Forschungszentrum Jülich
MPTRAC
Massive-Parallel Trajectory Calculations (MPTRAC) is a Lagrangian particle dispersion model for the analysis of atmospheric transport processes in the free troposphere and stratosphere.
- Atmospheric science
- Climate
- Earth & Environment
- + 6
- C
- Shell
- HTML
- + 4
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
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
O2A SEQUENCES
O2A SEQUENCES provides a single platform for the full metabarcoding lifecycle: it keeps samples, metadata, and sequences linked, runs containerized workflows that produce provenance-tracked ASV tables, generates submission-ready exports for public archives, and delivers AI-ready outputs.
- bioinformatics
- Data analysis
- data managment
- + 7
ODM2SMS
A tool to migrate sensor metadata from the observation data model to the Helmholtz Sensor Management System via API.
- Earth & Environment
- metadata
- Research Data Management
- + 1
- Python
- PLpgSQL
- Dockerfile
ParFlow
ParFlow is a parallel, integrated hydrology model that simulates spatially distributed surface and subsurface flow.
- Earth System Modelling
- High performance computing
- Hydrology
- + 2
- C
- Tcl
- Python
- + 17
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
- Makefile
- Python
- + 3
PeakPerformance
PeakPerformance is a Python toolbox for estimating peak areas from mass-spectrometry or HPLC datasets under uncertainty. It applies Bayesian inference using the PyMC library to parametric models of peak curves.
- Data analysis
- Earth & Environment
- mass spectrometry
- + 4
- Python
- TeX
PeCon.py
PeCon.py is a Python-Software, that enables the calculation of the ionic and electronic conductivities of Perovskite-type ceramic materials, i.e. the conductivities within oxygen-transport ceramic membranes.
- Energy
- MTET
- open source
- + 1
PedPy
PedPy is a Python library for the analysis of pedestrian movement data.
- pedestrian analysis
- pedestrian dynamics
- research software
- Pascal
- Python
- Jupyter Notebook
- + 1
PEPC
The PEPC project (Pretty Efficient Parallel Coulomb Solver) is a public tree code that has been developed at Jülich Supercomputing Centre since the early 2000s. Our code is a non-recursive version of the Barnes-Hut algorithm, using a level-by-level approach to both tree construction and traversals.
- Barnes-Hut
- High performance computing
- hpc
- + 2
- Fortran Free Form
- C
- Shell
- + 2
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