📚 gograph - Awesome Go Library for Science and Data Analysis

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A golang generic graph library that provides mathematical graph-theory and algorithms.

🏷️ Science and Data Analysis
📂 Libraries for scientific computing and data analyzing.
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Detailed Description of gograph

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gograph

golang generic graph package

GoGraph is a lightweight, efficient, and easy-to-use graph data structure implementation written in Go. It provides a versatile framework for representing graphs and performing various operations on them, making it ideal for both educational purposes and practical applications.




Table of Contents

Install

Use go get command to get the latest version of the gograph:

go get github.com/hmdsefi/gograph

Then you can use import the gograph to your code:

package main

import "github.com/hmdsefi/gograph"

How to Use

Graph

gograph contains the Graph[T comparable] interface that provides all needed APIs to manage a graph. All the supported graph types in gograph library implemented this interface.

type Graph[T comparable] interface {
GraphType

AddEdge(from, to *Vertex[T], options ...EdgeOptionFunc) (*Edge[T], error)
GetAllEdges(from, to *Vertex[T]) []*Edge[T]
GetEdge(from, to *Vertex[T]) *Edge[T]
EdgesOf(v *Vertex[T]) []*Edge[T]
RemoveEdges(edges ...*Edge[T])
AddVertexByLabel(label T, options ...VertexOptionFunc) *Vertex[T]
AddVertex(v *Vertex[T])
GetVertexByID(label T) *Vertex[T]
GetAllVerticesByID(label ...T) []*Vertex[T]
GetAllVertices() []*Vertex[T]
RemoveVertices(vertices ...*Vertex[T])
ContainsEdge(from, to *Vertex[T]) bool
ContainsVertex(v *Vertex[T]) bool
}

The generic type of the T in Graph interface represents the vertex label. The type of T should be comparable. You cannot use slices and function types for T.

Directed

directed-graph

graph := New[int](gograph.Directed())

graph.AddEdge(gograph.NewVertex(1), gograph.NewVertex(2))
graph.AddEdge(gograph.NewVertex(1), gograph.NewVertex(3))
graph.AddEdge(gograph.NewVertex(2), gograph.NewVertex(2))
graph.AddEdge(gograph.NewVertex(3), gograph.NewVertex(4))
graph.AddEdge(gograph.NewVertex(4), gograph.NewVertex(5))
graph.AddEdge(gograph.NewVertex(5), gograph.NewVertex(6))

Acyclic

acyclic-graph

graph := New[int](gograph.Directed())

graph.AddEdge(gograph.NewVertex(1), gograph.NewVertex(2))
graph.AddEdge(gograph.NewVertex(2), gograph.NewVertex(3))
_, err := graph.AddEdge(gograph.NewVertex(3), gograph.NewVertex(1))
if err != nil {
// do something
}

Undirected

undirected-graph

// by default graph is undirected
graph := New[string]()

graph.AddEdge(gograph.NewVertex("A"), gograph.NewVertex("B"))
graph.AddEdge(gograph.NewVertex("A"), gograph.NewVertex("D"))
graph.AddEdge(gograph.NewVertex("B"), gograph.NewVertex("C"))
graph.AddEdge(gograph.NewVertex("B"), gograph.NewVertex("D"))

Weighted

weighted-edge

graph := New[string]()

vA := gograph.AddVertexByLabel("A")
vB := gograph.AddVertexByLabel("B")
vC := gograph.AddVertexByLabel("C")
vD := gograph.AddVertexByLabel("D")

graph.AddEdge(vA, vB, gograph.WithEdgeWeight(4))
graph.AddEdge(vA, vD, gograph.WithEdgeWeight(3))
graph.AddEdge(vB, vC, gograph.WithEdgeWeight(3))
graph.AddEdge(vB, vD, gograph.WithEdgeWeight(1))
graph.AddEdge(vC, vD, gograph.WithEdgeWeight(2))

weighted-vertex

graph := New[string]()
vA := gograph.AddVertexByLabel("A", gograph.WithVertexWeight(3))
vB := gograph.AddVertexByLabel("B", gograph.WithVertexWeight(2))
vC := gograph.AddVertexByLabel("C", gograph.WithVertexWeight(4))

graph.AddEdge(vA, vB)
graph.AddEdge(vB, vC)

Traverse

Traverse package provides the iterator interface that guarantees all the algorithm export the same APIs:

type Iterator[T comparable] interface {
	HasNext() bool
	Next() *gograph.Vertex[T]
	Iterate(func(v *gograph.Vertex[T]) error) error
	Reset()
}

This package contains the following iterators:

License

Apache License, please see LICENSE for details.