Back to the stone age!

Create and control multiple Julia processes remotely for distributed computing. Ships as a Julia stdlib.

Lightweight package that provides the low-rank matrix types that are used in LowRankApprox.jl

Pass loop info to LLVM

Reduce time-to-first-execution of Julia code

A Julia package to represent strided views over a parent DenseArray

Makes Julia's package extensions backwards compatible

Counterpart of CUDA_Runtime_jll, but for discovering a local toolkit.

A Julia interface for working with vector like objects

Interface package for StaticArrays.jl

Julia bindings for NVTX, for instrumenting with the Nvidia Nsight Systems profiler

SparseArrays.jl is a Julia stdlib

Julia package with a set of functions to manipulate strings with ANSI escape sequences.

Graph data structures with multiple heterogeneous metadata for Graphs.jl.

An optimized graphs package for the Julia programming language

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Fixed-width string types for Julia

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Graphs with vertices labelled with arbitrary objects

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Utilities for doing multithreaded or distributed work in Julia

Project Preferences Package

Scratch spaces for all your persistent mutable data needs

Array types that can use sentinel values of the element type for special values

Reusable compiler infrastructure for Julia GPU backends.

Heterogeneous programming in Julia

Access `version`, `uuid`, etc. in `Project.toml`

Light-weight expression manipulation tools

Easily and efficiently memoize any function, closure, or callable object in Julia.

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CUDA programming in 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.

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A data-focused namespace for packages to share functions

Julia implementation of Random123.