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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
C
+ 2

212

EnrichedHeatmap

Enriched heatmap is a special type of heatmap which visualizes the enrichment of genomic signals on specific target regions. The EnrichedHeatmap package provides advanced solutions for normalizing genomic signals within target regions as well as offering highly customizable visualizations.

Data analysis
Data Visualization
FAIR Data
+ 2

205

CoMOLA

CoMOLA is a python tool for optimal spatial allocation of land uses. The tool creates optimal land-use maps for up to four objectives. It takes into account constraints and can be coupled with external models to evaluate different objectives (e.g. ecosystem services/biodiversity models)

land-use allocation
multi-objective optimization
NSGA-II

Python
R

193

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

190

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

184

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

169

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

164

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

162

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

147

pycomlink

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

precipitation estimation
python
rainfall
+ 2

Jupyter Notebook
Python

145

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

135