Common functional iterator patterns

Calculating contour curves for 2D scalar fields in Julia

Print data in formatted tables.

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

In-memory tabular data in Julia

Julia macro for re-exporting one module from another

Julia bindings to the FFTW library for fast Fourier transforms

Mathematical functions related to statistics.

Abstract julia interfaces for working with trees

Basic statistics for Julia

A data structure for mathematical optimization problems

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

A benchmarking framework for the Julia language

Physical quantities with arbitrary units

Macro(s) for vectorizing loops.

Reduce time-to-first-execution of Julia code

Tools for writing functions that handle many kinds of IO arguments

Archive of functions that emulate R's d-p-q-r functions for probability distributions

A Julia package for probability distributions and associated functions.

A Julia package for calculating hypergeometric functions

A Julia package for disciplined convex programming

Compatibility across Julia versions

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A statistics-focused namespace for packages to share functions

Extensions for Julia's docsystem.

HTTP for Julia

JSON parsing and printing

Adaptive 1d numerical Gauss–Kronrod integration in Julia

Julia package for lazily representing matrices filled with a single entry

Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations