Forschungszentrum Jülich
COMANDO
COMANDO is a next generation modeling framework for Component-Oriented Modeling and optimizAtion for Nonlinear Design and Operation of integrated energy systems.
- Energy
- ESD
- ESD - Topic 2
- Python
CPlantBox
CPlantBox is a functional-structural plant-soil modelling framework. It simulated the 3D architecture of a plant, coupled carbon and water flow within the plant, water flow and solute transport in a 3D dynamic soil, as well as water and nutrient uptake, and rhizodeposition.
- C++
- FSPM
- functional-structural soil-plant model
- + 2
- Python
- C++
- CMake
- + 3
CubeGUI
Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource.
- High performance computing
- Information
- Performance Analysis
- + 4
CubeLib
Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource.
- High performance computing
- Information
- Performance Analysis
- + 4
CubeW
Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource.
- High performance computing
- Information
- Performance Analysis
- + 4
DataDesc
The framework surrounding DataDesc, a metadata schema for software documentation with focus on interfaces, comes with a machine-actionable metadata exchange format and a software toolkit supporting the documentation, extraction and publication of software metadata.
- data managment
- ESD
- FAIR Data
- + 4
- Python
- Shell
- Jupyter Notebook
DataLad
DataLad is a tool for the joint management of code, data, and their relationship, built on top of the version control systems Git & git-annex. It adapts principles of open-source software development & distribution to address challenges of data management, data sharing, & digital provenance capture.
- DataLad
- data managment
- data sharing
- + 8
- Python
- Shell
- Makefile
- + 4
DataLad Container extension
This DataLad extension package equips DataLad's run/rerun functionality with the ability to transparently execute commands in containerized computational environments. On re-run, DataLad will automatically obtain any required container at the correct version prior execution.
- DataLad
- data managment
- Workflow Execution
- Python
- Shell
- Makefile
- + 2
DataLad NEXT extension
This DataLad extension is a staging area for add-ons, for performance upgrades, and user experience improvements. Unlike other topical extensions, the focus is on functionality with broad applicability.
- data distribution
- DataLad
- data management
- Python
- Shell
- Batchfile
- + 2
datasalad
A Python library for working with data in the vicinity of Git and git-annex. A focus is efficient communication with subprocesses, which read and produce data in some format.
- DataLad
- git
- git-annex
- + 1
- Python
- Jinja
- Batchfile
dirschema
A directory structure and metadata linter based on JSON Schema.
- json-schema
- metadata
- validation
- Python
DL4PuDe
DL4PuDe is an AI-based framework that automatically detects pushing behavior in crowd videos, leading to a better understanding of pushing dynamics. This knowledge is crucial for better crowd management strategies and better design of public places, making public places more comfortable and safer.
- Artificial Intelligence
- Crowd Management
- Deep Learning
- + 3
- Jupyter Notebook
- Python
- Cuda
- + 2