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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

181

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

175

GAIA

A framework to study the thermo-chemical evolution of rocky and icy bodies (planets, moons, and planetoids) on a global scale in the solar system and beyond.

CFD
Computational Fluid Dynamics
Earth & Environment
+ 4

161

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

153

InteractiveComplexHeatmap

InteractiveComplexHeatmap is an R package that converts static heatmaps produced from ComplexHeatmap package into an interactive Shiny app only with one extra line of code.

Data analysis
Data Science
Data Visualization
+ 3

R
JavaScript
CSS

152

GOLEM

GOLEM is a modelling platform for thermal-hydraulic-mechanical and non-reactive chemical processes in fractured and faulted porous media, based on the MOOSE framework

Earth & Environment
Multiphysics of porous fractured rocks
reservoir behaviour and induced seismicity
+ 1

C++
SWIG
Assembly
+ 5

143

pycomlink

A python toolbox for deriving rainfall information from commercial microwave link (CML) data.

precipitation estimation
python
rainfall
+ 2

Jupyter Notebook
Python

141

Vitruvius

View-based System Development on Consistent Models

Consistency
Model-driven development
Model transformations
+ 1

Java
Xtend

139

GSTools

GSTools is a Python-based software suite for solving a wide range of geostatistical problems. GSTools provides methods for generating different classes of correlated random fields; it can perform kriging, variogram estimation and much more.

covariance-model
geospatial
geostatistics
+ 7

Python
Cython

128

AMIRIS

AMIRIS is the open Agent-based Market model for the Investigation of Renewable and Integrated energy Systems. It aims at enabling scientists to dissect the complex questions arising with respect to future energy markets, their market design, and energy-related policy instruments.

Agent-based Model
electricity
Energy
+ 4

Java
Python
BibTeX

125

BrainPrint

Our BrainPrint tools provide shape descriptors of neuroanatomical structures and require a FreeSurfer or FastSurfer segmentation as a pre-processing step. BrainPrint is based on “ShapeDNA” a spectral shape descriptor.

Data analysis
MRI
open source
+ 1

Python

113

hybridMT

The hybridMT is MATLAB/shell environment software package for the seismic moment tensor inversion in time domain. The package allows to estimate fault plane parameters and the balance between volumetric and non-volumetric strain in the seismic source using different decomposition schemes.

Earth & Environment
moment tensor
seismology

112