(discontinued) A SPARQL 1.1 implementation for RDFLib - PINNED TO RDFLIB 3
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Latest commit f24469e May 15, 2013 @gromgull gromgull Update README.md



rdflib-sparql was merged into core rdflib on 2013-05-01 

Future development will happen in core rdflib. 

If you are using an older RDFLib, you are most interested in the 
no-lit-fix branch: https://github.com/RDFLib/rdflib-sparql/tree/no-lit-fix


A SPARQL 1.1 implementation for RDFLib.

This replaces the old implementation available in RDFExtras, hopefully with more maintainable code.

Build Status


Install with setuptools, either easy_install or pip will register the SPARQL processor with RDFLib automatically. I cannot recommend this strongly enough.

(you should also uninstall rdfextras - although my test with both installed still gave me the NEW sparql implementation - but I belive this was random, i.e. depending on a hash value of something)


g = rdflib.Graph()

for row in g.query(
    'select ?s where { [] <http://xmlns.com/foaf/0.1/knows> ?s .}'):
    print row

Prepared Queries

Queries can be parsed/translated beforehand - and the initBindings kwarg to graph.query can be used to fill in variables that are known:

# ./examples/preparedquery.py

import rdflib
from rdflib_sparql.processor import prepareQuery

q = prepareQuery(
    'select ?s where { ?person <http://xmlns.com/foaf/0.1/knows> ?s .}')

g = rdflib.Graph()

tim = rdflib.URIRef("http://www.w3.org/People/Berners-Lee/card#i")

for row in g.query(q, initBindings={'person': tim}): 
    print row

Property Paths

SPARQL PropertyPaths are also available as "pseudo properties" in python code. See docs in rdflib_sparql/paths.py

# ./examples/foafpath.py

g = Graph()

tim = URIRef("http://www.w3.org/People/Berners-Lee/card#i")

print("Timbl knows:")

# find name of everyone tim knows:
for o in g.objects(tim, FOAF.knows/FOAF.name):
    print o


SPARQL Update is implemented - but no HTTP/SPARQL Protocol yet. SPARQL Update requests can be evaluated with rdflib_sparql.processor.processUpdate

# ./examples/update.py*

import rdflib
from rdflib_sparql.processor import processUpdate

g = rdflib.Graph()

processUpdate(g, '''
PREFIX foaf: <http://xmlns.com/foaf/0.1/> 
PREFIX dbpedia: <http://dbpedia.org/resource/> 
    { ?s a dbpedia:Human . } 
    { ?s a foaf:Person . }

for x in g.subjects(


Currently about 90% of SPARQL 1.0 and SPARQL 1.1 Query tests pass. This should be much better than the RDFExtras implementation.

For test results, see also:


So far, only functional testing has been done, i.e. performance may be rubbish.

If you would like to dig into the code, see DEVELOPERS

I would welcome any feedback on this!