pyscal_rdf
pyscal_rdf is a python tool for ontology-based creation, manipulation, and quering of structures. pyscal_rdf uses the Computational Material Sample Ontology (CMSO).
The package is currently under activate development and could be unstable .
You can try pyscal_rdf here:
| Jupyter notebook | GUI |
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Installation
Supported operating systems
pyscal_rdf can be installed on Linux and Mac OS based systems. On Windows systems, it is recommended to use Windows subsystem for Linux.
Using pip
pip install pyscal-rdf
Using conda
conda install -c conda-forge pyscal-rdf
Building from the repository
We strongly recommend creating a conda environment for the installation. To see how you can install conda see here.
Once a conda distribution is available, the following steps will help set up an environment to use pyscal_rdf. First step is to clone the repository.
git clone https://github.com/pyscal/pyscal_rdf.git
After cloning, an environment can be created from the included file-
cd pyscal_rdf
conda env create -f environment.yml
This will install the necessary packages and create an environment called rdf. It can be activated by,
conda activate rdf
then, install pyscal_rdf using,
pip install .
Using pyscal_rdf
Coming soon..
Acknowledgements
This work is supported by the NFDI-Matwerk consortia.