A Julia framework for implementing FFTs

Update immutable data

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Repository for automatic differentiation backend types

Package for parsing command-line arguments to Julia programs.

Tools for writing functions that handle many kinds of IO arguments

The Arnoldi Method with Krylov-Schur restart, natively in Julia.

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

A Julia package for describing array layouts and more general fast linear algebra

A lightweight wrapper around Julia Artifacts

A library of atmospheric profiles

Efficient filtering and linear algebra routines for multidimensional arrays

A Julia package for representing banded matrices

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

Bit twiddling convenience functions.

BlockArrays for Julia

A Julia package for representing block-banded matrices and banded-block-banded matrices

C-compatible enum for Julia

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

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

For CliMA distributed computing

CliMA model dycore

A framework to define and output observables and statistics from CliMA simulations

Contains all universal constant and physical parameters in CLIMA

A CPU- and GPU-friendly package for solving ordinary differential equations

Shared utilities for the CliMA project

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A library of cloud microphysics parameterizations

Zlib codecs for TranscodingStreams.jl.

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

A combinatorics library for Julia

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

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

Naïve combined subexpression elimination in Julia

Fixing the world one invalidator at a time.

Compatibility across Julia versions