All software

DuMux

DuMux - DUNE for Multi-{Phase, Component, Scale, Physics, …} flow and transport in porous media and more. The swiss army knife of porous media research. Open-source simulator in modern C++.

ESMValTool

The Earth System Model eValuation Tool is a community diagnostics and performance metrics tool for the evaluation of Earth System Models that allows for routine comparison of models and observations.

PDAF

PDAF - the Parallel Data Assimilation Framework is one of the most widely used a software frameworks for data assimilation. PDAF provides support for ensemble modeling and fully implemented data assimilation methods to merge models and observational data which let models learn from observations.

XRAYPAC

A software package for modeling x-ray-induced dynamics of matter

CPlantBox

CPlantBox is a functional-structural plant-soil modelling framework. It simulated the 3D architecture of a plant, coupled carbon and water flow within the plant, water flow and solute transport in a 3D dynamic soil, as well as water and nutrient uptake, and rhizodeposition.

CADET

CADET provides hierarchical models, efficient solvers and computational engineering tools for a range of biotechnological processes, including chromatography, filtration, crystallization, and fermentation.

AMUSE

Combine existing numerical codes in an easy to use Python framework. With AMUSE you can simulate objects such as star clusters, proto-planetary disks and galaxies.

Code for Appscanner: Automatic fingerprinting of smartphone apps from encrypted network traffic

Code for Appscanner: Automatic fingerprinting of smartphone apps from encrypted network traffic

Code for FlowPrint: Semi-Supervised Mobile-App Fingerprinting on Encrypted Network Traffic

Code for FlowPrint: Semi-Supervised Mobile-App Fingerprinting on Encrypted Network Traffic

Earth System Model Evaluation Tool (ESMValTool)

SeisBench: A toolbox for machine learning in seismology

SeisBench is an open-source Python toolbox for machine learning in seismology. It brings together the whole machine learning model lifecycle: datasets and benchmarks, models and training pipelines, and efficient implementations for deploying the models in production.

openCARP

openCARP is a multiscale cardiac electrophysiology simulator for in silico experiments ranging from single heart cells and cardiac tissue to organ models up to the body surface ECG.