Powerful convenience for Julia visualizations and data analysis

In-memory tabular data in Julia

Package to call Python functions from the Julia language

CUDA programming in Julia.

A Julia package for probability distributions and associated functions.

Statically sized arrays for Julia

Julia implementation of Data structures

An optimized graphs package for the Julia programming language

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.

Fast, continuous interpolation of discrete datasets in Julia

A Julia library for efficient tensor computations and tensor network calculations

Plotting for Julia based on matplotlib.pyplot

An optimized graphs package for the Julia programming language

Statistical plotting recipes for Plots.jl

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

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

Print data in formatted tables.

A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)

Heterogeneous programming in Julia

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

A Julia package for data clustering

Special mathematical functions 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.

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.

An interface for tables in Julia

An alternative interface for dictionaries in Julia, for improved productivity and performance

Krylov methods for linear problems, eigenvalues, singular values and matrix functions

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.

Declarative vector graphics

Mathematical functions related to statistics.

A combinatorics library for Julia

Convenient input and display of LaTeX equation strings for the Julia language