A Julia package for probability distributions and associated functions.

Statically sized arrays for Julia

Julia implementation of Data structures

Basic statistics for Julia

Fast, continuous interpolation of discrete datasets in Julia

A Julia package for evaluating distances (metrics) between vectors.

Special mathematical functions in Julia

Efficient implementation of struct arrays in Julia

Reusable array functionality for Julia's various GPU backends.

An interface for tables in Julia

Julia bindings to the FFTW library for fast Fourier transforms

Adaptive 1d numerical Gauss–Kronrod integration 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.

Mathematical functions related to statistics.

Reduce time-to-first-execution of Julia code

Color manipulation utilities for Julia

Abstract julia interfaces for working with trees

Lazy code loading for Julia

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

Julia package for lazily representing matrices filled with a single entry

Kernel density estimators for Julia

Julia macro for re-exporting one module from another

Common functional iterator patterns

Compatibility across Julia versions

Julia wrapper for the LLVM C API

Project Preferences Package

A Julia framework for implementing FFTs

Flexible tables with ordered indices

Extensions for Julia's docsystem.

Fast parsing machinery for basic types in Julia

Observable refs

Uniform Interface for positive definite matrices of various structures

Local regression, so smooooth!

Julia implementation of associative containers that preserve insertion order

-

SparseArrays.jl is a Julia stdlib

A simple index type that allows for inverted selections

Fixed point types for julia

Basic color definitions and traits

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