Powerful convenience for Julia visualizations and data analysis

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

A fast and modern CAS for a fast and modern language.

Automatically update function definitions in a running Julia session

A Julia package for probability distributions and associated functions.

Forward Mode Automatic Differentiation for Julia

Statically sized arrays for Julia

Julia implementation of Data structures

Progress meter for long-running computations

HTTP for Julia

An experimental code analyzer for Julia. No need for additional type annotations.

Formatted output of timed sections in Julia

Basic statistics for Julia

Physical quantities with arbitrary units

Convert julia objects to LaTeX equations, arrays or other environments.

An opinionated code formatter for Julia. Plot twist - the opinion is your own.

The slow descent into madness

Expression rewriting and simplification

I was gonna maintain this package, but then I got high

Types with default field values, keyword constructors and (un-)pack macros

Efficient transducers for Julia

A Julia package for evaluating distances (metrics) between vectors.

Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization

Julia functional programming infrastructures and metaprogramming facilities

An optimized graphs package for the Julia programming language

Plotting for Julia based on GR, a framework for visualisation applications

Special mathematical functions in Julia

JSON parsing and printing

Making packages work faster with more extensive precompilation

Fast sequential, threaded, and distributed for-loops for Julia—fold for humans™

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

Julia solvers for systems of nonlinear equations and mixed complementarity problems

Reusable array functionality for Julia's various GPU backends.

An interface for tables in Julia

Calculus functions in Julia

Heterogeneous programming in Julia

The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems

Mathematical functions related to statistics.

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.

A Julia frontend, written in Julia