A Julia package for probability distributions and associated functions.

Forward Mode Automatic Differentiation for Julia

Statically sized arrays for Julia

Julia implementation of Data structures

Formatted output of timed sections in Julia

A benchmarking framework for the Julia language

Basic statistics for Julia

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

A data structure for mathematical optimization problems

Special mathematical functions in Julia

Root finding functions for Julia

A Julia Basket of Hand-Picked Krylov Methods

Efficient implementation of struct arrays in Julia

Reusable array functionality for Julia's various GPU backends.

JSON parsing and printing

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

An interface for tables in Julia

Hypothesis tests for Julia

Adaptive 1d numerical Gauss–Kronrod integration in Julia

Julia package for kernel functions for machine learning

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.

Mathematical functions related to statistics.

A combinatorics library for Julia

Reduce time-to-first-execution of Julia code

Lazy code loading for Julia

Julia package for lazily representing matrices filled with a single entry

Update immutable data

Julia macro for re-exporting one module from another

Interior-point solver in pure Julia

Linear Operators for Julia

Compatibility across Julia versions

Julia wrapper for the LLVM C API

Project Preferences Package

Parameterise all the things

Extensions for Julia's docsystem.

Fast parsing machinery for basic types in Julia

Uniform Interface for positive definite matrices of various structures

Julia implementation of associative containers that preserve insertion order

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SparseArrays.jl is a Julia stdlib