@@ -22,15 +22,22 @@ built [yfiles-jupyter-graphs-for-neo4j](https://github.com/yWorks/yfiles-jupyter
2222extension on top of ` yfiles-jupyter-graphs ` . This extension provides an easier Python interface for the
2323driver and allows direct configuration of data mappings depending on the label or type of the node or relationship.
2424
25+ So if you are planning to use the extension with Neo4j databases, consider
26+ using [ yfiles-jupyter-graphs-for-neo4j] ( https://github.com/yWorks/yfiles-jupyter-graphs-for-neo4j/ ) .
27+
28+ ## ` yfiles-jupyter-graphs-for-kuzu `
29+
30+ For working with Kuzu databases, we
31+ built [ yfiles-jupyter-graphs-for-kuzu] ( https://github.com/yWorks/yfiles-jupyter-graphs-for-kuzu/ ) , an open-source
32+ extension on top of ` yfiles-jupyter-graphs ` . This extension provides a specifically tailored API for easier and more
33+ domain specific usage in Kuzu databases (see [ Kuzu integration guide] ( https://docs.kuzudb.com/visualization/third-party-integrations/yfiles/ ) ).
34+
2535## ` yfiles-jupyter-graphs-for-sparql `
2636
27- For working with RDF databases and SPARQL queries, we built
37+ For working with RDF databases and SPARQL queries, we built
2838[ yfiles-jupyter-graphs-for-sparql] ( https://github.com/yWorks/yfiles-jupyter-graphs-for-sparql/ ) , an open-source
2939extension on top of ` yfiles-jupyter-graphs ` . This extension provides a specifically tailored API for easier and more
30- domain specific usage in RDF databases with SPARQL.
31-
32- So if you are planning to use the extension with Neo4j databases, consider
33- using [ yfiles-jupyter-graphs-for-neo4j] ( https://github.com/yWorks/yfiles-jupyter-graphs-for-neo4j/ ) .
40+ domain specific usage in RDF databases with SPARQL.
3441
3542## Supported Environments
3643- [ JupyterLab or Jupyter Notebook] ( https://jupyter.org/ )
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