Error propagation calculator and library for physical measurements. It supports real and complex numbers with uncertainty, arbitrary precision calculations, operations with arrays, and numerical integration.

Abstract julia interfaces for working with trees

A Julia package for defining and working with linear maps, also known as linear transformations or linear operators acting on vectors. The only requirement for a LinearMap is that it can act on a vector (by multiplication) efficiently.

Optimization functions for Julia

A library of data interpolation and smoothing functions

Basic statistics for Julia

A data structure for mathematical optimization problems

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

Repository for automatic differentiation backend types

A Julia package to provide C and Python-like formatting support

The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems

BlockArrays for Julia

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A simple index type that allows for inverted selections

Colorschemes, colormaps, gradients, and palettes

Fixed point types for julia

High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.

Reusable compiler infrastructure for Julia GPU backends.

A benchmarking framework for the Julia language

Physical quantities with arbitrary units

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This is what I wish `Base.@enum` was.

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 library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers

Solution of Lyapunov, Sylvester and Riccati matrix equations using Julia

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

Posix-compliant file name pattern matching

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A statistics-focused namespace for packages to share functions

Extensions for Julia's docsystem.

Fast jacobian computation through sparsity exploitation and matrix coloring

Positive-definite "approximations" to matrices

Functions generated at runtime without world-age issues or overhead