HIFIS Software Spotlights

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1-12 of 89
Logo for QUAST

QUAST

QUAST is a state-of-the-art tool for (meta)genome assembly evaluation, computing over 50 quality metrics and presenting results in plain text, static plots, and interactive HTML reports.

  • Data Visualization
  • FAIR Software
  • Genome assembly
  • + 4
  • AMPL
  • C++
  • Python
  • + 12
4
10756

ETHOS.FINE - Framework for Integrated Energy System Assessment

ETHOS.FINE provides a framework for modeling, optimizing and assessing energy systems. Systems with multiple regions, commodities and time steps can be modeled. Target of the optimization is the minimization of the total annual cost while considering technical and environmental constraints.

  • Energy
  • Energy planning
  • ESD
  • + 6
  • Python
  • Dockerfile
2
966
Logo for CPlantBox

CPlantBox

CPlantBox is a functional-structural plant-soil modelling framework. It simulated the 3D architecture of a plant, coupled carbon and water flow within the plant, water flow and solute transport in a 3D dynamic soil, as well as water and nutrient uptake, and rhizodeposition.

  • C++
  • FSPM
  • functional-structural soil-plant model
  • + 2
  • Python
  • C++
  • CMake
  • + 3
9
312
Logo for MIRP

MIRP

MIRP is a python package for quantitative analysis of medical images. It focuses on processing images for integration with radiomics workflows. These workflows either use quantitative features computed using MIRP, or directly use MIRP to process images as input for deep learning models.

  • Medical Image Processing
  • python
  • radiomics
  • Python
  • Jupyter Notebook
  • R
  • + 2
3
227
Logo for AROSICS

AROSICS

AROSICS is an automated and robust open-source image co-registration software for multi-sensor satellite data.

  • Earth & Environment
  • Fourier Shift Theorem
  • Geometric Pre-processing
  • + 8
  • Python
  • Makefile
  • Shell
1
221
Logo for SeisBench: A toolbox for machine learning in seismology

SeisBench: A toolbox for machine learning in seismology

SeisBench is an open-source Python toolbox for machine learning in seismology. It brings together the whole machine learning model lifecycle: datasets and benchmarks, models and training pipelines, and efficient implementations for deploying the models in production.

  • Earth & Environment
  • GPU
  • Helmholtz AI
  • + 4
  • Jupyter Notebook
  • Python
6
183

pycomlink

A python toolbox for deriving rainfall information from commercial microwave link (CML) data.

  • precipitation estimation
  • python
  • rainfall
  • + 2
  • Jupyter Notebook
  • Python
4
148
Logo for GSTools

GSTools

GSTools is a Python-based software suite for solving a wide range of geostatistical problems. GSTools provides methods for generating different classes of correlated random fields; it can perform kriging, variogram estimation and much more.

  • covariance-model
  • geospatial
  • geostatistics
  • + 7
  • Python
2
145
Logo for VarFish

VarFish

VarFish is a user-friendly web application for the quality control, filtering, prioritization, analysis, and user-based annotation of DNA variant data with a focus on rare disease genetics. It is capable of processing variant call files with single or multiple samples. ...

  • Annotation
  • Data analysis
  • Health
  • + 1
  • Python
  • Vue
  • TypeScript
  • + 9
14
52
Logo for Aviator

Aviator

Aviator is a web service facilitating easy surveillance of scientific online tools. It currently checks more than 13,000 websites twice a day for availability and saves numerous features (response time, RAM usage security certificates, analytic tools / trackers, etc.) in a FAIR data repository.

  • Data Visualization
  • FAIR Data
  • FAIR Software
  • + 8
  • Python
  • HTML
  • JavaScript
  • + 5
6
37

kramersmoyal

The Python package `kramersmoyal` provides functions to analyze stochastic drift-diffusion and discontinuous stochastic processes in observational and experimental data.

  • Data analysis
  • Drift-Diffusion
  • Energy
  • + 5
  • Python
  • TeX
2
35

Copy-Paste Imputation (CPI) for Energy Time Series

This project provides a Python implementation of an imputation method for energy time series. The CPI method copies data blocks with similar characteristics and pastes them into gaps of the time series while preserving the total energy of each gap.

  • Earth & Environment
  • Energy
  • ESD
  • + 2
  • Python
6
31