Powerful convenience for Julia visualizations and data analysis

Package to call Python functions from the Julia language

A fast and modern CAS for a fast and modern language.

Automatically update function definitions in a running Julia session

A Julia package for probability distributions and associated functions.

Forward Mode Automatic Differentiation for Julia

A documentation generator for Julia.

Macro(s) for vectorizing loops.

Statically sized arrays for Julia

Julia implementation of Data structures

HTTP for Julia

An experimental code analyzer for Julia. No need for additional type annotations.

Formatted output of timed sections in Julia

Basic statistics for Julia

A benchmarking framework for the Julia language

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

The slow descent into madness

Expression rewriting and simplification

I was gonna maintain this package, but then I got high

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

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

Special mathematical functions in Julia

Reverse Mode Automatic Differentiation for Julia

JSON parsing and printing

Making packages work faster with more extensive precompilation

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.

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

Reusable array functionality for Julia's various GPU backends.

A Julia Basket of Hand-Picked Krylov Methods

An interface for tables in Julia

Calculus functions in Julia

Julia interface to SymPy via PyCall

Arrays with arbitrarily nested named components.

Mathematical functions related to statistics.

A Julia frontend, written 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.

Adaptive 1d numerical Gauss–Kronrod integration in Julia

A combinatorics library for Julia

Main Package for IO, loading all different kind of files

Lazy code loading for Julia