The text discusses the use of graph databases like Neo4j for storing, computing, and visualizing software metrics and analytics. Software metrics are crucial in understanding the quality and complexity of code, and various tools can be used to compute them, including commercial and free options. Graph visualizations are also prevalent in software development, making graph databases a natural fit for this purpose. The text highlights the potential of using Neo4j as a platform for parsing software systems and projects, creating a direct representation of concepts such as projects, packages, classes, interfaces, types, methods, fields, and their relationships. This data can be used to compute metrics, visualize dependencies, find code smells, and detect interesting patterns. The text also mentions various tools that can help with this endeavor, including Cypher queries, parsers for parsing byte- or source code, visualization tools like GraphViz and D3, and others.