Julia bindings to the FFTW library for fast Fourier transforms

Adaptive 1d numerical Gauss–Kronrod integration in Julia

Julia bindings to Vega-Lite

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.

Specifying, fitting, and evaluating statistical models in Julia

Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support

Mathematical functions related to statistics.

Main Package for IO, loading all different kind of files

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A combinatorics library for Julia

Convenient input and display of LaTeX equation strings for the Julia language

Color manipulation utilities for Julia

Reduce time-to-first-execution of Julia code

Performant arrays where each dimension can have a named axis with values

Fortran-like arrays with arbitrary, zero or negative starting indices.

Lazy code loading for Julia

Colorschemes, colormaps, gradients, and palettes

Julia package for lazily representing matrices filled with a single entry

A fresh approach to coordinate transformations...

Kernel density estimators for Julia

Julia implementations for different rotation parameterizations

Update immutable data

Explicit SIMD vector operations for Julia

Update deeply nested immutable structs.

Julia macro for re-exporting one module from another

Julia package for 1-d and 2-d splines

Simple Traits for Julia

An enhancement to julia piping syntax

Pure-Julia multidimensional h-adaptive integration

Common functional iterator patterns

Colored and styled strings for terminals.

Compatibility across Julia versions

Composable Loggers for the Julia Logging StdLib

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

Project Preferences Package

A Julia package for representing banded matrices

Parse yer YAMLs

A Julia framework for implementing FFTs

Arrays for working with categorical data (both nominal and ordinal)

Themes for the Julia plotting package Plots.jl