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Logo for TBT-Segmentation
@helmholtz.software

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
6
3
Logo for PaN Training Catalogue for the Photon & Neutron Community
@helmholtz.software

PaN Training Catalogue for the Photon & Neutron Community

The PaN Training Catalogue is a fork from the TeSS Training Catalogue (ELIXIR) and was initially developed in our Photon and Neutron (PaN) projects ExPaNDS and PaNOSC.

  • catalogue
  • e-learning
  • metadata
  • + 3
  • Ruby
  • HTML
  • JavaScript
  • + 4
5
3
@helmholtz.software

ULTImodel

A universal transport distribution model written in Python.

  • Transport Distribution
  • transport modelling
  • Python
2
3
Logo for ehrapy
@helmholtz.software

ehrapy

ehrapy is a modular open-source Python framework designed for exploratory end-to-end analysis of heterogeneous epidemiology and electronic health record data.

  • Data analysis
  • open source
  • python
  • Python
0
2
Logo for ELECTRODE
@helmholtz.software

ELECTRODE

ELECTRODE extends the atomistic simulation tool LAMMPS to model different types of electrochemical situations. Simulations are performed at constant potential or constant charge using different approaches to control potential or charge at the electrodes.

  • Constant Potential Method
  • Electrochemistry
  • Molecular Dynamics
  • C++
  • Tcl
  • C
  • + 26
4
2
@helmholtz.software

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++
  • CMake
  • Shell
  • + 3
23
2
Logo for METABOLATOR
@helmholtz.software

METABOLATOR

Analysis of Microcalorimetric Metabolic Data Using Monod's Equation.

  • curve fitting
  • Data Science
  • metabolic load
  • + 1
  • Python
  • HTML
  • Jupyter Notebook
8
2
Logo for PIA
@helmholtz.software

PIA

The PIA Software is a Python analysis software to derive time series data (Level 1) and temperature spectra (Level 2) of INP concentrations from measurements with the PINE (Portable Ice Nucleation Experiment) instrument.

  • Aerosol Research
  • Data analysis
  • INP
  • + 2
  • Python
3
2
Logo for PowerMarketSim
@helmholtz.software

PowerMarketSim

PowerMarketSim is a fundamental model of the European day-ahead market. It links decentralized bidding and market clearing via Lagrangian relaxation and represents cross-zonal constraints through congestion rents, producing realistic price signals and unit schedules.

  • Energy
  • ESD
  • ESD - Topic 2
  • + 2
  • Python
3
2
Logo for quapps
@helmholtz.software

quapps

is a software package containing a collection of exemplary application implementations based on quark.

  • Discrete Optimization
  • Ising Problem
  • Optimization Problem
  • + 3
  • Python
  • Jupyter Notebook
  • Shell
2
2
Logo for SMG2S
@helmholtz.software

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
2
2
Logo for Tigramite
@helmholtz.software

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
1
2