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
Metadata
Release files for pyscal-rdf 0.2.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyscal_rdf-0.2.5.tar.gz | 45.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyscal_rdf-0.2.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 97.4 kB
Release files / pyscal_rdf-0.2.5.tar.gz
| Download URL | pyscal_rdf-0.2.5.tar.gz |
|---|---|
| Size | 45.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
e33159ff66468a048edd29a62c245e57d77c330fb16dcfd70b9e80298f48bb84
|
|
BLAKE2b-256 checksum How to use checksums |
75d4e265a3adc33481d63bab207fa51e1c40d882871f1f95e9c6979e8943502e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.9.19
|
Release files / pyscal_rdf-0.2.5-py3-none-any.whl
| Download URL | pyscal_rdf-0.2.5-py3-none-any.whl |
|---|---|
| Size | 51.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
2d9ccfaacfa8497bc7cdcba16a1d481e2d48224d8c4a6e040252a074ff2b864d
|
|
BLAKE2b-256 checksum How to use checksums |
7b9e6409adc931c02b0ce4ff472275d43559ad673e1b04d6755b02139536d1c2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.9.19
|