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Logo for ILTpy
@helmholtz.software

ILTpy

ILTpy is a python library for performing regularized inversion of one-dimensional or multi-dimensional data without non-negativity constraint. Primary applications include magnetic resonance (NMR, EPR), and electrochemical impedance spectroscopy (distribution of relaxation times; DRT).

  • Distribution of Relaxation times
  • DRT
  • EPR
  • + 7
  • Python
  • HTML
4
40
@helmholtz.software

kramersmoyal

The Python package `kramersmoyal` provides functions to analyze stochastic drift-diffusion and discontinuous stochastic processes in observational and experimental data.

  • Data analysis
  • Drift-Diffusion
  • Energy
  • + 5
  • Python
  • TeX
2
39
Logo for LYNX
@helmholtz.software

LYNX

LYNX (Lithosphere dYnamics Numerical toolboX) is a novel numerical simulator for modelling thermo-poromechanical coupled processes driving the deformation dynamics of the lithosphere.

  • damage rheology and porosity feedback
  • Earth & Environment
  • Explicit visco-elasto-plastic rheology
  • + 1
  • C++
  • Assembly
  • Makefile
  • + 4
2
39
Logo for MSS - Mission Support System
@helmholtz.software

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
7
34
Logo for Julearn
@helmholtz.software

Julearn

Julearn aims to provide an easy-to-use but flexible interface to build predictive models with cross-validation (CV) consistent performance estimates. It poses as a solution accessible to domain experts without extensive ML training, enabling them to quickly fit and evaluate ML algorithms.

  • Machine learning
  • Neuroimaging
  • python
  • Python
6
32
Logo for Heat
@helmholtz.software

Heat

Heat is a flexible and seamless open-source software for high performance data analytics and machine learning. It provides highly optimized algorithms and data structures for tensor computations using CPUs, GPUs and distributed cluster systems on top of MPI.

  • CPU
  • Data analysis
  • Earth & Environment
  • + 5
  • Python
  • Shell
  • Dockerfile
11
31
Logo for Cheetah
@helmholtz.software

Cheetah

Fast and differentiable particle accelerator optics simulation for reinforcement learning and optimisation applications.

  • Automatic Differentiation
  • Differentiable Programming
  • Differentiable Simulation
  • + 7
  • Python
11
30
Logo for SaQC
@helmholtz.software

SaQC

A consistent, extensible, easy-to-use tool/framework for reproducible quality control of time series data.

  • Data analysis
  • Earth & Environment
  • Quality control
  • + 1
  • Python
10
30
Logo for cppTango
@helmholtz.software

cppTango

Tango Distributed Control System - C++ library TANGO is an object-oriented distributed control system. In TANGO all objects are representations of devices, which can be on the same computer or distributed over a network. Communication between devices can be synchronous, asynchronous or event driven.

  • C++
  • DCS - Distributed Control System
  • SCADA - Supervisory Control and Data Acquisition
  • C++
  • CMake
  • Python
  • + 2
1
29
Logo for Automating Requirements and Documentation Comprehension (ARDoCo)
@helmholtz.software

Automating Requirements and Documentation Comprehension (ARDoCo)

Automating Requirements and Documentation Comprehension (ARDoCo) is a framework to connect architecture documentation, requirements, and models while identifying missing or deviating elements (inconsistencies). An element can be any representable item of the model like a software component.

  • Consistency
  • Documentation
  • Inconsistency Detection
  • + 6
  • Java
  • ANTLR
  • Markdown
  • + 3
5
27
Logo for LiberTEM
@helmholtz.software

LiberTEM

LiberTEM is an open source platform for high-throughput distributed processing of large-scale binary data sets and live data streams using a stream-based programming model. The current focus is pixelated scanning transmission electron microscopy (4DSTEM) and scanning electron beam diffraction data.

  • 4D STEM
  • electron microscopy
  • high-throughput
  • + 3
  • Python
  • TypeScript
  • JavaScript
  • + 6
23
27
@helmholtz.software

venco.py

A tool to derive battery electric vehicle energy demands from given trip data. venco.py provides normalized, aggregated electric vehicle fleet demand profiles for two cases: Uncontrolled charging and a technical (mobility-constrained) potential for controlled charging including vehicle-to-grid.

  • electricity
  • electric vehicles
  • Flexibility
  • + 2
  • Python
6
27