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49-55 of 55

novoSpaRc

novoSpaRc predicts locations of single cells in space by solely using single-cell RNA sequencing data. An existing reference database of marker genes is not required, but significantly enhances performance if available.

  • Data analysis
  • open source
  • single-cell RNA-seq
  • Jupyter Notebook
  • HTML
  • Python
4
0

ParFlow

ParFlow is a parallel, integrated hydrology model that simulates spatially distributed surface and subsurface flow.

  • Earth System Modelling
  • High performance computing
  • Hydrology
  • + 2
  • C
  • Tcl
  • Python
  • + 17
1
0
Logo for PP

PP

Pixel-Patrol

  • Data exploration
  • Prevalidation
  • QC
  • + 1
  • Jupyter Notebook
  • Python
  • JavaScript
  • + 3
0
0

PyCast S2S

PyCast S2S is a collection of tools for post-processing climate forecasts. It is tailored towards the integration in operational workflows, allowing for automated bias-correction and forecast evaluation. PyCast is written in Python and uses state-of-the-art libraries for data processing.

  • Climate forecasting
  • Earth & Environment
  • open source
  • + 1
  • Jupyter Notebook
  • Python
5
0
Logo for PyPlaque

PyPlaque

PyPlaque is an open-source Python package for automated analysis of virus plaque assays. It quantifies plaque morphology, size, and intensity from plate images, integrates with Python data tools, and enables reproducible, customizable workflows for high-throughput infection biology studies.

  • Health
  • Image processing
  • Omics
  • + 1
  • Jupyter Notebook
  • Python
3
0
Logo for stmlab

stmlab

Simplify complex composite calculations. Launch and runtime environment for software projects developed by the Department of Structural Mechanics at the Institute of Lightweight Structures (DLR).

  • data managment
  • Jupyter
  • python
  • + 1
  • Dockerfile
  • Python
  • Jupyter Notebook
1
0

UTILE-Oxy

Automated workflow using deep learning for the analysis of videos containing oxygen bubbles in PEM electrolyzers: 1. preparing annotated dataset and training models to conduct semantic seg- mentation of bubbles and 2. automating the extraction of bubble properties for further distribution analysis.

  • bubbles
  • Data analysis
  • Data Visualization
  • + 7
  • Python
  • Jupyter Notebook
6
0