Good Java graph algorithm library?

java

graph-algorithms

java-libraries

data-structures

byNikita Barsukov·Feb 8, 2025

Get started with JGraphT, a reliable Java graph library. Easily integrate it using Maven:

<dependency>
    <groupId>org.jgrapht</groupId>
    <artifactId>jgrapht-core</artifactId>
    <version>1.5.1</version>
</dependency>

Here's how to implement Dijkstra's shortest path in a concise manner:

import org.jgrapht.alg.shortestpath.DijkstraShortestPath;
import org.jgrapht.graph.DefaultEdge;
import org.jgrapht.graph.SimpleGraph;

var graph = new SimpleGraph<String, DefaultEdge>(DefaultEdge.class);
graph.addVertex("A"); graph.addVertex("B"); graph.addEdge("A", "B");
// Fasten your seatbelts, next stop "B"
System.out.println("Path A to B: " + DijkstraShortestPath.findPathBetween(graph, "A", "B"));

Simple and straight to the point for your immediate graph problem-solving needs.

Navigating Algorithms for Graph

When it comes to advanced algorithms, here's your toolkit:

Minimum Spanning Tree (Kruskal/Prim): JGraphT has got you covered.
Visualization: JGraphT pairs well with JUNG for visual wizardry.
Shortest Path Problems: JGraphT and Google Guava play nicely together.
Advanced Features: Apache Commons Graph provides deep computational capabilities.

Remember, it's about picking the right tool for the job. Consider the richness of algorithms, robustness in production, or graphical capabilities in your decision-making process.

Battle-Tested Libraries Ready to Deploy

Looking for production-proven libraries? Here are the top contenders:

JGraphT: Offers diverse algorithms with a user-friendly API.
JUNG: Boasts a wide array of algorithms and top-tier visualization features.
Apache Commons Graph: Versatile, with a plethora of practical algorithm implementations.

Project requirements should be the deciding factor between these powerful candidates, considering algorithm diversity, visualization requirements, and data structure preferences.

Streamlined Graph Management

Achieve efficient graph management with:

Vertex and Edge Manipulation: JGraphT makes addition and management a breeze.
Graph Storage Techniques: Prefuse's matrix structure offers a unique storage method.
Open-Source Coding Freedom: JUNG2's flexible layout algorithms come under a BSD license.

Don't overlook Eclipse Zest — with SWT independence, its built-in layout algorithms cater to a multitude of needs.

Explore More: Beyond the Normative Libraries

While JGraphT and JUNG are old friends, the adventurous coder shall find:

yWorks: Proprietary library with superior diagramming solutions.
BFG: Renowned for graphical visualisations and layout algorithms.

Dive into open-source issues (like Apache Commons Graph’s issue SANDBOX-458) for a refresher on available algorithms. Keep pace with the Java graph library scene.

Learn by Example

Learning gets better with examples. Here's an appetizer from JGraphT:

// Create complete graph
CompleteGraphGenerator<String, DefaultEdge> completeGenerator = 
  new CompleteGraphGenerator<>(4);
SimpleGraph<String, DefaultEdge> completeGraph = 
  new SimpleGraph<>(DefaultEdge.class);
completeGenerator.generateGraph(completeGraph, 
  new ClassBasedVertexFactory<>(String.class), null);
  // It's the network's latest sensation: a fully connected graph! 🎉

This make it wallet-sized treasures for developers. Prefuse’s approach might need some adaptation, but that different perspective enriches the learning experience.

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