A Julia/JuMP Package for Gas Network Optimization

A Julia interface to the FICO Xpress Optimization suite

An open-source framework written in Julia for global integrated assessment models.

High-performance simulations of the Porous Electrode Theory for Li-ion batteries

Robot Motion Estimate: Tools, Variables, and Factors for SLAM in robotics; also see Caesar.jl.

A package for Gaussian random field generation in Julia

Multistart optimization methods in Julia.

A collection of tools for chemometrics and machine learning written in Julia.

Visualization for Flux.Chain neural networks

Base functionality library for QuantumOptics.jl

Flexible and efficient persistent homology computation.

Groebner bases in (almost) pure Julia

Read R data files from Julia

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

An open source model predictive control package for 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)

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

Rigorous function approximation using Taylor models in Julia

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

A General Approach to Seismic Inversion Problems using Automatic Differentiation

Auto-formatter for Julia

Atomic graph models for molecules and crystals in Julia

A Julia package for solving multi-objective optimization problems

Julia package for solving singular integral equations

Model and solve optimal control problems in Julia

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

A package for discrete-time optimal stochastic control

Darcy flow and reservoir simulator based on Jutul.jl

Utility package for subsetting, resampling, iteration, and partitioning of various types of data sets in Machine Learning

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

Choo-choo

Julia Kubernetes Client

Graph IO functionality for various formats.

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

Conic Augmented Lagrangian Interior-Point SOlver

Implementation of various ensemble Kalman Filter data assimilation methods in Julia

Automated Bayesian model discovery for time series data

Julia backend for Plotly Dash

Dithering algorithms in Julia.