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....
a tool-kit for creating "web 2.5 generation", include several useful stuff to work with semantic web (otology editor, gui for sparqlquery, ontology components...) and design RIAs's gui visually (html + ajax based apps, flash based apps,...)