Heidelberg University
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
MSS - Mission Support System
For discussion of the possibilites of research flights, the Mission Support System (MSS) was developed. This software helps to review a big amount of metereological and model data by viewing the forecasted parameters of interest along possible regions of a proposed flight path.
- Data Visualization
- Earth & Environment
- Flight Planning
- + 2
- Python
- HTML
- Shell
- + 1
SIMPA - The toolkit for Simulation and Image Processing for Photonics and Acoustics
SIMPA facilitates realistic simulations for optical and acoustic imaging modalities by providing a communication layer between various forward and inverse models. Non-experts can easily create sensible simulations from default parameters and domain experts can set up a highly customisable pipeline.
- acoustic imaging
- open-source
- optical imaging
- + 2
- Python
- MATLAB
- Shell
- + 1
SpatialData framework
SpatialData is an open and interoperable data framework for ingesting, representing, processing and visualizing spatial omics datasets.
- Data Visualization
- FAIR Data
- Multi omics
- + 3
- Python
- Dockerfile