Visualizations and plotting in Julia

Powerful convenience for Julia visualizations and data analysis

In-memory tabular data in Julia

Automatically update function definitions in a running Julia session

A Julia package for probability distributions and associated functions.

Forward Mode Automatic Differentiation for Julia

A documentation generator for Julia.

Statically sized arrays for Julia

Julia implementation of Data structures

Progress meter for long-running computations

HTTP for Julia

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

Generalized linear models in Julia

Basic statistics for Julia

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

The slow descent into madness

Fast, continuous interpolation of discrete datasets in Julia

HDF5-compatible file format in pure Julia

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

Efficient transducers for Julia

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

An optimized graphs package for the Julia programming language

High performance nearest neighbor data structures and algorithms for Julia.

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

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

Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.

Types and utility functions for summarizing Markov chain Monte Carlo simulations

Specifying, fitting, and evaluating statistical models in Julia

Mathematical functions related to statistics.

Named dimensions and indexing for julia arrays and other data

A Julia frontend, written 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.

Julia bindings to the FFTW library for fast Fourier transforms