Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/earlygrey/simple-graphs
A simple graph library for java
https://github.com/earlygrey/simple-graphs
graph graph-algorithms graphs java lightweight no-dependencies
Last synced: 9 days ago
JSON representation
A simple graph library for java
- Host: GitHub
- URL: https://github.com/earlygrey/simple-graphs
- Owner: earlygrey
- License: mit
- Created: 2020-06-25T14:26:37.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2023-01-10T19:25:32.000Z (almost 2 years ago)
- Last Synced: 2024-06-19T03:08:39.718Z (5 months ago)
- Topics: graph, graph-algorithms, graphs, java, lightweight, no-dependencies
- Language: Java
- Homepage:
- Size: 388 KB
- Stars: 43
- Watchers: 4
- Forks: 7
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGES
- License: LICENSE
Awesome Lists containing this project
- awesome-libgdx - Simple Graphs - A java library for graph data structures and algorithms (including fast pathfinding). (Resources / Algorithms and AI)
README
[![](https://jitpack.io/v/earlygrey/simple-graphs.svg)](https://jitpack.io/#space.earlygrey/simple-graphs)
# Simple Graphs
Simple graphs is a Java library containing basic graph data structures and algorithms. It is lightweight, fast, and intuitive to use.
It has two types of graph data structures representing undirected and directed graphs. Each of these provides methods for adding and removing vertices and edges, for retrieving edges, and for accessing collections of its vertices and edges. All graphs in simple graphs are weighted and (of course) simple.
Algorithms implemented are:
- [breadth first search](https://en.wikipedia.org/wiki/Breadth-first_search)
- [depth first search](https://en.wikipedia.org/wiki/Depth-first_search)
- shortest path using the [A* search algorithm](https://en.wikipedia.org/wiki/A*_search_algorithm) ([Dijkstra's algorithm](https://en.wikipedia.org/wiki/Dijkstra%27s_algorithm) when no heuristic is provided)
- [cycle detection](https://en.wikipedia.org/wiki/Cycle_(graph_theory)#Cycle_detection)
- [topological sort](https://en.wikipedia.org/wiki/Topological_sorting) for directed graphs (performed in-place)
- [minimum weight spanning tree](https://en.wikipedia.org/wiki/Minimum_spanning_tree) for undirected graphs using [Kruskal's algorithm](https://en.wikipedia.org/wiki/Kruskal%27s_algorithm)Simple graphs uses Java 8 and Java Collections. It has no dependencies, and is GWT compatible. It uses `float` for floating point values, so should be a little more compatible with libraries that use floats, such as [libgdx](https://github.com/libgdx/libgdx).
If you're looking for a broader, more powerful library and don't care about Java 8, GWT, or including a lot of extra dependencies, I'd recommend [JGraphT](https://jgrapht.org/). It essentially does everything this library does, plus a lot more (though it's not really "simple").
---
## Installation
To include Simple Graphs in your project, follow the instructions on the [jitpack website](https://jitpack.io/#space.earlygrey/simple-graphs).If you use GWT, your .gwt.xml file should inherit simple-graphs using:
```xml
```
## Usage
### Construction
Usage looks something like:
```java
Graph graph = new UndirectedGraph<>(); // or new DirectedGraph<>();for (int i = 0; i < 5; i++) {
graph.addVertex(i);
}
boolean containsVertex = graph.contains(0);graph.addEdge(1, 2);
boolean containsEdge = graph.edgeExists(1, 2)
```### Edge Weights
Edge weights can be assigned a fixed float value, or can be dynamically calculated via a `WeightFunction`.
```java
// fixed value
graph.addEdge(vertexA, vertexB, 1.5f);
graph.getEdge(vertexA, vertexB).setWeight(1.5f);
graph.setDefaultEdgeWeight(1.5f);// weight functions (assuming vertex class implements a distance method dst())
graph.addEdge(vertexA, vertexB, (a, b) -> a.dst(b));
graph.getEdge(vertexA, vertexB).setWeight((a, b) -> a.dst(b));
graph.setDefaultEdgeWeight((a, b) -> a.dst(b);
```### Collections
You can obtain `Collection`s of the vertices and edges:
```java
Collection vertices = graph.getVertices();
Collection> edges = graph.getEdges();
```
Neither collection can be modified directly - they provide a "read-only" iterable view of the vertices and edges, and they are subject to the same restrictions as a `Collection` returned by `Collections#unmodifiableCollection()`. The iteration order is guaranteed to be consistent for both collections (default order is insertion order) and both are sortable, though you need to sort using the graph object and not directly on the collection. Something like:```java
graph.sortVertices((v1, v2) -> ...);
```
If you want to access elements by index, you need to convert to an array via the `toArray()` methods or add them to a `List` via eg `new ArrayList<>(graph.getVertices())`.### Algorithms
To access algorithms, use `Graph#algorithms()`. You need to have a specific reference to a subclass of `Graph` (`DirectedGraph` or `UndirectedGraph`) to access algorithms specific to that type of graph.
```java
V u, v;
Graph graph;
UndirectedGraph undirectedGraph;
DirectedGraph directedGraph;Path path = graph.algorithms().findShortestPath(u, v);
UndirectedGraph tree = undirectedGraph.algorithms().findMinimumWeightSpanningTree();
directedGraph.algorithms().topologicalSort();
```Additionally, search algorithms allow a processing step at each step of the algorithm. These can be used for side effects (for example to construct another graph as the algorithm runs), or for deciding whether to skip processing that vertex or terminate the algorithm. For example:
```java
graph.algorithms().breadthFirstSearch(u, step -> System.out.println("processing " + step.vertex()));Graph tree = graph.createNew();
graph.algorithms().depthFirstSearch(u, step -> {
tree.addVertex(step.vertex());
if (step.count() > 0) {
tree.addEdge(step.edge());
}
if (step.depth() > 4) {
step.ignore();
}
});
```## Technical Considerations
While vertices can be any type of `Object`, care must be taken that they are immutable, in the sense that while in the `Graph` their `hashCode()` method always returns the same value, and `equals` is consistent. In general, vertex objects are subject to the same requirements as keys in a java `Map`.
---
## Wiki[See the wiki](https://github.com/earlygrey/simple-graphs/wiki) for more info.