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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 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 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 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
Logo for NetworKit
@helmholtz.software

NetworKit

NetworKit is a growing open-source toolkit for large-scale network analysis. Its aim is to provide tools for the analysis of large networks in the size range from thousands to billions of edges. It implements efficient graph algorithms, many of them parallel to utilize multicore architectures.

  • algorithm engineering
  • Graph algorithms
  • Network Analysis
  • C++
  • Cython
  • Python
  • + 9
0
265
Logo for FastSurfer
@helmholtz.software

FastSurfer

FastSurfer is a fast and accurate deep-learning pipeline for the analysis of human brain MRI. FastSurfer provides a fully compatible FreeSurfer alternative for volumetric and surface-based thickness analysis, also supporting sub-mm resolutions, and sub-segmentation of neuroanatomical structures.

  • Data analysis
  • Deep Learning
  • Image processing
  • + 3
  • Python
  • Shell
  • Jupyter Notebook
  • + 1
10
259
Logo for Materials Learning Algorithms
@helmholtz.software

Materials Learning Algorithms

MALA (Materials Learning Algorithms) is a data-driven framework to accelerate electronic structure calculations based on machine learning. Its purpose is to construct neural-network surrogate models for bypassing computationally expensive steps in state-of-the-art density functional simulations.

  • Density functional theory
  • electronic structure
  • machine-learning
  • + 2
  • Python
  • Fortran
  • Shell
  • + 1
28
254
Logo for BridgeDb Java
@research-software-directory.org

BridgeDb Java

Java library for identifier mapping

  • Data
  • persistent identifiers
  • Batchfile
  • CSS
  • HTML
  • + 5
18
237
Logo for ARX - Open Source Data Anonymization Software
nfdi.software

ARX - Open Source Data Anonymization Software

ARX is an open-source tool for anonymizing sensitive personal data. It offers many privacy/risk models, transformation methods, and utility analyses. Used in research, clinical trials, training, and big-data platforms. Scales to large datasets and includes an intuitive cross-platform GUI.

  • anonymization
  • de-identification
  • privacy
  • Java
  • HTML
  • Shell
1
233
Logo for JURASSIC
@helmholtz.software

JURASSIC

The Juelich Rapid Spectral Simulation Code (JURASSIC) is an open source, high performance infrared radiative transfer and retrieval model for atmospheric remote sensing applications.

  • Atmospheric science
  • Climate
  • Earth & Environment
  • + 7
  • C
  • Python
  • Shell
  • + 2
9
231
Logo for SAGECal
@research-software-directory.org

SAGECal

Fast, memory efficient and GPU accelerated radio interferometric calibration program

  • Big data
  • GPU
  • High performance computing
  • C
  • C++
  • CMake
  • + 5
4
218
Logo for NNPDF
@research-software-directory.org

NNPDF

Fitting proton substructure to observation data using neural networks

  • Machine learning
  • PDF
  • C
  • CSS
  • HTML
  • + 5
7
209