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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

Copy-Paste Imputation (CPI) for Energy Time Series

This project provides a Python implementation of an imputation method for energy time series. The CPI method copies data blocks with similar characteristics and pastes them into gaps of the time series while preserving the total energy of each gap.

Earth & Environment
Energy
ESD
+ 2

Python

JURASSIC

The Juelich Rapid Spectral Simulation Code (JURASSIC) is a fast infrared radiative transfer model for the analysis of atmospheric remote sensing measurements.

Atmospheric science
Climate
Earth & Environment
+ 5

C
Shell
Makefile
+ 1

LaPy

LaPy is an open-source Python package for differential geometry on triangle and tetrahedra meshes. It includes an FEM solver to estimate the Laplace, Poisson or Heat equations, also the computations of gradients, divergence, mean-curvature flow, conformal mappings, geodesics, ShapeDNA and more.

computational geometry
FEM
Laplace
+ 4

Python

TetraX

TetraX is a package for finite-element-method (FEM) micromagnetic modeling with the aim of providing user-friendly and versatile micromagnetic workflows. Among other features, it allows to efficiently calculate spin-wave spectra in different magnetic systems of general geometries.

finite-element-method
magnetization dynamics
micromagnetic modeling
+ 4

Python
C
Cython

XCASCADE (3D)

XCASCADE (3D) software models electron cascades in solids induced by X-ray impact or by an impact of high-energy electron in non-relativistic energy regime. The code can provide temporal and spatial characteristics of the excited electrons, such as their transient density and energy.

Electron cascading
Modeling
Monte Carlo simulation
+ 3

Multiphase Code Repository by HZDR for OpenFOAM Foundation Software

This software publication is released by Helmholtz-Zentrum Dresden-Rossendorf according to FAIR principles. It contains experimental research work for the numerical simulation of multiphase flows. The development is based on the open-source software released by the OpenFOAM Foundation.

Computational Fluid Dynamics
Energy
Euler-Euler method
+ 5

AiiDA-KKR

This AiiDA plugin provides high-throughput automation and FAIR data management for the Jülich KKR codes.

Data Visualization
FAIR Data
Information
+ 4

Python
Shell
OpenEdge ABL

Elephant

Elephant (Electrophysiology Analysis Toolkit) is an open-source, community centered library for the analysis of electrophysiological data in the Python programming language.

data-analysis
electrophysiology
neurophysiology
+ 2

Python
C++
Cuda
+ 1

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
GPU
+ 4

Python
Jupyter Notebook
Shell
+ 1

KaHyPar

KaHyPar is a fast, high-quality, and scalable algorithm for partitioning graphs and hypergraphs with billions of edges. It finds applications in minimizing communication costs for distributed (hyper)graph computations, quantum circuit simulations, storage sharding in databases, and VLSI design.

Clustering
Data analysis
Graphs
+ 8

MPTRAC

Massive-Parallel Trajectory Calculations (MPTRAC) is a Lagrangian particle dispersion model for the analysis of atmospheric transport processes in the free troposphere and stratosphere.

Atmospheric science
Climate
Earth & Environment
+ 6

C
Shell
Python
+ 1