Ontology based structural manipulation and quering
Project description
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 |
---|---|
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.
Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under the National Research Data Infrastructure – NFDI 38/1 – project number 460247524
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for pyscal_rdf-0.2.5-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2d9ccfaacfa8497bc7cdcba16a1d481e2d48224d8c4a6e040252a074ff2b864d |
|
MD5 | 6dc8bba6114376378fbec2c925a2df33 |
|
BLAKE2b-256 | 7b9e6409adc931c02b0ce4ff472275d43559ad673e1b04d6755b02139536d1c2 |