Print data in formatted tables.

Simple, consistent interfaces for any codec.

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.

Julia implementation of Data structures

In-memory tabular data in Julia

Julia macro for re-exporting one module from another

Julia wrapper for the LLVM C API

Formatted output of timed sections in Julia

Heterogeneous programming in Julia

Basic statistics for Julia

A simple index type that allows for inverted selections

Fixed point types for julia

Reusable compiler infrastructure for Julia GPU backends.

Reduce time-to-first-execution of Julia code

Compatibility across Julia versions

A statistics-focused namespace for packages to share functions

Utility library for working with CSV and other delimited files in the Julia programming language

Extensions for Julia's docsystem.

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

Pass loop info to LLVM

JSON parsing and printing

Progress meter for long-running computations

Reusable array functionality for Julia's various GPU backends.

Filesystem path types in julia

Package for parsing command-line arguments to Julia programs.

Statically sized arrays for Julia

An interface for tables in Julia

Convenient input and display of LaTeX equation strings for the Julia language

Counterpart of CUDA_Runtime_jll, but for discovering a local toolkit.

A Julia framework for implementing FFTs

Julia implementation for the BFloat16 number type

Julia implementation of associative containers that preserve insertion order

Colored and styled strings for terminals.

Interface for function inversion in Julia

SparseArrays.jl is a Julia stdlib

Color manipulation utilities for Julia

Interface for transformation functions in Julia

A pooled representation for arrays with few unique elements

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