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Cover image for KaMinPar

KaMinPar

Shared-Memory and Distributed-Memory Graph Partitioning

  • Data analysis
  • Graphs
  • High performance computing
  • + 3
  • C++
  • CMake
  • Roff
  • + 3
5
5
Cover image for MLAir

MLAir

MLAir (Machine Learning on Air data) is an environment that simplifies and accelerates the creation of new machine learning (ML) models for the analysis and forecasting of meteorological and air quality time series.

  • Python
  • Shell
  • Jupyter Notebook
  • + 2
3
5
Cover image for Prospective Monitoring and Management - App (PIA)

Prospective Monitoring and Management - App (PIA)

PIA is a free open-source eResearch System for monitoring of incident events and provides a digital infrastructure for conducting population-based studies in any research field - at a study centre or at home. PIA focuses on repeated surveys. #DigitalEpidemiology #LongitudinalDataCollection #FOSS

  • Data Collection
  • Digital Infrastructure
  • epidemiology
  • + 5
  • TypeScript
  • HTML
  • JavaScript
  • + 9
11
5
Cover image for pySDC

pySDC

pySDC is a Python implementation of the spectral deferred correction approach and its flavors, esp. the parallel-in-time extension PFASST. It is intended for rapid prototyping and educational purposes. New ideas can be tested and first toy problems can be easily implemented.

  • collocation
  • high-performance computing
  • Information
  • + 4
  • Jupyter Notebook
  • Python
  • C++
  • + 2
5
5
Cover image for JUBE

JUBE

JUBE is a generic, lightweight, configurable environment to run, monitor and analyse application execution in a systematic way. This software is commonly used to execute benchmarks and complex workflows on High Performance Computers, but is not limited to these systems.

  • Benchmark
  • Benchmarking
  • High performance computing
  • + 5
  • Python
  • Shell
  • C
5
4
Cover image for PedPy

PedPy

PedPy is a Python library for the analysis of pedestrian movement data.

  • pedestrian analysis
  • pedestrian dynamics
  • research software
  • Pascal
  • Python
  • Jupyter Notebook
  • + 1
3
4
Cover image for TomoBEAR

TomoBEAR

TomoBEAR is an open-source configurable and customizable modular pipeline for streamlined and parallelized processing of large-scale cryo-electron tomography data for subtomogram averaging.

  • Alignment
  • automated reasoning
  • cluster
  • + 16
  • MATLAB
  • M
  • Python
  • + 1
4
4
Cover image for atoMEC

atoMEC

atoMEC is a python-based average-atom code for simulations of high energy density phenomena such as in warm dense matter. It is designed as an open-source and modular python package.

  • Matter
  • Python
  • Shell
4
3
Cover image for PIConGPU

PIConGPU

PIConGPU is a relativistic Particle-in-Cell code running on graphic processing units as well as regular multi-core processors. It is Open Source und is freely available for download. It can be used to study plasmas with relativistic dynamics, solving the Maxwell-Vlasov system of equations.

  • CPU
  • GPU
  • heterogeneous computing
  • + 3
  • C++
  • Python
  • Shell
  • + 5
11
3
Cover image for PaN Training Catalogue for the Photon & Neutron Community

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
Cover image for CUAS-MPI

CUAS-MPI

CUAS-MPI is the MPI-parallel implementation of the confined-unconfined aquifer system model for subglacial hydrology. The model uses a single-layer equivalent porous medium approach and solves a two-dimensional Darcy-type groundwater flow equation.

  • C++
  • Earth & Environment
  • FAIR Software
  • + 4
  • C++
  • CMake
  • C
  • + 1
4
2
Cover image for deploy2zenodo

deploy2zenodo

deploy2zenodo is a script to deploy your data to zenodo. You can use it in a CI pipeline as an automatic workflow. Environmental variables allow very flexible use. Depending on the flags, the data can be curated before deployment in a merge request, in the zenodo web interface or not curated at all.

  • automatic workflow
  • CI pipeline
  • deploy
  • + 7
  • Shell
  • Python
1
2