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HIFIS Software Spotlights

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Logo for MESSy

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
    2
    376
    Logo for MercuryDPM

    MercuryDPM

    MercuryDPM is an open-source C++ framework for discrete particle simulations of granular materials, powders, and other particulate systems. It was started in 2009 to support complex scientific and industrial particle simulations. MercuryDPM is developed by an international open-source community.

    • Computational Granular Mechanics
    • Discrete Element Method
    • Discrete Particle Method
    • + 3
      8
      347
      Logo for EnPT

      EnPT

      The Environmental Mapping and Analysis Program (EnMAP) is a German hyperspectral satellite mission that aims at monitoring and characterising Earth’s environment on a global scale. EnMAP measures and models key dynamic processes of Earth’s ecosystems by extracting geochemical, biochemical and biophy

      • Earth & Environment
      • EnMAP
      • Hyperspectral
      • + 2
      • Python
      • Makefile
      • Shell
      8
      1
      Logo for EL-PASO

      EL-PASO

      EL-PASO is a Python framework designed to streamline the download, processing, and saving of satellite particle observation data.

      • Data analysis
      • FAIR Data
      • metadata
      • + 1
      • Python
      • Jupyter Notebook
      • Shell
      0
      0
      Logo for Lightning UQ Box

      Lightning UQ Box

      The lightning-uq-box is a PyTorch library that provides various Uncertainty Quantification (UQ) techniques for modern neural network architectures.

      • Deep Learning
      • python
      • uncertainty quantification
      • Python
      0
      0
      Logo for LP2SS

      LP2SS

      A fast and deterministic python implementation to convert Lamination Parameters (LPs) into production-friendly Composite Stacking Sequences (SS) using FFTs and a Branch-and-Bound algorithm.

      • Aeronautics, Space and Transport
      • Branch and Bound
      • Composite Design
      • + 9
      • Python
      2
      0