A Julia package for probability distributions and associated functions.

Forward Mode Automatic Differentiation for Julia

Statically sized arrays for Julia

Progress meter for long-running computations

Julia implementation of Data structures

A benchmarking framework for the Julia language

Generalized linear models in Julia

Basic statistics for Julia

A Julia package for fitting (statistical) mixed-effects models

A data structure for mathematical optimization problems

Special mathematical functions in Julia

JSON parsing and printing

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

An interface for tables in Julia

Julia package for Gaussian quadrature

An alternative interface for dictionaries in Julia, for improved productivity and performance

Adaptive 1d numerical Gauss–Kronrod integration in Julia

A Julia interface to the NLopt nonlinear-optimization library

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.

Specifying, fitting, and evaluating statistical models in Julia

Mathematical functions related to statistics.

-

Reduce time-to-first-execution of Julia code

Lazy code loading for Julia

Julia package for lazily representing matrices filled with a single entry

Julia macro for re-exporting one module from another

Simple, fast, column-based storage for data analysis in Julia

Split-apply-combine strategies for Julia

Compatibility across Julia versions

Project Preferences Package

A Julia package for representing banded matrices

Fast parsing machinery for basic types in Julia

Extensions for Julia's docsystem.

Uniform Interface for positive definite matrices of various structures

Julia implementation of associative containers that preserve insertion order

-

SparseArrays.jl is a Julia stdlib

Simple, consistent interfaces for any codec.

Abstract definitions and convenience methods for describing, processing, and constructing Julia objects

A simple shared suite of common derivative definitions