All software
JURASSIC
The Juelich Rapid Spectral Simulation Code (JURASSIC) is a fast infrared radiative transfer model for the analysis of atmospheric remote sensing measurements.
- Atmospheric science
- Climate
- Earth & Environment
- + 5
- C
- Shell
- Makefile
- + 1
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
- R
- CSS
- C++
Spex
Spex is a computer code based on many-body perturbation theory and is part of the FLEUR code family. It uses the full-potential linearized augmented plane-wave method (FLAPW), which provides an accurate basis set for all kinds of materials including transition metals, oxides, and f-electron systems.
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
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
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
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
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
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
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
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
pycomlink
A python toolbox for deriving rainfall information from commercial microwave link (CML) data.
- precipitation estimation
- python
- rainfall
- + 2
- Python