graphsv

graphsv is a Python library designed for the analysis and manipulation of graphs. It provides a comprehensive set of tools for creating, modifying, and querying graph structures, making it suitable for a wide range of applications in areas such as network analysis, social science research, and computational biology.

The library offers functionalities for representing graphs using various data structures, including adjacency lists and adjacency matrices. Users can easily add and remove nodes and edges, as well as access and update their attributes. graphsv also supports different types of graphs, such as directed and undirected graphs, and weighted graphs.

A key feature of graphsv is its extensive collection of graph algorithms. This includes algorithms for finding shortest paths, detecting cycles, calculating centrality measures, and performing community detection. These algorithms are implemented efficiently, allowing for the analysis of large and complex networks.

In addition to core graph operations and algorithms, graphsv provides tools for graph visualization. While not a primary focus, it integrates with popular visualization libraries to enable the plotting of graph structures, aiding in the understanding of network properties and relationships. The library's design emphasizes ease of use and flexibility, allowing researchers and developers to quickly implement and test graph-based solutions.