Simple Traits for Julia

An enhancement to julia piping syntax

Colored and styled strings for terminals.

Julia package of loss functions for machine learning.

Compatibility across Julia versions

Composable Loggers for the Julia Logging StdLib

Julia wrapper for the LLVM C API

Project Preferences Package

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

Themes for the Julia plotting package Plots.jl

Line search methods for optimization and root-finding

Extensions for Julia's docsystem.

Fast parsing machinery for basic types in Julia

Utilities and abstractions for Machine Learning tasks

Uniform Interface for positive definite matrices of various structures

Package for checking function arguments

An API for dispatching on the "scientific" type of data instead of the machine type

Julia implementation of associative containers that preserve insertion order

Lazy in-place transformations of arrays

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SparseArrays.jl is a Julia stdlib

Simple, consistent interfaces for any codec.

`@pack!` and `@unpack` macros

A simple index type that allows for inverted selections

Fixed point types for julia

TAR files: create, list, extract them in pure 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`.

Missing value support for Julia

A Julia package for calculating hypergeometric functions

Utility package for subsetting, resampling, iteration, and partitioning of various types of data sets in Machine Learning

Scratch spaces for all your persistent mutable data needs

Julia math built-ins which return NaN and accumulator functions which ignore NaN

Extra sorting algorithms extending Julia's sorting API

Zlib codecs for TranscodingStreams.jl.

Interface for arithmetics on mutable types in Julia

A performant, 100% native-julia SHA1, SHA2, and SHA3 implementation

Calculating contour curves for 2D scalar fields in Julia