All software
LinMOG
LinMOG is a collection of tools for the generation of linear models for univariate and multivariate functions. Furthermore, the linear model can be automatically transformed into a MILP optimization formulation.
- Energy
- ESD
- ESD - Topic 2
- + 3
- Python
METABOLATOR
Analysis of Microcalorimetric Metabolic Data Using Monod's Equation.
- curve fitting
- Data Science
- metabolic load
- + 1
- Python
- HTML
- Jupyter Notebook
PyAPI-RTS
A Python library to read and manipulate RSCAD® draft files, used for power system modeling and simulation on RTDS simulators.
- Energy
- ESD
- Modelling
- + 1
- Python
SMG2S
SMG2S (Sparse Matrix Generator with Given Spectrum) is able to generate large-scale non-Hermitian and non-Symmetric matrices in parallel with the spectral distribution functions or eigenvalues given by users, and the spectrum of generated matrix is the same as the one specified by the users.
- CPU
- High performance computing
- Matrix Computation
- + 1
- C++
- Python
- CMake
- + 1
TBT-Segmentation
Our tool uses Temporal Behavior Trees (TBT), a novel formalism for monitoring specifications, to segment traces provided as CSVs. Developers input a trace, and the tool analyzes it using a TBT to identify which parts of the software worked and which didn’t, aiding in system analysis and debugging.
- CPS
- Formal Specification
- monitoring
- + 2
- Rust
- Python
- Shell
- + 2
Tigramite
Tigramite is a python package for causal inference with a focus on time series data. It allows to efficiently estimate causal graphs from high-dimensional time series datasets (causal discovery) and to use graphs for the estimation and prediction of direct, total, and mediated effects.
- causal inference
- python
- time series analysis
- Jupyter Notebook
- Python
UQTestFuns
A Python3 library of uncertainty quantification (UQ) test functions
- Benchmark
- python
- Software Testing
- + 1
- Python
- TeX
CICMoD - A Climate Index Collection based on Model Data
The software provides a consistent and comprehensive collection of climate indices typically used to describe Earth System dynamics and serves as a new benchmark data set. It allows users to develop new machine learning methods and to compare their results to existing methods in an objective way.
- Earth & Environment
- FAIR Data
- Image processing
- + 1
- Jupyter Notebook
- Python
- Shell
- + 1
dCache
dCache is a system for storing and retrieving huge amounts of scientific data, distributed among a large number of heterogeneous server nodes, under a single virtual filesystem tree with a variety of standard access methods including NFSv4.1 (pNFS), FTP, WebDav and xroot.
- data managment
- FAIR Data
- Java
- JavaScript
- XSLT
- + 14
EnPT
The Environmental Mapping and Analysis Program (EnMAP) is a German hyperspectral satellite mission that aims at monitoring and characterising Earth’s environment on a global scale. EnMAP measures and models key dynamic processes of Earth’s ecosystems by extracting geochemical, biochemical and biophy
- Earth & Environment
- EnMAP
- Hyperspectral
- + 2
- Python
- Makefile
- Shell
hermes
Implementation of the HERMES workflow to automate software publication with rich metadata.
- FAIR Software
- metadata
- python
- Python
Independent Parallel Particle Layer (IPPL)
IPPL is a C++ library to develop performance portable code for fully Eulerian, Lagrangian or hybrid Eulerian-Lagrangian methods. IPPL supports simulations in one to six dimensions, mixed precision, and asynchronous execution in different execution spaces (e.g. CPUs and GPUs).
- Computational Fluid Dynamics
- GPU
- High performance computing
- + 5
- C++
- TeX
- CMake
- + 3