Factual package intelligence from PyPI
Transform materials research data into FAIR-compliant RDF Data. Align your datasets with MDS-Onto and convert them into Linked Data, enhancing interoperability and reusability for seamless data integration. See the README or vignette for more information. This tool is used by the
pip install fairlinked
PyPI declares 11 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=7.6.0>=4.0.0>=11.0.0>=3.0.0>=2.3.0>=0.6.1>=0.8.0>=4.0.0>=2.0.3FAIRLinked publishes 1 wheel and 1 source archive for version 0.3.3.11. Wheel platform tags: any.
Declared Python classifiers: 3.10.
An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.
PyPI lists 58 releases with files. The first dated release is ; 50 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .