Interactive data visualizations and plotting in Julia

A Julia package for probability distributions and associated functions.

Statically sized arrays for Julia

Julia implementation of Data structures

Generalized linear models in Julia

Basic statistics for Julia

Fast, continuous interpolation of discrete datasets in Julia

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

Special mathematical functions in Julia

Efficient implementation of struct arrays in Julia

Reusable array functionality for Julia's various GPU backends.

An interface for tables in Julia

An alternative interface for dictionaries in Julia, for improved productivity and performance

Julia bindings to the FFTW library for fast Fourier transforms

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.

Specifying, fitting, and evaluating statistical models in Julia

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

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

Kernel density estimators for Julia

Basic Geometry Types

Julia macro for re-exporting one module from another

Common functional iterator patterns

Compatibility across Julia versions

Julia wrapper for the LLVM C API

Project Preferences Package

A Julia framework for implementing FFTs

Extensions for Julia's docsystem.

Uniform Interface for positive definite matrices of various structures

Observable refs

Local regression, so smooooth!

Julia implementation of associative containers that preserve insertion order

A Julia Protocol for Geospatial Data

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