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

Bit twiddling convenience functions.

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

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

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

Forward Mode Automatic Differentiation for Julia

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Under some conditions you may need this function

Fixed-width string types for Julia

Algorithms for computing intersection using sorted lists of integers as sets

Interface for function inversion in Julia

A simple index type that allows for inverted selections

Defines additional irrationals

Traits for julia iterators

HDF5-compatible file format in pure Julia

A library gathering diverse algorithms for clustering, similarity search, prototype selection, and data encoding based on k-cluster algorithms.

Convenient input and display of LaTeX equation strings for the Julia language

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Abstractions for Julia Machine Learning Packages

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

Macro(s) for vectorizing loops.