A comprehensive, modular graph library for OCaml providing multiple graph implementations and algorithms.
OCamlgraph is a graph library for the OCaml programming language that provides multiple graph implementations and a comprehensive set of algorithms. It solves the problem of working with graph data structures in OCaml by offering both persistent and imperative graph types, along with reusable algorithm functors that work across different graph representations.
OCaml developers who need to implement graph algorithms, work with complex data relationships, or build applications requiring graph computations such as network analysis, dependency resolution, or pathfinding.
Developers choose OCamlgraph for its modular design that separates graph implementations from algorithms, allowing them to use pre-built solutions or create custom graph types while reusing the library's extensive algorithm collection. Its functor-based approach provides flexibility without sacrificing performance.
OCaml graph library
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Offers both persistent (immutable) and imperative (mutable) graph types with support for directed/undirected graphs and customizable labels, as detailed in the Persistent and Imperative modules.
Algorithms are written as functors, allowing them to be reused across custom graph types without modification, promoting flexibility and code reuse, as emphasized in the library's philosophy.
Includes a wide range of classic graph operations like traversal, coloring, and planar testing, demonstrated in example files such as demo.ml and demo_planar.ml.
Provides Graph.Pack.Digraph as a straightforward, efficient imperative data structure for directed graphs with integer labels, making it accessible for initial use cases.
The functor-heavy design requires deep understanding of OCaml's module system, which can be daunting for developers not versed in advanced functional programming concepts.
Focuses on core data structures and algorithms, lacking out-of-the-box tools for graph visualization, serialization, or advanced optimizations that some other libraries offer.
The README describes the main implementation as 'reasonably efficient', which may not meet the needs of applications requiring ultra-high performance or real-time graph manipulations.