Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)

Scalable symbolic-numeric set computations in Julia

Julia bindings for the Enzyme automatic differentiator

Matrices with interval coefficients in Julia

Update immutable data

Calculating contour curves for 2D scalar fields in Julia

Simple, consistent interfaces for any codec.

The Base interface of the SciML ecosystem

Powerful convenience for Julia visualizations and data analysis

Primitives for construction of objects

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

SciMLOperators.jl: Matrix-Free Operators for the SciML Scientific Machine Learning Common Interface in Julia

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

Julia implementation of Data structures

A structure interface for SciML to give queryable properties from user data and parameters

Julia macro for re-exporting one module from another

Julia wrapper for the LLVM C API

Formatted output of timed sections in Julia

Julia functional programming infrastructures and metaprogramming facilities

Basic statistics for Julia

A data structure for mathematical optimization problems

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

Repository for automatic differentiation backend types

A Julia package to provide C and Python-like formatting support

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

Computing reachable states of dynamical systems in Julia

Base library for the JuliaReach ecosystem

Colorschemes, colormaps, gradients, and palettes

Fixed point types for julia

Reusable compiler infrastructure for Julia GPU backends.

A benchmarking framework for the Julia language

Physical quantities with arbitrary units

This is what I wish `Base.@enum` was.

Reduce time-to-first-execution of Julia code

Tools for writing functions that handle many kinds of IO arguments

Library for validated numerics using interval arithmetic

An optimized graphs package for the Julia programming language

Set propagation for neural networks in Julia

Systems definitions in Julia