Update immutable data

Primitives for construction of objects

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.

Forward Mode Automatic Differentiation for Julia

Julia implementation of Data structures

Julia macro for re-exporting one module from another

Mathematical functions related to statistics.

Basic statistics for Julia

Immutables as mutables, mutables as immutables.

Macro(s) for vectorizing loops.

Reduce time-to-first-execution of Julia code

Archive of functions that emulate R's d-p-q-r functions for probability distributions

A Julia package for probability distributions and associated functions.

A Julia package for calculating hypergeometric functions

Compatibility across Julia versions

A statistics-focused namespace for packages to share functions

Extensions for Julia's docsystem.

Package for checking function arguments

Adaptive 1d numerical Gauss–Kronrod integration in Julia

Julia package for lazily representing matrices filled with a single entry

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

Statically sized arrays for Julia

An interface for tables in Julia

Update deeply nested immutable structs.

Interface designs for enforcing static computations in array functions with Julia

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

Efficient transducers for Julia

Back to the stone age!

Julia implementation of associative containers that preserve insertion order

Interface for function inversion in Julia

SparseArrays.jl is a Julia stdlib

Naïve combined subexpression elimination in Julia

Interface for transformation functions in Julia

Fortran-like arrays with arbitrary, zero or negative starting indices.

A simple shared suite of common derivative definitions

Special mathematical functions in Julia

Static types useful for dispatch and generated functions.

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

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

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