A Ruby framework for graph data structures and algorithms, inspired by the Boost Graph Library.
RGL (Ruby Graph Library) is a framework for implementing and working with graph data structures and algorithms in Ruby. It provides a generic interface for graph access and traversal, along with a suite of common graph algorithms like shortest path, topological sort, and connected components. The library is designed to be flexible, allowing developers to use built-in graph classes or adapt their own data structures.
Ruby developers who need to implement graph-based logic, such as dependency resolution, network analysis, pathfinding, or social graph modeling in their applications.
RGL offers a clean, Ruby-native approach to graph processing with a well-defined interface inspired by the Boost Graph Library. It eliminates the need to manually implement complex graph algorithms, provides visualization support via Graphviz, and works seamlessly with Ruby's dynamic typing and iterator patterns.
RGL is a framework for graph data structures and algorithms in Ruby.
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Defines a standard RGL::Graph module for graph access, enabling easy integration with custom data structures, as highlighted in the design principles for algorithm/data-structure interoperability.
Implements essential algorithms like Dijkstra's shortest path, topological sort, and strongly connected components, reducing the need for manual implementation in Ruby projects.
Integrates with Graphviz via the RGL::DOT module for straightforward graph rendering, with examples showing customizable output options for vertices and edges.
Supports graphs defined dynamically through iterator blocks, allowing for virtual or on-the-fly graph constructions, as demonstrated in the module_graph example.
As an interpreted language, Ruby may not handle very large or complex graphs as efficiently as compiled alternatives like Boost Graph Library, with no complexity guarantees mentioned.
Missing modern graph algorithms such as A* search, Floyd-Warshall, or graph ML methods, focusing instead on classic patterns like BFS and DFS.
Requires Graphviz installation for drawing features, adding setup complexity and an external dependency for users needing graph output.