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Library extending Jupyter notebooks to integrate with Apache TinkerPop
The graph notebook provides an easy way to interact with graph databases using Jupyter notebooks. Using this open-source Python package, you can connect to any graph database that supports the Apache TinkerPop, openCypher or the RDF SPARQL graph models. These databases could be running locally on your desktop or in the cloud. Graph databases can be used to explore a variety of use cases including knowledge graphs and identity graphs. This project includes many examples of Jupyter notebooks....
Cog is a lightweight, embedded graph database for Go that provides a simple interface for storing and querying graph-based data structures, making it useful for knowledge representation and graph analytics.
Redland is a set of object-based, modular and portable C RDF libraries providing RDF APIs for the graph, triple storage (librdf), RDF/XML parsing and serializing (Raptor), SPARQL RDF querying (Rasqal). Language APIs in Perl, PHP, Python, Ruby and others.
e4Graph is a C++ library and a Tcl binding providing persistent, reliable, cross-platform storage for graph like structures. Please visit http://e4graph.sourceforge.net for more info.
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