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

Plotting graphs with Makie

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

The Base interface of the SciML ecosystem

Julia wrapper for the LLVM C API

Project Preferences Package

A Julia package for representing banded matrices

A Julia framework for implementing FFTs

Improved thread management for background and nonuniform tasks in Julia. Docs at https://tro3.github.io/ThreadPools.jl

Themes for the Julia plotting package Plots.jl

Parameterise all the things

Line search methods for optimization and root-finding

Extensions for Julia's docsystem.

Fast parsing machinery for basic types in Julia

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

Mike's Little Intermediate Representation

Periodic Table for Julians! :fire:

Utilities and abstractions for Machine Learning tasks

Observable refs

Uniform Interface for positive definite matrices of various structures

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Package for checking function arguments

Hyperscript: A lightweight DOM representation for Julia

Functions generated at runtime without world-age issues or overhead

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.

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.

A Julia package to read, write and manipulate macromolecular structures

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.

Collective tools for metaprogramming on Julia Expr

Cunning tricks though the julia compiler internals