All software
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
ASTRA Toolbox
The ASTRA Toolbox is a Python and MATLAB library of flexible, high-performance GPU-accelerated primitives for 2D and 3D tomography.
- CT
- GPU
- Image reconstruction
- + 4
- C++
- Cuda
- MATLAB
- + 8
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
DUNE (Distributed and Unified Numerics Environment)
DUNE, the Distributed and Unified Numerics Environment, is a modular toolbox for solving partial differential equations (PDEs) with grid-based methods. It supports the easy, flexible, and efficient implementation of finite element and volume methods. DUNE is C++ code and also has a Python interface.
- C++
- Grid-based PDE methods
- High performance computing
- + 5
- C++
- CMake
- Python
- + 2
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
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
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
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
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
pycomlink
A python toolbox for deriving rainfall information from commercial microwave link (CML) data.
- precipitation estimation
- python
- rainfall
- + 2
- Python
mosaik
mosaik is a co-simulation framework with focus on the energy system. It allows you to reuse and combine existing simulation models and simulators to create large-scale Smart Grid scenarios – and by large-scale we mean thousands of simulated entities distributed over multiple simulator processes.
- Energy
- Multi-scale & multi model simulations
- OpenSource
- + 2
- Python
dtscalibration
A Python package to load raw Distributed Temperature Sensing (DTS) files, perform a calibration, and plot the result.
- calibration
- DTS
- fiber optic
- + 1
- Python
- Jupyter Notebook