https://github.com/wjbmattingly/youtube-streamlit-link-analysis

A quick repository for using streamlit link analysis component.
https://github.com/wjbmattingly/youtube-streamlit-link-analysis

network-analysis streamlit

Last synced: 6 days ago
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A quick repository for using streamlit link analysis component.

• Host: GitHub
• URL: https://github.com/wjbmattingly/youtube-streamlit-link-analysis
• Owner: wjbmattingly
• Created: 2024-07-12T00:24:22.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-07-14T22:58:11.000Z (7 months ago)
• Last Synced: 2024-11-26T11:48:43.034Z (2 months ago)
• Topics: network-analysis, streamlit
• Language: Python
• Homepage: https://wjbmattingly.com/youtube-streamlit-link-analysis/
• Size: 458 KB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Stramlit Network Analysis App

Click thumbnail to view video!

    

    

    





    
Beginner

    
Intermediate

    
Advanced





[![thumbnail](https://img.youtube.com/vi/s86jz9qVeWA/maxresdefault.jpg)](https://youtu.be/s86jz9qVeWA)

This is a YouTube video on a [Streamlit](https://streamlit.io/) component called [st-link-analysis](https://github.com/AlrasheedA/st-link-analysis?tab=readme-ov-file). It allows you to build good quality network analysis applications in Streamlit very easily.

# Installation

```bash

pip install streamlit st-link-analysis

```

# Quick Code

Make a Python file called streamlit_app.py:

```python

import streamlit as st

from st_link_analysis import st_link_analysis, NodeStyle, EdgeStyle

from st_link_analysis.component.icons import SUPPORTED_ICONS

import json

st.set_page_config(layout="wide")

# Load the data

with open("./data/network.json", "r") as f:

    elements = json.load(f)

node_styles = [

    NodeStyle("COMPANY", "#309A60", "label", "person"),

    NodeStyle("PERSON", "#2A629B", "name", "cloud"),

]

edge_styles = [

    EdgeStyle("FOUNDER", labeled=False, directed=False),

    EdgeStyle("CEO", labeled=True, directed=True),

    EdgeStyle("EMPLOYEE", labeled=False, directed=False),

]

layout = {"name": "cose", "animate": "end", "nodeDimensionsIncludeLabels": False}

st_link_analysis(

    elements, node_styles=node_styles, edge_styles=edge_styles, layout=layout, key="xyz"

)

```

## Build the App

To build and run the app use the following command in your terminal

```bash

streamlit run streamlit_app.py

```

![demo](assets/images/demo.png)

If you want to create the cool looking title, you can use this:

```python

st.markdown(

    """

    

    @import url('https://fonts.googleapis.com/css2?family=Orbitron:wght@400;700&display=swap');

    .center-title {

        font-family: 'Orbitron', sans-serif;

        font-size: 36px;

        color: #00ff7f;

        text-align: center;

        text-shadow: 2px 2px 4px #000000;

        background: linear-gradient(90deg, rgba(0,0,0,0) 0%, rgba(0,255,127,0.1) 50%, rgba(0,0,0,0) 100%);

        border-radius: 10px;

        padding: 10px 0;

        margin: 20px 0;

        letter-spacing: 2px;

    }

    .center-title::after {

        content: "";

        display: block;

        margin: 0 auto;

        width: 60%;

        padding-top: 20px;

        border-bottom: 2px solid #00ff7f;

    }

    

    
Network Analysis App

    """, 

    unsafe_allow_html=True

)


```