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PeakPerformance

PeakPerformance is a Python toolbox for estimating peak areas from mass-spectrometry or HPLC datasets under uncertainty. It applies Bayesian inference using the PyMC library to parametric models of peak curves.

Data analysis
Earth & Environment
mass spectrometry
+ 4

Python
TeX

python-icat

Python interface to ICAT and IDS

metadata
metadata catalogue
python
+ 1

Python
XSLT
Makefile

S2Downloader

The S2Downloader allows to download Sentinel-2 L2A data from the cost-free element84 AWS Amazon server. It specifically serves the purpose to download data for user-defined area of interests (AOI). It offers several parameters for filtering the data, can stack the results, mosaic and crop to AOI.

open source
python
Remote sensing
+ 1

Python
Makefile
Shell

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

somesy

Somesy (software metadata sync) is a CLI tool to avoid messy software project metadata by keeping it in sync.

FAIR Software
python

Python

spirit

Spirit is a platform-independent framework for atomistic spin-dynamics. It combines the traditional cluster workflow through a C-API with python bindings with modern visualisation capabilities in order to maximise scientists' productivity.

Atomistic Spin Dynamics
C++
CUDA
+ 5

C++
Python
CMake
+ 9

supervillain

supervillain does Markov-Chain Monte Carlo for modified Villain constructions of quantum field theory.

computational physics
Monte Carlo simulation
Physics
+ 2

Python
TeX
Batchfile
+ 1

ukis-csmask

UKIS Cloud Shadow MASK (ukis-csmask) package masks clouds and cloud shadows in Sentinel-2, Landsat-9, Landsat-8, Landsat-7 and Landsat-5 images. Masking is performed with a pre-trained convolution neural network. It is fast and works directly on Level-1C data (no atmospheric correction required).

Earth & Environment
Image processing
python
+ 1

Python

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