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Logo for Eventdisplay
@helmholtz.software

Eventdisplay

Eventdisplay is a reconstruction and analysis pipeline for data of Imaging Atmospheric Cherenkov Telescopes (IACT).

  • Astronomy
  • Data analysis
  • gamma-ray telescopes
  • C++
  • C
  • Makefile
  • + 3
1
9
@research-software-directory.org

gammalearn

Deep Learning for Imaging Cherenkov Telescopes Data Analysis

  • cta
  • deep learning
  • Gamma-ray telescopes
  • + 1
  • (Dockerfile)
  • (Python)
4
9
Logo for HELIPORT
@helmholtz.software

HELIPORT

The guidance system HELIPORT aims to make the entire life cycle of a scientific project according to the FAIR principles. In particular, our data management solution deals with the areas from the generation of the data to the publication of primary research data, the workflows and results.

  • data managment
  • Earth & Environment
  • Energy
  • + 10
  • Python
  • HTML
  • JavaScript
  • + 2
9
9
Logo for Kaapana
@helmholtz.software

Kaapana

Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging.

  • data managment
  • Federated Learning
  • Image processing
  • + 2
  • Python
  • Vue
  • Shell
  • + 14
6
9
@research-software-directory.org

orbitN

Symplectic integrator for near-Keplerian planetary systems

  • astronomical solution
  • astronomy
  • N-body
  • + 2
    1
    9
    @research-software-directory.org

    pdb2sql

    Fast and versatile Python package that leverages SQL queries to parse, manipulate and process biomolecular structure files. The structure files should be in the PDB format and are available on www.rcsb.org.

    • Big data
    • Optimized data handling
    • (Makefile)
    • (Python)
    • (TeX)
    2
    9
    @helmholtz.software

    PeriLab

    PeriLab is a Software to solve Peridynamic problems. It is written in Julia to overcome many issues related to the Software Peridigm.

    • High performance computing
    • julialang
    • Peridynamics
    • + 1
    • Julia
    • G-code
    • Batchfile
    • + 2
    2
    9
    Logo for Turing Data Safe Haven
    @research-software-directory.org

    Turing Data Safe Haven

    Data Safe Haven is an open-source framework for creating Trusted Research Environments (TREs) to analyse sensitive data. It provides a set of scripts that will allow you to deploy, administer and use your own TRE on Microsoft Azure cloud.

    • Cloud
    • cloud storage
    • Infrastructure as code
    • + 3
    • (Dockerfile)
    • (Jinja)
    • (Python)
    • + 3
    29
    9
    @research-software-directory.org

    WRFpy

    WRFpy is a python application that provides an easy way to set up, run, and monitor Weather Research and Forecasting simulations

    • Data Simulation
    • python
    • (Python)
    4
    9
    Logo for Xenon command line interface
    @research-software-directory.org

    Xenon command line interface

    A command line interface for the Xenon library that allows you to use remote machines to do your computations.

    • High performance computing
    • (Batchfile)
    • ("Common Workflow Language")
    • (Dockerfile)
    • + 2
    2
    9
    Logo for  Code and data underlying the publication: Symmetrization of 2D Polygonal Shapes Using Mixed-Integer Programming
    @research-software-directory.org

    Code and data underlying the publication: Symmetrization of 2D Polygonal Shapes Using Mixed-Integer Programming

    Code and data underlying the publication: Symmetrization of 2D Polygonal Shapes Using Mixed-Integer Programming

    • Design
    • Digitalization
    • Shape optimization
    • + 1
    • (Automake)
    • (C)
    • (C++)
    • + 3
    3
    8
    Logo for Code supporting the paper: A Bayesian finite-element trained machine learning approach for predicting post-burn contraction
    @research-software-directory.org

    Code supporting the paper: A Bayesian finite-element trained machine learning approach for predicting post-burn contraction

    Code supporting the paper: A Bayesian finite-element trained machine learning approach for predicting post-burn contraction

    • Feed-forward neural network
    • Machine learning
    • MATLAB
    • + 5
      3
      8