All software
PeTrack
PeTrack (Pedestrian Tracking) automatically extracts accurate pedestrian trajectories from video recordings (calibration, recognition, tracking). Individual codes enable personalized trajectories with static information of each participant. With ML techniques also markerless tracking is possible.
- Annotation
- Calibration
- Computer Vision
- + 20
- C++
- Python
- CMake
- + 2
NEST
NEST is a simulator for spiking neuronal networks. A well tested and efficient tool, NEST works on your laptop and also on the world’s largest supercomputers to study behaviour of large networks of neurons.
- Computational neuroscience
- exascale
- Modeling
- + 3
- C++
- Python
- CMake
- + 3
DuMux
DuMux - DUNE for Multi-{Phase, Component, Scale, Physics, …} flow and transport in porous media and more. The swiss army knife of porous media research. Open-source simulator in modern C++.
- Earth and Environmental Sciences
- Engineering
- Finite volume method
- + 9
- C
- C++
- CMake
- + 2
Score-P
Score-P provides insight into massively parallel HPC applications, their communication, synchronization, I/O, and scaling behaviour to pinpoint performance bottlenecks and their causes.
- hpc
- Information
- instrumentation
- + 5
- C
- Fortran Free Form
- M4Sugar
- + 2
KeYmaera X
An aXiomatic Tactical Theorem Prover for Hybrid Systems
- Axiom
- Differential Dynamic Logic
- Hybrid Systems
- + 3
- Scala
- JavaScript
- Wolfram Language
- + 7
PDAF
PDAF - the Parallel Data Assimilation Framework is one of the most widely used a software frameworks for data assimilation. PDAF provides support for ensemble modeling and fully implemented data assimilation methods to merge models and observational data which let models learn from observations.
- Atmospheric science
- data assimilation
- Earth & Environment
- + 9
- Fortran
- Shell
- Makefile
- + 3
XRAYPAC
A software package for modeling x-ray-induced dynamics of matter
- light-matter interaction
- radiation chemistry
- structural imaging
- + 3
- Fortran Free Form
- Python
- C
- + 2
CADET
CADET provides hierarchical models, efficient solvers and computational engineering tools for a range of biotechnological processes, including chromatography, filtration, crystallization, and fermentation.
- adsorption
- chromatography
- compartment modelling
- + 4
- C++
- CMake
- C
- + 5
AMUSE
Combine existing numerical codes in an easy to use Python framework. With AMUSE you can simulate objects such as star clusters, proto-planetary disks and galaxies.
- High performance computing
- Multi-scale & multi model simulations
- Workflow technologies
- Assembly
- C
- C++
- + 23
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
- C
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
- CMake
- + 2
snvec
snvec: Pre-computed Precession-Tilt solutions and C code.
- astronomical solution
- Astrophysics
- obliquity
- + 3
- C