Print data in formatted tables.

Simple, consistent interfaces for any codec.

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

A Julia interface to the NLopt nonlinear-optimization library

Julia macro for re-exporting one module from another

Mathematical functions related to statistics.

Optimization functions for Julia

Basic statistics for Julia

A data structure for mathematical optimization problems

A benchmarking framework for the Julia language

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.

Positive-definite "approximations" to matrices

JSON parsing and printing

Progress meter for long-running computations

Adaptive 1d numerical Gauss–Kronrod integration in Julia

Julia package for lazily representing matrices filled with a single entry

Statically sized arrays for Julia

An interface for tables in Julia

Interface for arithmetics on mutable types in Julia

Convenient input and display of LaTeX equation strings for the Julia language

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

Julia package for fitting mixed-effects models with flexible random/repeated covariance structure.

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

Back to the stone age!

Julia implementation of associative containers that preserve insertion order

Colored and styled strings for terminals.

Interface for function inversion in Julia

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

SparseArrays.jl is a Julia stdlib

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

Line search methods for optimization and root-finding

Naïve combined subexpression elimination in Julia