RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information.

Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, NetworkX, RAPIDS, RDFlib, pySHACL, PyVis, morph-kgc, pslpython, pyarrow, etc.

🐍 Python Implementation and Extension of RDF2Vec

A simple implementation of the OWL2 RL Profile on top of RDFLib: it expands the graph with all possible triples that OWL RL defines. It can be used together with RDFLib to expand an RDFLib Graph object, or as a stand alone service with its own serialization.

Visualize RDF data in Jupyter with Pandas

💫 Deploy SPARQL endpoints from RDFLib Graphs to serve RDF files, machine learning models, or any other logic implemented in Python

RdfPandas is a module providing RDF support for Pandas

Pure Go library for working with RDF, a powerful framework for representing informations as graphs.

The provenance of a Jupyter Notebook

Python client for searching, publishing and modifying nanopublications.

Explainable complex question answering over RDF files via Llama Index.

Information Visualisation lectures @dhdk / UNIBO

A Store back-end for rdflib to allow for reading and querying HDT documents

Semantic Web Exercise: Reasoning and Visualization of the Genealogical Ontologies

Python bindings for upgraded FaCT++ description logic reasoner

TextGraphs + LLMs + graph ML for entity extraction, linking, ranking, and constructing a lemma graph

Ontogram - an OWL ontology diagram generator

The open-source adapter for working with RDF databases and SPARQL queries in Jupyter notebooks leveraging the yFiles Graphs for Jupyter plugin.

The SPARQL Anything Python library

quadipy is a python package to help transform structured data into RDF graph format