A Julia interface to the CPLEX solver

Plotting graphs with Makie

Web server to run just the `@bind` parts of a Pluto.jl notebook

System Identification toolbox, compatible with ControlSystems.jl

Efficient and type-stable physical quantities in Julia

A solver for mixed-integer convex optimization

The Base interface of the SciML ecosystem

Easy benchmark tracking for packages

Julia wrapper for the LLVM C API

Proximal algorithms for nonsmooth optimization in Julia

Beautiful and flexible vizualizations of high dimensional data

Proximal operators for nonsmooth optimization in Julia

Uniform Manifold Approximation and Projection (UMAP) implementation in Julia

Julia wrapper for the Voyager data exploration tool

A differentiable simulator for scientific machine learning (SciML) with N-body problems, including astrophysical and molecular dynamics

Algorithms from circuit theory to predict connectivity in heterogeneous landscapes

A Julia package for representing banded matrices

Library for finding the roots of a function using interval arithmetic

Technical analysis of financial time series in Julia

A Julia package dedicated to simulating quantum many-body systems using Matrix Product States (MPS)

ODE integration using Taylor's method, and more, in Julia

Multithreaded package for working with tabular data in Julia

Reading and writing of video files in Julia via ffmpeg

Improved thread management for background and nonuniform tasks in Julia. Docs at https://tro3.github.io/ThreadPools.jl

Algorithms and data structures for game theory in Julia

Julia package for simulating Dynamics on Networks

Complex neural network examples for Flux.jl

OpenStreetMap (*.osm) support for Julia 1.0 and up

Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.

Differentiating convex optimization programs w.r.t. program parameters

Themes for the Julia plotting package Plots.jl

Automatic differentiation of implicit functions

A Julia implementation of basic tools for time series analysis compatible with incomplete data.

Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning

Solve non-linear HJB equations.

Arrays which also have a label for each element for easy scientific machine learning (SciML)

Flexible tables with ordered indices

A flexible neural net training library inspired by fast.ai

Add Conda dependencies to your Julia project

Julia interface to gnuplot