Interactive data visualizations and plotting in Julia

Powerful convenience for Julia visualizations and data analysis

In-memory tabular data in Julia

CUDA programming in Julia.

Forward Mode Automatic Differentiation for Julia

Statically sized arrays for Julia

Progress meter for long-running computations

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.

HDF5-compatible file format in pure Julia

Fast, continuous interpolation of discrete datasets in Julia

A Julia package for evaluating distances (metrics) between vectors.

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

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

Print data in formatted tables.

Save and load data in the HDF5 file format from Julia

MPI wrappers for Julia

Heterogeneous programming in Julia

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

Special mathematical functions in Julia

Root finding functions for Julia

Efficient implementation of struct arrays in Julia

Reusable array functionality for Julia's various GPU backends.

Package for writing high-level code for parallel high-performance stencil computations that can be deployed on both GPUs and CPUs

JSON parsing and printing

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

An interface for tables in Julia

Julia module for reading MATLAB files

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.

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

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

Lazy code loading for Julia