All software
Earth System Model Evaluation Tool (ESMValTool)
- climate modelling
- Data analysis
- Earth & Environment
- + 4
- NCL
- Python
- R
- + 7
4C Multiphysics
4C is a parallel multiphysics research code for simulating solid/fluid mechanics, scalar transport, and chemical reactions. It supports both single-field and coupled systems, offering ready-to-use solutions for a wide range of physical problems.
- Computational Fluid Dynamics
- High performance computing
- Information
- + 3
- C++
- CMake
- Python
- + 4
FastSurfer
FastSurfer is a fast and accurate deep-learning pipeline for the analysis of human brain MRI. FastSurfer provides a fully compatible FreeSurfer alternative for volumetric and surface-based thickness analysis, also supporting sub-mm resolutions, and sub-segmentation of neuroanatomical structures.
- Data analysis
- Deep Learning
- Image processing
- + 3
- Jupyter Notebook
- Python
- Shell
- + 1
SAGECal
Fast, memory efficient and GPU accelerated radio interferometric calibration program
- Big data
- GPU
- High performance computing
- C
- C++
- Cuda
- + 5
CellDetection
An open-source Python package, offering advanced AI methods for the identification and segmentation of biomedical objects, such as cells, in image data. Includes trained models that work out-of-the-box for a wide range of use cases.
- cell counting
- cell detection
- cell segmentation
- + 9
- Python
- Dockerfile
ESMValCore
ESMValTool Core: core functionalities and driver for ESMValTool, a community diagnostic and performance metrics tool for routine evaluation of Earth System Models in CMIP.
- Big data
- Optimized data handling
- Visualization
- + 1
- Python
- Jupyter Notebook
- HTML
- + 5
FAIR Data Point
RESTful web service that enables data owners to expose their data sets using rich machine-readable metadata.
- Big data
- Inter-operability & linked data
- Python
- Makefile
- Dockerfile
Scholia
Graphical User Interface around Wikidata that uses SPARQL to collect data
- Wikidata
- JavaScript
- Python
- HTML
- + 3
ESMValCore
- Data analysis
- Earth & Environment
- FAIR Software
- + 2
- Python
- Jupyter Notebook
- HTML
- + 5
Materials Learning Algorithms
MALA (Materials Learning Algorithms) is a data-driven framework to accelerate electronic structure calculations based on machine learning. Its purpose is to construct neural-network surrogate models for bypassing computationally expensive steps in state-of-the-art density functional simulations.
- DFT
- machine-learning
- Python
- Fortran
- Shell
- + 1
SpatialData framework
SpatialData is an open and interoperable data framework for ingesting, representing, processing and visualizing spatial omics datasets.
- Data Visualization
- FAIR Data
- Multi omics
- + 3
- Python
- Dockerfile
Paired omics data platform
If you do metabolomics experiments with mass spectra and have sequenced the genomes of the samples, then the platform can help you link them.
- Inter-operability & linked data
- TypeScript
- JavaScript
- HTML
- + 3