A Julia package for probability distributions and associated functions.

Statically sized arrays for Julia

Julia implementation of Data structures

Basic statistics for Julia

Special mathematical functions in Julia

Root finding functions for Julia

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

Provide insights about latency (TTFX) for Julia packages

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.

Mathematical functions related to statistics.

Main Package for IO, loading all different kind of files

Reduce time-to-first-execution of Julia code

Color manipulation utilities for Julia

Abstract julia interfaces for working with trees

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

Compatibility across Julia versions

Project Preferences Package

Parse yer YAMLs

Extensions for Julia's docsystem.

Uniform Interface for positive definite matrices of various structures

Julia implementation of associative containers that preserve insertion order

SparseArrays.jl is a Julia stdlib

Fixed point types for julia

Basic color definitions and traits

Julia package for various special functions based on `log` and `exp`.

Missing value support for Julia

A Julia package for calculating hypergeometric functions

Extra sorting algorithms extending Julia's sorting API

Analysis of profiling data using trees

String encoding conversion in Julia using iconv

Primitives for construction of objects

A data-focused namespace for packages to share functions

Elliptic integral and Jacobi elliptic special functions

Interface for function inversion in Julia

Julia implementation of indexed or "lookup" arrays

A common solve function for scientific machine learning (SciML) and beyond