Interactive data visualizations and plotting in Julia

Update immutable data

Computational geometry in Julia

Delaunay triangulations and Voronoi tessellations in two dimensions.

Calculating contour curves for 2D scalar fields in Julia

Print data in formatted tables.

Unitful coordinate reference systems for geographic maps in Julia

Simple, consistent interfaces for any codec.

Powerful convenience for Julia visualizations and data analysis

Primitives for construction of objects

MPI wrappers for Julia

High performance nearest neighbor data structures (KDTree and BallTree) and algorithms for Julia.

HDF5-compatible file format in pure 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.

Forward Mode Automatic Differentiation for Julia

Forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs

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

Julia implementation of Data structures

In-memory tabular data in Julia

Julia macro for re-exporting one module from another

Julia wrapper for the LLVM C API

Formatted output of timed sections in Julia

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

Julia functional programming infrastructures and metaprogramming facilities

21st century AD

Abstract julia interfaces for working with trees

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.

Basic statistics for Julia

A Julia package to provide C and Python-like formatting support

A simple index type that allows for inverted selections

Colorschemes, colormaps, gradients, and palettes

Fixed point types for julia

Physical quantities with arbitrary units

Immutables as mutables, mutables as immutables.

This is what I wish `Base.@enum` was.

Reduce time-to-first-execution of Julia code

Tools for writing functions that handle many kinds of IO arguments

Library for validated numerics using interval arithmetic

Compatibility across Julia versions

Colorfy Julia objects