A Julia framework for implementing FFTs

Abstract julia interfaces for working with trees

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AdaptivePredicates.jl: Port of Shewchuk's robust predicates into Julia.

An efficient sampler for discrete random variables

A high level API for GDAL - Geospatial Data Abstraction Library

Tools for writing functions that handle many kinds of IO arguments

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

Bessel functions for real arguments and orders

BitFlag.jl provides an Enum-like type for bit flag option values.

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

C-compatible enum for Julia

Julia library for decoding time units conforming to the Climate and Forecasting (CF) netCDF conventions.

Forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs

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.

Interface for transformation functions in Julia

Multi-dimensional arrays with fixed size and circular indexing.

Zlib codecs for TranscodingStreams.jl.

Colorfy Julia objects

Color manipulation utilities for Julia

Colorschemes, colormaps, gradients, and palettes

Basic color definitions and traits

Treat colors as if they are n-vectors for the purposes of arithmetic

Column selectors for tables

CommonDataModel.jl is a module that defines types common to NetCDF and GRIB data

Naïve combined subexpression elimination in Julia

Compatibility across Julia versions

Utilities for doing multithreaded or distributed work in Julia

Primitives for construction of objects

Calculating contour curves for 2D scalar fields in Julia

Unitful coordinate reference systems for geographic maps in Julia

Colored and styled strings for terminals.

Utility library for working with CSV and other delimited files in the Julia programming language

A data-focused namespace for packages to share functions

In-memory tabular data in Julia

Traits for data science

Julia implementation of Data structures

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Read and write DBF (dBase) tabular data in Julia

Delaunay triangulations and Voronoi tessellations in two dimensions.