Interactive data visualizations and plotting in Julia

Update immutable data

Common functional iterator patterns

Calculating contour curves for 2D scalar fields in Julia

Simple, consistent interfaces for any codec.

Powerful convenience for Julia visualizations and data analysis

Primitives for construction of objects

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

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

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

Julia implementation of Data structures

Julia macro for re-exporting one module from another

Julia bindings to the FFTW library for fast Fourier transforms

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

Optimization functions for Julia

Basic statistics for Julia

A data structure for mathematical optimization problems

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

BlockArrays for Julia

A Julia package to represent semiseparable and almost banded matrices

Colorschemes, colormaps, gradients, and palettes

Fixed point types for julia

A benchmarking framework for the Julia language

Physical quantities with arbitrary units

Reduce time-to-first-execution of Julia code

Tools for writing functions that handle many kinds of IO arguments

A package for representing quasi arrays with continuous indices

A Julia package for calculating hypergeometric functions

Compatibility across Julia versions

-

A statistics-focused namespace for packages to share functions

Utility library for working with CSV and other delimited files in the Julia programming language

Extensions for Julia's docsystem.

Positive-definite "approximations" to matrices

HTTP for Julia

JSON parsing and printing

Progress meter for long-running computations

Adaptive 1d numerical Gauss–Kronrod integration in Julia

Julia package for lazily representing matrices filled with a single entry