Common functional iterator patterns

Calculating contour curves for 2D scalar fields in Julia

Print data in formatted tables.

Automatically update function definitions in a running Julia session

Simple, consistent interfaces for any codec.

Powerful convenience for Julia visualizations and data analysis

Primitives for construction of objects

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.

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

Named dimensions and indexing for julia arrays and other data

Mathematical functions related to statistics.

Abstract julia interfaces for working with trees

Basic statistics for Julia

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

A simple index type that allows for inverted selections

Interpreter for Julia code

Colorschemes, colormaps, gradients, and palettes

Fixed point types for julia

A benchmarking framework for the Julia language

Physical quantities with arbitrary units

Tools for manipulating Julia's lowered code

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.

An optimized graphs package for the Julia programming language

A Julia package for calculating hypergeometric functions

Symbolic modeling in Julia!

Compatibility across Julia versions

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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.

HTTP for Julia

JSON parsing and printing

Progress meter for long-running computations

Adaptive 1d numerical Gauss–Kronrod integration in Julia