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

Atomic graph models for molecules and crystals in Julia

Julia package for solving singular integral equations

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

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

Darcy flow and reservoir simulator based on Jutul.jl

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

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

Julia Kubernetes Client

Choo-choo

Conic Augmented Lagrangian Interior-Point SOlver

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

Use Optim to train Flux models and visualize loss landscapes

Compositional data analysis in Julia

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.

Julia framework for spatial ecology - data types and utilities

Functions to compute omnidirectional landscape connectivity using circuit theory and the Omniscape algorithm.

A high functioning package detective.

Nonlinear optical pulse propagator

Support package for doing Calculus with Julia

A bunch of fast text parsing tools

Economic modeling in Julia

A Julia package for the Fourier analysis of Multivariate Data in the Frequency and Time-Frequency Domain

Plotting and interface tools for biology.

Algorithmic trading and backtesting framework in pure julia

Robust and optimal design and analysis of linear control systems

FMIFlux.jl is a free-to-use software library for the Julia programming language, which offers the ability to place FMUs (fmi-standard.org) everywhere inside of your ML topologies and still keep the resulting model trainable with a standard (or custom) FluxML training process.

Differentiable trajectory optimization in Julia.

Definition of dynamical systems and integrators for DynamicalSystems.jl

Estimators for probabilities, entropies, and other complexity measures derived from data in the context of nonlinear dynamics and complex systems

Boundary Element Analysis and Simulation Toolkit

Makie.jl recipes for visualization of Meshes.jl

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Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks

Tropical tensor network for spin glasses

A Julia package for solving nonlinear differential equations using the harmonic balance method.

Approximate Bayesian Computation (ABC) algorithms for likelihood free inference in julia

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The automatically differentiable and GPU-compatible toolkit for CMB analysis.