Crafty statistical graphics for Julia.

Automatically update function definitions in a running Julia session

A Julia package for probability distributions and associated functions.

Statically sized arrays for Julia

Julia implementation of Data structures

An experimental code analyzer for Julia. No need for additional type annotations.

Basic statistics for Julia

The slow descent into madness

Fast, continuous interpolation of discrete datasets in Julia

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

Print data in formatted tables.

Special mathematical functions in Julia

JSON parsing and printing

Making packages work faster with more extensive precompilation

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

An interface for tables in Julia

Calculus functions in Julia

Declarative vector graphics

Mathematical functions related to statistics.

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.

A Julia frontend, written in Julia

Julia bindings to the FFTW library for fast Fourier transforms

Adaptive 1d numerical Gauss–Kronrod integration in Julia

Main Package for IO, loading all different kind of files

Lazy code loading for Julia

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

Color manipulation utilities for Julia

Abstract julia interfaces for working with trees

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

Kernel density estimators for Julia

Interpreter for Julia code

Julia package for lazily representing matrices filled with a single entry

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Julia macro for re-exporting one module from another

Compatibility across Julia versions

Reduce time-to-first-execution of Julia code

Common functional iterator patterns

A Julia package to provide Python-like formatting support

Colored and styled strings for terminals.

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