In-memory tabular data in Julia

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

Print data in formatted tables.

Special mathematical functions in Julia

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

An interface for tables in Julia

Julia package for Gaussian quadrature

High accuracy derivatives, estimated via numerical finite differences (formerly FDM.jl)

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.

Specifying, fitting, and evaluating statistical models in Julia

Mathematical functions related to statistics.

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

Reduce time-to-first-execution of Julia code

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

Update immutable data

Julia macro for re-exporting one module from another

Julia package for 1-d and 2-d splines

Colored and styled strings for terminals.

Compatibility across Julia versions

Multivariate polynomials interface

Deprecated. See README. (A Julia package to provide Python-like formatting support)

Port of mustache.js to julia

Project Preferences Package

A Julia framework for implementing FFTs

Fast parsing machinery for basic types in Julia

Extensions for Julia's docsystem.

Statistical bootstrapping library for Julia

Uniform Interface for positive definite matrices of various structures

Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML)

Prime numbers in Julia

Julia implementation of associative containers that preserve insertion order