Interactive data visualizations and plotting in Julia

Basic Geometry Types

Common functional iterator patterns

Print data in formatted tables.

Simple, consistent interfaces for any codec.

Primitives for construction of objects

Combine ingredients for a plot

Local regression, so smooooth!

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

Julia bindings to the FFTW library for fast Fourier transforms

Julia wrapper for the LLVM C API

Mathematical functions related to statistics.

Basic statistics for Julia

A simple index type that allows for inverted selections

Colorschemes, colormaps, gradients, and palettes

Fixed point types for julia

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

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

Extensions for Julia's docsystem.

Adaptive 1d numerical Gauss–Kronrod integration in Julia

Reusable array functionality for Julia's various GPU backends.

Julia package for lazily representing matrices filled with a single entry

Filesystem path types in julia

Generic helper algorithms for building plotting components

Statically sized arrays for Julia

An interface for tables in Julia

A Julia Protocol for Geospatial Data

Fast, continuous interpolation of discrete datasets in Julia

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

Main Package for IO, loading all different kind of files

Generalized linear models in Julia

Back to the stone age!