All software
Allpix Squared
Allpix Squared is a semiconductor detector simulation framework. The goal of the framework is to provide a complete and easy-to-use package for end-to-end simulations of semiconductor detector performance from incident ionizing radiation until the digitization of hits in the detector chip.
- Drift-Diffusion
- Geant4
- Monte Carlo
- + 5
- C++
- CMake
- C
- + 2
RiboDetector
RiboDetector is designed to rapidly and accurately detect rRNA sequences from metagenomic, metatranscriptomic, and ncRNA sequencing data. It has been optimized for use with both CPUs and GPUs. It outperforms existing software by delivering 10-50x faster runtime and ~10x fewer false classifications.
- Data analysis
- FAIR Data
- Genomics
- + 3
- Python
ESMValCore
- Data analysis
- Earth & Environment
- FAIR Software
- + 2
- Python
- Jupyter Notebook
- HTML
- + 4
BlenderProc
A procedural Blender pipeline for photorealistic training image generation
- Blender
- Dataset creation
- Indoor Scene
- + 4
- Python
- TeX
BornAgain
Software to simulate and fit neutron and x-ray reflectometry and grazing-incidence small-angle scattering. The latter is computed as usual, using the distorted-wave Born approximation, hence the name. Users can set up arbitrary multilayer samples with interface roughness and embedded nanoparticles.
- Data analysis
- Modelling
- Photon and neutron science
- + 1
- C++
- Python
- CMake
- + 2
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
Kadi4Mat
Kadi4Mat is a generic and open source virtual research environment.
- Aeronautics, Space and Transport
- Earth & Environment
- Electronic Lab Notebook
- + 9
- Python
- Vue
- HTML
- + 2
mosaik
mosaik is a co-simulation framework with focus on the energy system. It allows you to reuse and combine existing simulation models and simulators to create large-scale Smart Grid scenarios – and by large-scale we mean thousands of simulated entities distributed over multiple simulator processes.
- Energy
- Multi-scale & multi model simulations
- OpenSource
- + 2
- Python
alpaka
The alpaka library is a header-only C++17 abstraction framework designed for computing accelerator development. It enables developers to implement algorithms once and execute them across a range of platforms, including x86, ARM, and RISC-V CPUs, as well as accelerators from NVIDIA, AMD, and Intel.
- C++
- CPU
- CUDA
- + 7
- C++
- CMake
- Shell
- + 1
Ginkgo
Ginkgo is a high-performance math library for the solution of sparse linear systems on GPUs (AMD, Intel, NVIDIA). Ginkgo is implemented using modern C++ and provides preconditioned Krylov solvers, multigrid, sparse direct solvers, mixed precision, and batched functionality.
- GPU
- High performance computing
- Large linear equation system
- + 4
- C++
- CMake
- Cuda
- + 4
Trixi.jl
Trixi.jl is a numerical simulation framework for conservation laws written in Julia with an extensible design with a fast implementation, Trixi.jl is focused on being easy to use for new or inexperienced users, including the installation and postprocessing procedures.
- CFD
- Earth & Environment
- hpc
- + 3
- Julia
- Jupyter Notebook
- Shell
- + 2
oemof.solph
oemof.solph is a model generator for energy system modelling and optimisation. It facilitates the formulation of (mixed-integer) linear programs from a generic graph-based structure, allowing to create multi-sector models on different levels of detail with user-defined time-resolution.
- Energy
- Energy System Analysis
- ESD
- + 2
- Python