Print data in formatted tables.

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.

Julia implementation of Data structures

In-memory tabular data in Julia

Julia macro for re-exporting one module from another

Mathematical functions related to statistics.

Basic statistics for Julia

A simple index type that allows for inverted selections

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.

Adaptive 1d numerical Gauss–Kronrod integration in Julia

Julia package for lazily representing matrices filled with a single entry

An interface for tables in Julia

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

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

SparseArrays.jl is a Julia stdlib

Interface for transformation functions in Julia

Special mathematical functions in Julia

Specifying, fitting, and evaluating statistical models in Julia

A pooled representation for arrays with few unique elements

Fixed-width string types for Julia

Project Preferences Package

Uniform Interface for positive definite matrices of various structures

Defines additional irrationals

Interface for mathematical/statistical densities in Julia

Fast parsing machinery for basic types in Julia

Array types that can use sentinel values of the element type for special values

Extra sorting algorithms extending Julia's sorting API

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

Missing value support for Julia

An efficient sampler for discrete random variables

Lazy shifted arrays for data analysis in Julia