📄️ Neo4j
At the ƒxyz Network, we have adopted Neo4j as our primary graph database platform, which enhances our capabilities in graph data science and machine learning. We create our visualizations using Neo4j and employ a variety of graph machine learning algorithms, integrating knowledge graphs with learning management systems and other sophisticated features.
📄️ OpenBB
Open Source Bloomberg Terminal Alternative
📄️ GraphXR
The fxyz Network extensively utilizes GraphXR, provided by Kineviz, for a variety of purposes including data visualization and leveraging its powerful graph algorithms. GraphXR offers an intuitive platform that enables the fxyz Network to dynamically interact with and visualize complex graph data, enhancing analytical capabilities and insights.
📄️ infranodus
InfraNodus is not only a powerful tool for visualizing knowledge graphs but also excels in querying and analyzing text-based data. This capability is grounded in scientific research, as detailed in the study published in the ACM Digital Library: Scientific Research on Text-Based Data Analysis. This research underpins the methodologies used in InfraNodus to provide deep insights and robust data handling.
📄️ neosemantics
Neosemantics (n10s) is a powerful plugin for Neo4j that facilitates the integration of RDF (Resource Description Framework) and its associated vocabularies such as OWL, RDFS, and SKOS into the Neo4j database. This tool is essential for those looking to leverage RDF for data interchange, which is a standard model recognized by the W3C.