RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information.
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Updated
Sep 23, 2026 - Python
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
Browser-based ontology workbench for OWL ontologies and SKOS vocabularies. Streamlit + rdflib, no Java, no Protégé. OWL-RL reasoning, 22 SKOS validation checks, read-only SPARQL console, bulk operations, gist upper-ontology starters, merge-aware imports, interactive vis-network graph.
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.
RdfPandas is a module providing RDF support for Pandas
The provenance of a Jupyter Notebook
Python client for searching, publishing and modifying nanopublications.
Semantic Web Exercise: Reasoning and Visualization of the Genealogical Ontologies
Python bindings for upgraded FaCT++ description logic reasoner
Explainable complex question answering over RDF files via Llama Index.
TextGraphs + LLMs + graph ML for entity extraction, linking, ranking, and constructing a lemma graph
The open-source adapter for working with RDF databases and SPARQL queries in Jupyter notebooks leveraging the yFiles Graphs for Jupyter plugin.
A bridge between Pydantic V2 models and RDF graphs
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