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RdfLibraries

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RDF Libraries for Python

There are several RDF processing libraries for Python, however many seem abandoned. RdfLib is the primary library that is still maintained.

Active:

  • RdfLib (see RdfLib) - Has utilities for constructing triplestores, loading and parsing rdf, searching, and other functions.

  • SparqlWrapper is provided by RDFLib and provides utilities for querying a sparql endpoint (such as an RDF4J triplestore) from Python and parsing output

Abandoned:

  • Oort is a toolkit using rdflib, Paste and Genshi, focusing on Web views of RDF graphs.

  • RedlandRdf - http://librdf.org/docs/python.html -

    • Redland is a python [and other-lang] wrapper around a C library.
    • The interface is not as pythonic as rdflib, but "feels" about the same.
    • Redland uses Raptor for parsing/serialization; Raptor supports NTriples, RDF/XML, Turtle, RSS, Atom.

    • Latest release around 2014

  • Rx4RDF - http://rx4rdf.liminalzone.org - is an application stack for building RDF-based applications and web sites. It uses either 4Suite, rdflib or RedlandRdf as the RDF store and layers on the following:

    • RxPath lets you query, transform and update RDF using familar XML technologies like XPath, XSLT and XUpdate.

    • Raccoon is a simple application server that uses an RDF model for its data store, roughly analogous to RDF as Apache Cocoon is to XML.

    • Rhizome is a content management and delivery system that runs on Raccoon that treates everything (structure and content) as RDF and lets you edit the RDF in a Wiki-like fashion.

    • Latest release around 2004

  • SemanticWebApplicationPlatform - http://www.w3.org/2000/10/swap/ - has a lot of stuff, feels like a big lump of code with little differentiation - looks great, but, what is it?

    • It's a big lump of code. :) It's the W3C-semweb-hacker's playground.

    • It has migrated to github, but is described as historic

    • Last formal release in 2007, but updated in 2022

    • Primary contributor is Tim Berners-Lee

  • sqltriples is a triple store implementation which uses relational databases to offer transactional storage and enhanced querying.

Editorial Notes

The above lists should be arranged in ascending alphabetical order - please respect this when adding new entries. When specifying release dates please use the format YYYY-MM-DD.