A nearest neighbor search library with exact and approximate algorithms

Update immutable data

Print data in formatted tables.

Simple, consistent interfaces for any codec.

Primitives for construction of objects

HDF5-compatible file format in pure 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.

Forward Mode Automatic Differentiation for Julia

Julia implementation of Data structures

In-memory tabular data in Julia

Julia macro for re-exporting one module from another

Julia wrapper for the LLVM C API

Julia functional programming infrastructures and metaprogramming facilities

Mathematical functions related to statistics.

Heterogeneous programming in Julia

Basic statistics for Julia

A simple index type that allows for inverted selections

Immutables as mutables, mutables as immutables.

Macro(s) for vectorizing loops.

Reduce time-to-first-execution of Julia code

Tools for writing functions that handle many kinds of IO arguments

Archive of functions that emulate R's d-p-q-r functions for probability distributions

A Julia package for probability distributions and associated functions.

An optimized graphs package for the Julia programming language

A Julia package for calculating hypergeometric functions

Simple curve fitting in Julia

Compatibility across Julia versions

Julia package of loss functions for machine learning.

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A statistics-focused namespace for packages to share functions

Extensions for Julia's docsystem.

Package for checking function arguments

JSON parsing and printing

Adaptive 1d numerical Gauss–Kronrod integration in Julia

Searching configurations in abstract spaces using stochastic search methods

Reusable array functionality for Julia's various GPU backends.

The cheapest threads you can find!

Julia package for lazily representing matrices filled with a single entry

Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations

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