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

Julia wrapper for the LLVM C API

Project Preferences Package

A Julia package for representing banded matrices

Themes for the Julia plotting package Plots.jl

Arrays which also have a label for each element for easy scientific machine learning (SciML)

Line search methods for optimization and root-finding

Fast parsing machinery for basic types in Julia

Extensions for Julia's docsystem.

Tools for building non-allocating pre-cached functions in Julia, allowing for GC-free usage of automatic differentiation in complex codes

Uniform Interface for positive definite matrices of various structures

Functions generated at runtime without world-age issues or overhead

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

Julia implementation of associative containers that preserve insertion order

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SparseArrays.jl is a Julia stdlib

Simple, consistent interfaces for any codec.

Cunning tricks though the julia compiler internals

`@pack!` and `@unpack` macros

TAR files: create, list, extract them in pure Julia

Fixed point types for julia

Basic color definitions and traits

Light-weight expression manipulation tools

A simple shared suite of common derivative definitions

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

Missing value support for Julia

Automatic detection of sparsity in pure Julia functions for sparsity-enabled scientific machine learning (SciML)

Scratch spaces for all your persistent mutable data needs

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

Julia math built-ins which return NaN and accumulator functions which ignore NaN

Extra sorting algorithms extending Julia's sorting API

Static types useful for dispatch and generated functions.

Zlib codecs for TranscodingStreams.jl.

Makes Julia's package extensions backwards compatible

A performant, 100% native-julia SHA1, SHA2, and SHA3 implementation

Calculating contour curves for 2D scalar fields in Julia

SciMLOperators.jl: Matrix-Free Operators for the SciML Scientific Machine Learning Common Interface in Julia

Wrapper around mbedtls

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