

Package to call Python functions from the Julia language

Optimization functions for Julia

A Julia package for probability distributions and associated functions.

Forward Mode Automatic Differentiation for Julia

Statically sized arrays for Julia

Progress meter for long-running computations

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.

Fast, continuous interpolation of discrete datasets in Julia

Plotting for Julia based on matplotlib.pyplot

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

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

Julia bindings to the FFTW library for fast Fourier transforms

Adaptive 1d numerical Gauss–Kronrod integration 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.

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

Advanced Pattern Matching for Julia

Mathematical functions related to statistics.

Main Package for IO, loading all different kind of files

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

Performant arrays where each dimension can have a named axis with values

Lazy code loading for Julia

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

Colorschemes, colormaps, gradients, and palettes

Julia package for lazily representing matrices filled with a single entry