Forward Mode Automatic Differentiation for Julia

A documentation generator for Julia.

Statically sized arrays for Julia

HTTP for Julia

A benchmarking framework for the Julia language

Special mathematical functions in Julia

JSON parsing and printing

MacroTools provides a library of tools for working with Julia code and expressions.

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.

Reduce time-to-first-execution of Julia code

Abstract julia interfaces for working with trees

Lazy code loading for Julia

Take Julia code coverage and memory allocation results, do useful things with them

Julia wrapper around Google's gumbo C library for parsing HTML

Compatibility across Julia versions

Composable Loggers for the Julia Logging StdLib

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

Project Preferences Package

Extensions for Julia's docsystem.

Fast parsing machinery for basic types in Julia

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SparseArrays.jl is a Julia stdlib

Simple, consistent interfaces for any codec.

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

A simple shared suite of common derivative definitions

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

Base library providing vectorization-tools (ie, SIMD) that other libraries are built off of.

Calculate with error-free, faithful, and compensated transforms and extended significands.

Ask the CPU for cache sizes, SIMD feature support, a running hypervisor, and more.

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

Static types useful for dispatch and generated functions.

Zlib codecs for TranscodingStreams.jl.

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

This package contains a macro for converting expressions to use muladd calls and fused-multiply-add (FMA) operations for high-performance in the SciML scientific machine learning ecosystem

Wrapper around mbedtls

Naïve combined subexpression elimination in Julia

Use command-line Git in your Julia packages

A package which provides an API for querying differentiation results at multiple orders simultaneously

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