Update immutable data

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Repository for automatic differentiation backend types

Tools for writing functions that handle many kinds of IO arguments

The Arnoldi Method with Krylov-Schur restart, natively in Julia.

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

A Julia package for describing array layouts and more general fast linear algebra

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A Julia package for representing banded matrices

BitFlag.jl provides an Enum-like type for bit flag option values.

Bit twiddling convenience functions.

BlockArrays for Julia

A Julia package for representing block-banded matrices and banded-block-banded matrices

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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Zlib codecs for TranscodingStreams.jl.

Color manipulation utilities for Julia

Colorschemes, colormaps, gradients, and palettes

Basic color definitions and traits

Treat colors as if they are n-vectors for the purposes of arithmetic

A common solve function for scientific machine learning (SciML) and beyond

Naïve combined subexpression elimination in Julia

Fixing the world one invalidator at a time.

Compatibility across Julia versions

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Utilities for doing multithreaded or distributed work in Julia

Primitives for construction of objects

Calculating contour curves for 2D scalar fields in Julia

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

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A data-focused namespace for packages to share functions

Julia implementation of Data structures

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

The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems

A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers

An interface to various automatic differentiation backends in Julia.