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Add kuzu derivative to readme
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README.md

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

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