Powerful convenience for Julia visualizations and data analysis

In-memory tabular data in Julia

Package to call Python functions from the Julia language

A Julia package for probability distributions and associated functions.

Julia implementation of Data structures

HTTP for Julia

Physical quantities with arbitrary units

Basic statistics for Julia

Convert julia objects to LaTeX equations, arrays or other environments.

Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/

Utility library for working with CSV and other delimited files in the Julia programming language

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

Print data in formatted tables.

A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)

Plotting for Julia based on GR, a framework for visualisation applications

Julia implementation of Decision Tree (CART) and Random Forest algorithms

Special mathematical functions in Julia

Call R from Julia

JSON parsing and printing

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

An interface for tables in Julia

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.

Main Package for IO, loading all different kind of files

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

Color manipulation utilities for Julia

Reduce time-to-first-execution of Julia code

Abstract julia interfaces for working with trees

Lazy code loading for Julia

Colorschemes, colormaps, gradients, and palettes

A set of functions to support the development of machine learning algorithms

Julia package for lazily representing matrices filled with a single entry

Conda managing Julia binary dependencies

Julia macro for re-exporting one module from another

Julia package for loading many of the data sets available in R

An enhancement to julia piping syntax

Common functional iterator patterns

Colored and styled strings for terminals.