Update immutable data

Add Conda dependencies to your Julia project

Print data in formatted tables.

Simple, consistent interfaces for any codec.

Primitives for construction of objects

HDF5-compatible file format in pure 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.

Forward Mode Automatic Differentiation for Julia

Julia implementation of Data structures

In-memory tabular data in Julia

Julia macro for re-exporting one module from another

Equality for struct types as you would expect it

Mathematical functions related to statistics.

Basic statistics for Julia

A simple index type that allows for inverted selections

Python and Julia in harmony.

Reduce time-to-first-execution of Julia code

Archive of functions that emulate R's d-p-q-r functions for probability distributions

A Julia package for probability distributions and associated functions.

A Julia package for calculating hypergeometric functions

Simple curve fitting in Julia

Compatibility across Julia versions

A statistics-focused namespace for packages to share functions

Extensions for Julia's docsystem.

Adaptive 1d numerical Gauss–Kronrod integration in Julia

Convenient (but unsafe) pointer access

Julia package for lazily representing matrices filled with a single entry

Statically sized arrays for Julia

An interface for tables in Julia

Convenient input and display of LaTeX equation strings for the Julia language

Main Package for IO, loading all different kind of files

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

Generalized linear models in Julia

Back to the stone age!

Abstract definitions and convenience methods for describing, processing, and constructing Julia objects

Julia implementation of associative containers that preserve insertion order

Colored and styled strings for terminals.

Interface for function inversion in Julia

SparseArrays.jl is a Julia stdlib

Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support