Crafty statistical graphics for Julia.

Optimization functions for Julia

A Julia package for probability distributions and associated functions.

Forward Mode Automatic Differentiation for Julia

Statically sized arrays for Julia

Julia implementation of Data structures

A benchmarking framework for the Julia language

Basic statistics for Julia

Fast, continuous interpolation of discrete datasets in Julia

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

Types with default field values, keyword constructors and (un-)pack macros

A data structure for mathematical optimization problems

Save and load data in the HDF5 file format from Julia

MPI wrappers for Julia

Special mathematical functions in Julia

JSON parsing and printing

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

Julia module for reading MATLAB files

Saving and loading julia variables while preserving native types

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.

Declarative vector graphics

Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support

Mathematical functions related to statistics.

Main Package for IO, loading all different kind of files

A combinatorics library for Julia

Reduce time-to-first-execution of Julia code

Color manipulation utilities for Julia

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

Lazy code loading for Julia

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

Generic numerical linear algebra in Julia

Compatibility across Julia versions

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Project Preferences Package

Arrays for working with categorical data (both nominal and ordinal)