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.

Adaptive 1d numerical Gauss–Kronrod integration in Julia

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

JSON parsing and printing

Simple curve fitting in Julia

Special mathematical functions in Julia

A data structure for mathematical optimization problems

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

Basic statistics for Julia

A benchmarking framework for the Julia language

Julia implementation of Data structures

Statically sized arrays for Julia

Forward Mode Automatic Differentiation for Julia

A Julia package for probability distributions and associated functions.

Optimization functions for Julia