An open source model predictive control package for Julia.

Flexible and efficient persistent homology computation.

Calculate rigorously the feasible region for a set of real-valued inequalities with Julia

Read R data files from Julia

Rigorous function approximation using Taylor models in Julia

A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)

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Groebner bases in (almost) pure Julia

A package for discrete-time optimal stochastic control

Julia package for solving singular integral equations

CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.

Delaunay triangulations and Voronoi tessellations in two dimensions.

Pull data from Federal Reserve Economic Data (FRED) directly into Julia

A Julia package for solving multi-objective optimization problems

Model and solve optimal control problems in Julia

A General Approach to Seismic Inversion Problems using Automatic Differentiation

Atomic graph models for molecules and crystals in Julia

Darcy flow and reservoir simulator based on Jutul.jl

Conic Augmented Lagrangian Interior-Point SOlver

Graph IO functionality for various formats.

Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions

MultiJuMP enables the user to easily run multiobjective optimisation problems and generate Pareto fronts.

Choo-choo

GAP packages for Julia integration

Julia Kubernetes Client

Implementation of various ensemble Kalman Filter data assimilation methods in Julia

Julia backend for Plotly Dash

Import, process and interpret geophysical data sets to be used in numerical models.

Automated Bayesian model discovery for time series data

A gradient-based outer approximation solver for convex mixed-integer nonlinear programming (MINLP)

High-level, high-performance, constraint-based reconstruction and analysis in Julia

Macros that simplify working with DataFrames.jl

Advanced testing toolset for the Julia programming language

Quantum operator algebra in Julia

Functions useful when using Pluto in teaching.

Use Optim to train Flux models and visualize loss landscapes

Delay differential equation (DDE) solvers in Julia for the SciML scientific machine learning ecosystem. Covers neutral and retarded delay differential equations, and differential-algebraic equations.

A multi-dimensional, high performance deconvolution framework written in Julia Lang for CPUs and GPUs.

Compositional data analysis in Julia

Entity Component System with julia