Compatibility across Julia versions

Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)

Composable Loggers for the Julia Logging StdLib

Multivariate polynomials interface

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

Julia wrapper for the LLVM C API

The Base interface of the SciML ecosystem

Project Preferences Package

A Julia package for representing banded matrices

A Julia framework for implementing FFTs

Themes for the Julia plotting package Plots.jl

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

Parameterise all the things

Line search methods for optimization and root-finding

Fast parsing machinery for basic types in Julia

Extensions for Julia's docsystem.

Clifford circuits, graph states, and other quantum Stabilizer formalism tools.

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

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An implementation of sum types in Julia

Julia interface to the GNU Scientific Library (GSL)

Functions generated at runtime without world-age issues or overhead

Interval Sets for Julia

Prime numbers in Julia

Random Number Generators for the Julia Language.

Layout algorithms for graphs and trees in pure Julia.

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

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

Fast and differentiable implementations of matrix exponentials, Krylov exponential matrix-vector multiplications ("expmv"), KIOPS, ExpoKit functions, and more. All your exponential needs in SciML form.

Julia implementation of associative containers that preserve insertion order

A Julia Protocol for Geospatial Data

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SparseArrays.jl is a Julia stdlib

This is what I wish `Base.@enum` was.

Simple, consistent interfaces for any codec.

Random matrices package for Julia

Collective tools for metaprogramming on Julia Expr

Cunning tricks though the julia compiler internals