Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard interface.

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

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

An open source model predictive control package for Julia.

-

Resizeable multi-dimensional arrays for Julia

Flexible and efficient persistent homology computation.

A package for performing Singular Spectrum Analysis (SSA) and time-series decomposition

-

Read R data files from Julia

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

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

Julia package for solving singular integral equations

A General Approach to Seismic Inversion Problems using Automatic Differentiation

Model and solve optimal control problems in Julia

Atomic graph models for molecules and crystals in Julia

Darcy flow and reservoir simulator based on Jutul.jl

Basic numerical integration routines for presampled data.

A package for discrete-time optimal stochastic control

Graph IO functionality for various formats.

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

Conic Augmented Lagrangian Interior-Point SOlver

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

Julia Kubernetes Client

Choo-choo

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

Dithering algorithms in Julia.

A black-box generator for static websites oriented toward academics and personal web-pages

Quantum operator algebra in Julia

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

Distributed Julia arrays using the MPI protocol

Julia backend for Plotly Dash

Functions useful when using Pluto in teaching.

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.

Compositional data analysis in Julia

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

Use Optim to train Flux models and visualize loss landscapes

A high functioning package detective.

Graph data structures with multiple heterogeneous metadata for Graphs.jl.

Julia framework for spatial ecology - data types and utilities