Python and Julia in harmony.

Julia implementation of Data structures

Basic statistics for Julia

Julia functional programming infrastructures and metaprogramming facilities

Heterogeneous programming in Julia

Reusable array functionality for Julia's various GPU backends.

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

An interface for tables 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.

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Reduce time-to-first-execution of Julia code

Color manipulation utilities for Julia

Neural Network primitives with multiple backends

Lazy code loading for Julia

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

Update immutable data

Update deeply nested immutable structs.

Julia macro for re-exporting one module from another

Simple Traits for Julia

Compatibility across Julia versions

Julia wrapper for the LLVM C API

Project Preferences Package

Add Conda dependencies to your Julia project

Extensions for Julia's docsystem.

Fast parsing machinery for basic types in Julia

Utilities and abstractions for Machine Learning tasks

Package for checking function arguments

Julia implementation of associative containers that preserve insertion order

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Lazy in-place transformations of arrays

SparseArrays.jl is a Julia stdlib

Fixed point types for julia

Abstract definitions and convenience methods for describing, processing, and constructing Julia objects

Basic color definitions and traits

Julia package for various special functions based on `log` and `exp`.

Missing value support for Julia

Scratch spaces for all your persistent mutable data needs

Extra sorting algorithms extending Julia's sorting API

Add virtual padding to the edges of an array

Julia interface for dlpack