Bipartite Graph Checker – A Simple Python Desktop App for Graph Analysis
Bipartite Graph Checker – A Simple Python Desktop App for Graph Analysis
Understanding whether a graph is bipartite is one of the most important concepts in graph theory. Bipartite graphs are used in scheduling, team formation, social networks, matching problems, and many real-life applications. To make this concept easier for students, researchers, and developers, I created a Python-based Bipartite Graph Checker Desktop Application that anyone can run directly in Visual Studio Code.
In this blog, I’ll explain what the app does, how it works, and how you can use it for your projects or studies.
🔍 What Is a Bipartite Graph?
A bipartite graph is a graph whose nodes can be divided into two separate groups such that:
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No two nodes inside the same group are connected.
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Every edge always connects a node from Group A to Group B.
If a graph can be colored using two colors such that no two adjacent nodes share the same color, then the graph is bipartite.
This is exactly what our app checks!
🖥 About the Bipartite Graph Checker App
This desktop application is built using:
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Tkinter – for the graphical user interface
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NetworkX – for graph creation and bipartite checking logic
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Matplotlib – to display the graph visually
The interface is clean, simple, and beginner-friendly. You don't need any advanced technical knowledge to use it.
✨ Key Features
✔ Add Nodes Easily
You can add as many nodes as you want with a simple input box.
✔ Add Edges Between Nodes
Connect two nodes to form edges and shape your graph quickly.
✔ Visualize the Graph
The app displays the graph using Matplotlib, making it easier to understand connections.
✔ Check if Graph Is Bipartite
This is the highlight of the app.
The program:
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Runs a BFS-based two-coloring algorithm
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Determines if the graph is bipartite
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If it is bipartite, shows both node groups
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If not, shows an error message
✔ User-Friendly Buttons
All tasks are performed with simple button clicks.
🛠 How the App Works Internally
The app uses NetworkX’s is_bipartite() function and a two-color coloring system to determine if the graph can be divided into two valid sets.
If the graph is bipartite:
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Nodes are split into Set 1 and Set 2
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A pop-up window shows both sets clearly
If the graph is not bipartite:
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The app warns the user that the graph fails bipartite conditions
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This happens when the graph contains an odd-length cycle
The logic is fast, accurate, and works for any number of nodes or edges.
📌 How to Use the App
Step 1: Install Required Libraries
Open terminal and run:
Step 2: Run the Python File
Open the file in Visual Studio Code and run:
Step 3: Start Building Your Graph
Use the buttons:
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Add Node
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Add Edge
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Show Graph
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Check Bipartite
The app will guide you step by step.
🎯 Why This App Is Useful
This tool is perfect for:
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College students learning graph theory
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Teachers explaining bipartite concepts
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Competitive programmers
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Data science and AI students
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Anyone who works with network analysis
It removes the manual work and delivers instant results with a graphical representation.
📥 Want to Add More Features?
Here are some upgrades I can help you build:
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Save and load graphs
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Remove nodes and edges
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Export graph image
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BFS and DFS traversal viewer
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Graph coloring visualizer
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Cycle detection
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Shortest path finder
If you need any of these features, just ask!
🎉 Final Thoughts
The Bipartite Graph Checker Python App is a practical tool for quickly understanding and verifying complex graph structures. Whether you're a beginner or an advanced learner, this tool makes bipartite checking simple, visual, and interactive.
Feel free to use it in your projects, demonstrations, or learning sessions!
import tkinter as tk
from tkinter import messagebox, simpledialog
import networkx as nx
import matplotlib.pyplot as plt
class BipartiteGraphChecker:
def __init__(self, root):
self.root = root
self.root.title("Bipartite Graph Checker App")
self.graph = nx.Graph()
tk.Button(root, text="Add Node", width=25, command=self.add_node).pack(pady=5)
tk.Button(root, text="Add Edge", width=25, command=self.add_edge).pack(pady=5)
tk.Button(root, text="Show Graph", width=25, command=self.show_graph).pack(pady=5)
tk.Button(root, text="Check Bipartite", width=25, command=self.check_bipartite).pack(pady=5)
tk.Button(root, text="Exit", width=25, command=root.quit).pack(pady=5)
def add_node(self):
node = simpledialog.askstring("Add Node", "Enter node name:")
if node:
self.graph.add_node(node)
messagebox.showinfo("Success", f"Node '{node}' added!")
def add_edge(self):
u = simpledialog.askstring("Add Edge", "Enter first node:")
v = simpledialog.askstring("Add Edge", "Enter second node:")
if u and v:
self.graph.add_edge(u, v)
messagebox.showinfo("Success", f"Edge '{u} - {v}' added!")
def show_graph(self):
plt.figure(figsize=(6, 5))
pos = nx.spring_layout(self.graph)
nx.draw(self.graph, pos, with_labels=True, node_size=800, font_size=10)
plt.title("Graph Visualization")
plt.show()
def check_bipartite(self):
try:
is_bip = nx.is_bipartite(self.graph)
if is_bip:
color_map = nx.bipartite.color(self.graph)
set1 = [node for node in color_map if color_map[node] == 0]
set2 = [node for node in color_map if color_map[node] == 1]
messagebox.showinfo(
"Bipartite Result",
f"Graph is Bipartite!\n\nSet 1: {set1}\nSet 2: {set2}"
)
else:
messagebox.showerror("Not Bipartite", "Graph is NOT bipartite!")
except nx.NetworkXError:
messagebox.showerror("Error", "Graph must be connected or have no isolated nodes!")
if __name__ == "__main__":
root = tk.Tk()
app = BipartiteGraphChecker(root)
root.mainloop()
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