Unicode-based scientific plotting for working in the terminal

Forward Mode Automatic Differentiation for Julia

Statically sized arrays for Julia

Macro(s) for vectorizing loops.

Julia implementation of Data structures

A benchmarking framework for the Julia language

Basic statistics for Julia

Fast, continuous interpolation of discrete datasets in Julia

Save and load data in the HDF5 file format from Julia

MPI wrappers for Julia

Special mathematical functions in Julia

JSON parsing and printing

MacroTools provides a library of tools for working with Julia code and expressions.

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.

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

Julia macro for re-exporting one module from another

Julia package for writing VTK XML files

Colored and styled strings for terminals.

Finite Element tools in Julia

Compatibility across Julia versions

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

Project Preferences Package

Extensions for Julia's docsystem.

Fast parsing machinery for basic types in Julia

Uniform Interface for positive definite matrices of various structures

Julia implementation of associative containers that preserve insertion order

A light-weight Julia package for XML based on libxml2.

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SparseArrays.jl is a Julia stdlib

Simple, consistent interfaces for any codec.

`@pack!` and `@unpack` macros

Fixed point types for julia

Basic color definitions and traits

A simple shared suite of common derivative definitions

Julia package for various special functions based on `log` and `exp`.