RDFLib is designed to access arbitrary network and file resources, in some cases these are directly requested resources, in other cases they are indirectly referenced resources.

RDFLib contains most things you need to work with RDF, including: parsers and serializers for RDF/XML, N3, NTriples, N-Quads, Turtle, TriX, Trig, JSON-LD and even HexTuples

Feb 12, 2026 · RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information.

Apr 18, 2020 · RDFLib, is a volunteer-run GitHub organization that maintains is a collection of Python tools for working with RDF data, principally the rdflib package.

The core class in RDFLib is Graph which is a Python dictionary used to store collections of RDF triples in memory. It redefines certain built-in Python object methods in order to exhibit simple graph …

We have separate abstractions for the information itself compared to how it is represented. To take advantage of this abstraction, rdflib introduces an rdf class object.

This core RDFLib package includes store implementations for in-memory storage and persistent storage on top of the Berkeley DB. A SPARQL 1.1 implementation is included - supporting SPARQL 1.1 …

For RDF programming, RDFLib and Python may not be the fastest tools, but we try hard to make them the easiest and most convenient to use and thus the fastest overall! This is a collection of hints and …

RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information. A simple implementation of the OWL2 RL Profile on top of RDFLib: it expands the graph …

Feb 11, 2026 · rdflib defaults to an in-memory hash-based storage structure. which should be best for most use cases. For very large triplestores, disk-based storage will be necessary. Enabling external …