Update immutable data

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Package for checking function arguments

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

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Immutables as mutables, mutables as immutables.

Base API optimized for tuples

Bit twiddling convenience functions.

Arrays for working with categorical data (both nominal and ordinal)

C-compatible enum for 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.

Interface for transformation functions in Julia

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Naïve combined subexpression elimination in Julia

Fixing the world one invalidator at a time.

Compatibility across Julia versions

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Primitives for construction of objects

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Ask the CPU for cache sizes, SIMD feature support, a running hypervisor, and more.

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Colored and styled strings for terminals.

A data-focused namespace for packages to share functions

In-memory tabular data in Julia

Julia implementation of Data structures

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A package for reading and writing files with delimited values (Originally a Julia stdlib)

A package which provides an API for querying differentiation results at multiple orders simultaneously

A simple shared suite of common derivative definitions

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

Create and control multiple Julia processes remotely for distributed computing. Ships as a Julia stdlib.

Extensions for Julia's docsystem.

Main Package for IO, loading all different kind of files

Forked Successor to github.com/JuliaFolds/FLoops.jl

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Forward Mode Automatic Differentiation for Julia

Reusable array functionality for Julia's various GPU backends.

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Under some conditions you may need this function