A comprehensive Swift library for creating and manipulating weighted, unweighted, directed, and undirected graphs with built-in algorithms.
SwiftGraph is a Swift library that implements graph data structures and algorithms for modeling relationships between entities. It solves problems like pathfinding, network analysis, and dependency resolution by providing tools to create and manipulate graphs with support for various edge types and weights. Developers use it to handle connectivity challenges in applications ranging from logistics to social networks.
Swift developers building applications that require modeling relationships, such as network routing, dependency management, social graphs, or puzzle-solving algorithms. It's particularly useful for those needing graph algorithms without relying on external C++ or Python libraries.
SwiftGraph offers a native, type-safe Swift solution with no external dependencies, making it easy to integrate into Swift projects across all Apple platforms and Linux. Its comprehensive algorithm suite and clear documentation provide an efficient alternative to implementing graph logic from scratch.
A Graph Library for Swift
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Runs on all Swift-supported platforms including iOS, macOS, and Linux with no external dependencies, as highlighted in the platform agnostic feature.
Includes essential algorithms like Dijkstra's, BFS, DFS, topological sort, and cycle detection, providing solutions for common graph problems out of the box.
Uses Swift generics to allow flexible vertex and weight types, ensuring type safety and reducing runtime errors, as emphasized in the philosophy.
Features extensive in-source documentation and unit tests, making it easier for developers to understand and integrate, with HTML docs available via Jazzy.
The README explicitly states that graphs are not thread-safe, limiting usability in concurrent programming scenarios without additional synchronization.
Vertex index lookups are O(n) with n vertices, meaning performance degrades linearly for large graphs, as noted in the tips section.
Lacks support for graph serialization formats, dynamic algorithms, and other advanced features mentioned in future directions, such as GraphML support.