main.py
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Examples
6
BudiBadu
Online Python NetworkX Compiler
NetworkX is the de facto Python package for building, analyzing, and visualizing complex networks. It ships hundreds of algorithms for graph traversal, centrality, connectivity, community detection, flow, and shortest paths, all implemented in pure Python with a focus on clarity and extensibility.[^1]
This compiler loads NetworkX directly in the browser so you can prototype graph logic without a local environment. Create graphs from edge lists, compute paths, examine degrees, run centrality metrics, and serialize structures for visualization. It’s perfect for testing algorithm ideas, preparing teaching material, or inspecting dataset snippets before integrating them into larger workflows. You can also upload and use files or folders directly in your code for graph data processing and network analysis workflows. This compiler is online and completely free to use.
The bundled snippets demonstrate practical workflows: building undirected graphs, finding weighted shortest paths, ranking influencers with centrality, generating spanning trees, running bipartite checks, and exporting data for drawing. Adapt them for network science, recommendation systems, knowledge graphs, or operational routing problems.
Who Should Use This
- Data scientists modeling relationships between users, devices, or events
- Researchers teaching graph theory or prototyping new algorithms
- Engineers building routing, dependency, or social analytics services
- Students practicing algorithms on small graphs without local setup
- Anyone needing a quick sandbox for NetworkX experimentation
Part of the BudiBadu Ecosystem
Specialized Online Python compiler powered by Pyodide WebAssembly. Run Python Library directly in your browser with zero setup.
Pyodide
WebAssembly
Monaco Editor
Python 3.13