Best Way to Build Network Analysis App in Python with Streamlit and st-link-analysis - Easy Tutorial

Introducing st-link-analysis: A Game-Changer for Streamlit
Now that we understand the importance of network analysis, let's explore an exciting new tool that's making it easier than ever to build network analysis applications in Streamlit: st-link-analysis.

This Streamlit component allows developers to create high-quality, interactive network visualizations with just a few lines of code. Here's why it's generating so much excitement:

Easy Installation: Simply install using pip
Customizable Visuals: Easily style nodes and edges with different colors, icons, and labels
Interactive Features: Users can zoom, pan, and interact with the network graph in real-time
Streamlit Integration: Seamlessly integrates with other Streamlit components for a cohesive app experience
Performance: Handles moderately sized networks (up to about 300 nodes) smoothly

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[DeadlyDragon_]

Network engineer here. Would love to see you build an app that traces a path through several devices based on source / destination ip addresses.

[hamzaaljamaai]

Great video!!
What program do u use for screen recording in this?

[ShainaD]

This video is so intriguing!! I'm very new at trying to figure this out. Is there a way to link items based on a system id or name using several different SQL Server Tables? Connecting all items with 2 or 3 degrees of separation from that search number?

[mailatvarun]

Getting following error, Can you help - ImportError: cannot import name 'NodeStyle' from partially initialized module 'st_link_analysis' (most likely due to a circular import)