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Logo for PtyLab.m/py/jl
@helmholtz.software

PtyLab.m/py/jl

A cross-platform, open-source inverse modeling toolbox for conventional and Fourier ptychography

  • computational physics
  • Data analysis
  • Data Visualization
  • + 10
  • Jupyter Notebook
  • Python
14
6
Logo for Automated xy calibration for 3D printers using a scanner
@research-software-directory.org

Automated xy calibration for 3D printers using a scanner

Automated xy calibration for 3D printers using a scanner

  • 3D printer
  • calibration
  • FDM
  • + 11
    3
    5
    @helmholtz.software

    JumpDiff

    The python package `JumpDiff` offers methods to generate and analyze stochastic processes that are described by a jump-diffusion process.

    • Data analysis
    • Energy
    • ESD
    • + 4
    • Python
    1
    5
    Logo for SimCATS
    @helmholtz.software

    SimCATS

    Simulation of CSDs for Automated Tuning Solutions (SimCATS) is a python framework for simulating charge stability diagrams (CSDs) typically measured during the tuning process of qubits.

    • open source
    • python
    • Quantum Dots
    • + 1
    • Jupyter Notebook
    • Python
    4
    5
    @helmholtz.software

    stream2segment

    A Python library and command line application to download, process and visualize event-based seismic waveform segments, specifically designed to manage big volumes of data

    • Big data
    • data managment
    • Data Visualization
    • + 5
    • Python
    • Jupyter Notebook
    • HTML
    • + 1
    1
    4
    Logo for Data and code underlying Chapter 4 of the PhD thesis "Advanced Magnetocaloric Regenerators for Heat Pump Applications"
    @research-software-directory.org

    Data and code underlying Chapter 4 of the PhD thesis "Advanced Magnetocaloric Regenerators for Heat Pump Applications"

    Data and code underlying Chapter 4 of the PhD thesis "Advanced Magnetocaloric Regenerators for Heat Pump Applications"

    • active magnetocaloric regenerator
    • layered AMR
    • magnetocaloric heat pump
    • + 5
    • (Other)
    • (Python)
    4
    3
    Logo for AstronomicAL
    @research-software-directory.org

    AstronomicAL

    An interactive dashboard for visualisation, integration and classification of data using Active Learning.

    • Active Learning
    • Classification
    • Data Analysis
    • + 11
    • (Python)
    • (TeX)
    1
    3
    @research-software-directory.org

    chimp-classifier

    The Python package `junglesounds` is a machine learning pipeline for classifying bioacoustic data using machine learning. The pipeline is reusable for other settings and species or vocalization types as long as a certain amount of labeled data has been collected.

    • audio
    • Audio processing
    • bioacoustics
    • + 2
    • ("Jupyter Notebook")
    • (Python)
    • (Shell)
    2
    3
    @research-software-directory.org

    Entangled

    Entangled makes literate programming easier. It keeps markdown and program source in sync. This makes it more convenient to extend and debug your literate code.

    • Literate Programming
    • open science
    • python
    • + 2
    • (C)
    • (C++)
    • (Jinja)
    • + 3
    5
    3
    @research-software-directory.org

    Introduction to Geospatial Raster and Vector Data with Python

    This lesson material shows how practical geospatial data analysis tasks can be carried out using Python

    • Data Analysis
    • geospatial
    • Image processing
    • + 4
      3
      3
      @research-software-directory.org

      PyChelator

      PyChelator is a Python-based Colab and web application for metal chelator calculations, taking into account pH, temperature, and ionic strength. The build-in constants can be used for EGTA and ATP as chelators, together with Calcium and Magnesium as metals. User-defined constants can be used.

      • application
      • calcium
      • chelator
      • + 7
      • (CSS)
      • (HTML)
      • (JavaScript)
      • + 2
      3
      3
      Logo for SedTRAILS
      @research-software-directory.org

      SedTRAILS

      SedTRAILS is a Lagrangian particle-tracking model for simulating and visualizing coastal sediment pathways and connectivity. Initial public release forthcoming ~February 2026.

      • Coastal Engineering
      • coastal processes
      • connectivity
      • + 5
      • (Python)
      2
      3