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HIFIS Software Spotlights

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1-12 of 18

CADET

CADET is a fast and accurate solver for a comprehensive model family of biotechnological processes. Applications include chromatography, filtration, crystallization, and fermentation. The open source software implements state-of-the-art mathematical algorithms and scientific computing techniques.

adsorption
chromatography
compartment modelling
+ 4

C++
CMake
C
+ 1

247

calibr8

calibr8 is a Python toolbox for likelihood-based calibration modeling and Bayesian inference. It supports uni- and multivariate problems, continuous & discrete distributions and includes ready to use models for many non-linear problems. It integrates with PyMC for advanced Bayesian inference.

Calibration
Data analysis
Earth & Environment
+ 4

Jupyter Notebook
Python

CellDetection

An open-source Python package, offering advanced AI methods for the identification and segmentation of biomedical objects, such as cells, in image data. Includes trained models that work out-of-the-box for a wide range of use cases.

cell counting
cell detection
cell segmentation
+ 9

Python
Dockerfile

CryoGrid

The CryoGrid Model Suite provides a set of numerical tools for simulating the thermal soil regime and the ice-water balance for permafrost and glaciers. Depending on the application needs different model tools are offered, characterized by different levels complexity and modularity.

Climate
Earth & Environment
Modeling
+ 1

MATLAB
HTML
Mercury
+ 2

257

GMGPolar

GMGPolar is a geometric multigrid solver using implicit extrapolation to raise the convergence order. It is based on meshes in tensor- or product-format. GMGPolar's focus applications are geometries that can be described by polar or curvilinear coordinates for which suited smoothing is available.

Energy
Geometric Multigrid
High performance computing
+ 5

C++
Python
CMake
+ 3

HiSim - Household Infrastructure and Building Simulator

HiSim is a Python package for simulation and analysis of household scenarios and building systems using modern components as alternative to fossil fuel based ones. This package integrates load profiles generation of electricity consumption, heating demand, electricity generation.

ESD - Topic 1
Modeling
python
+ 1

Python
Jupyter Notebook
TeX
+ 3

IGMAS+

Software combining 3-D forward and inverse modeling, interactive visualization and interdisciplinary interpretation of potential fields and their applications under geophysical and geological data constrains.

3D
Cross-platform
Earth & Environment
+ 8

380

JuPedSim

JuPedSim is a framework designed to support students and researchers in investigating pedestrian dynamics and conducting research related to the development and validation of new models or model features. It enables the analysis of experiments and facilitates the proper visualization of results.

Information
Modeling
open source
+ 3

Python
C++
Jupyter Notebook
+ 4

MERCY

The marine mercury cycling model MERCY v2.0 is a chemistry transport and bio-accumulation model for mercury (Hg). It implements all known processes for marine (pelagic and benthic) Hg cycling into a biogeochemical 3D ocean-ecosystem model. https://gmd.copernicus.org/preprints/gmd-2021-427/

Bioaccumulation
Chemistry Transport Modeling
Earth & Environment
+ 6

MESSy

MESSy is a software framework for the assembly of Earth System Models with components, which are numerical representations of processes in the Earth system. The unique feature of MESSy is its modular structure that facilitates continuous development and flexible model configurations.

Aeronautics, Space and Transport
Atmospheric science
Earth & Environment
+ 5

Minterpy

Minterpy is an open-source Python package for multivariate polynomial interpolation as well as related tasks, like nonlinear polynomial regression, numerical integration, global optimization, level-set methods, and much more.

Interpolation
Modeling
numerical Integration

Python

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

119

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