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Logo for CADET
@helmholtz.software

CADET

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

  • adsorption
  • chromatography
  • compartment modelling
  • + 4
  • C++
  • CMake
  • C
  • + 5
15
347
Logo for AMUSE
@research-software-directory.org

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.

  • High performance computing
  • Multi-scale & multi model simulations
  • Workflow technologies
  • Assembly
  • C
  • C++
  • + 23
6
341
Logo for matRad
@helmholtz.software

matRad

matRad is a dose calculation and inverse treatment planning toolkit for radiotherapy research and education written in Matlab.

  • Health
  • Medical Physics
  • Particle Therapy
  • + 2
  • MATLAB
  • TeX
  • C++
54
336
Logo for Code for Appscanner: Automatic fingerprinting of smartphone apps from encrypted network traffic
@research-software-directory.org

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

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

  • Mobile Traffic
  • Security
  • Markdown
  • Other
  • Python
1
334
Logo for  Code for FlowPrint: Semi-Supervised Mobile-App Fingerprinting on Encrypted Network Traffic
@research-software-directory.org

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

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

  • Mobile Traffic
  • Security
  • Markdown
  • Other
  • Python
9
334
Logo for Earth System Model Evaluation Tool (ESMValTool)
@helmholtz.software

Earth System Model Evaluation Tool (ESMValTool)

  • climate modelling
  • Data analysis
  • Earth & Environment
  • + 4
  • Python
  • NCL
  • R
  • + 7
89
327
Logo for SeisBench: A toolbox for machine learning in seismology
@helmholtz.software

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.

  • Earth & Environment
  • GPU
  • Helmholtz AI
  • + 4
  • Jupyter Notebook
  • Python
  • C
6
320
Logo for simplifyEnrichment
@helmholtz.software

simplifyEnrichment

A new clustering algorithm, "binary cut", for clustering similarity matrices of functional terms is implemeted in this package. It also provides functions for visualizing, summarizing and comparing the clusterings.

  • Data analysis
  • Data Visualization
  • FAIR Data
  • + 3
  • R
  • CSS
1
310
Logo for openCARP
@helmholtz.software

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.

  • computational cardiology
  • digital twin
  • electrophysiology
  • + 3
  • C++
  • Python
  • CMake
  • + 2
33
304
Logo for AROSICS
@helmholtz.software

AROSICS

AROSICS is an automated and robust open-source image co-registration software for multi-sensor satellite data.

  • Earth & Environment
  • Fourier Shift Theorem
  • Geometric Pre-processing
  • + 8
  • Python
  • Makefile
  • Shell
1
291
Logo for KaHyPar
@helmholtz.software

KaHyPar

KaHyPar is a fast, high-quality, and scalable algorithm for partitioning graphs and hypergraphs with billions of edges. It finds applications in minimizing communication costs for distributed (hyper)graph computations, quantum circuit simulations, storage sharding in databases, and VLSI design.

  • Clustering
  • Data analysis
  • Graphs
  • + 8
    6
    291
    Logo for 4C Multiphysics
    @helmholtz.software

    4C Multiphysics

    4C is a parallel multiphysics research code for simulating solid/fluid mechanics, scalar transport, and chemical reactions. It supports both single-field and coupled systems, offering ready-to-use solutions for a wide range of physical problems.

    • Computational Fluid Dynamics
    • High performance computing
    • Information
    • + 3
    • C++
    • CMake
    • Python
    • + 6
    0
    284