All software
SMP decision tree
SMP decision tree is a questionnaire for creating a Software Management Plan (SMP).
- metadata
- Project management
- software sustainability
- Python
- Shell
SOCYVIA
Scientific experimentation environment for computational social science, connecting study design, experimental content, participant experience, behavioral data, analysis, and reproducible research workflows.
- Arabic research software
- behavioral data
- behavioral research
- + 12
- C#
- CSS
- HTML
- + 4
STEMMUS_SCOPE
Integrated code of SCOPE and STEMMUS
- Dockerfile
- Jupyter Notebook
- MATLAB
- + 2
STIR
A software package for tomographic image reconstruction. Primarily used for PET and SPECT.
- Imaging and Image Processing
- Assembly
- Batchfile
- C
- + 10
Stroll
Semantic Role labeling for Dutch. Understanding who does what, where, to whom.
- Text analysis & natural language processing
- Python
- Shell
Structure from Motion
Construct 3D pointclouds from a set of 2D images
- Dockerfile
- Java
- MATLAB
- + 2
sv-gen
Highly portable parallel workflow to generate artificial genomes with structural variants.
- Big data
- High performance computing
- Workflow technologies
- Python
- Shell
SynBio Studio
Open-source (AGPL-3.0) IDE to design, simulate (deterministic and stochastic) and document genetic circuits.
- bioinformatics
- genetic circuit design
- genetic circuits
- + 6
- Batchfile
- CSS
- Dockerfile
- + 8
Tissue Simulation Toolkit
Tissue Simulation Toolkit (TST) 2.0 is an efficient C++ library for two-dimensional simulations of Glazier and Graner's Cellular Potts model (Glazier and Graner, 1993). It is suitable for simulations with live visualization as well as batch simulations on clusters.
- Cellular Potts Model
- Chemotaxis
- Embryology
- + 1
- C
- C++
- Cuda
- + 6
TOPAS
The TOPAS toolkit aims to provide an intuitive Monte Carlo framework for medical physicists and researchers in related fields
- Treatment Planning and dosimetry
- C++
- CMake
- Python
- + 1
Trixi.jl
Adaptive high-order numerical simulations of hyperbolic PDEs in Julia
- Gnuplot
- Julia
- Jupyter Notebook
- + 2
UNSAT3D
Soil health is essential for infrastructure and plant growth. The UNSAT project aims to improve 3D soil image processing using machine learning and high-fidelity simulation data to study water transport and root-soil interactions during maize growth.
- Data Analysis
- Machine learning
- Python
- Shell