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title:
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colorFrom: blue
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colorTo: purple
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sdk: streamlit
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sdk_version: 1.28.
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app_file: app.py
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pinned: false
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---
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title: Website Link Impact Analyzer
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emoji: π
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colorFrom: blue
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colorTo: purple
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sdk: streamlit
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sdk_version: "1.28.1"
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app_file: app.py
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pinned: false
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---
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# π Website Link Impact Analyzer
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**Find out if your page link changes will help or hurt your search rankings**
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## What it does
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This tool helps you test page link changes before you make them by simulating how your link changes might affect your page rankings in search engines.
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## Features
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- π¦ **Traffic Light System** - Clear go/stop/caution recommendations
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- π **Monte Carlo Simulations** - Run multiple tests for reliable results
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- π **Internet Simulation** - Creates realistic web environments for testing
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- π **PageRank Analysis** - Uses advanced algorithms to predict ranking changes
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- π **Powered by Grape** - High-performance graph library for faster analysis
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## How to use
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1. **Prepare your CSV files** with these columns:
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- `FROM` - the page that has the link
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- `TO` - the page being linked to
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2. **Upload two files**:
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- Current page links (your existing setup)
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- Planned page links (your proposed changes)
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3. **Run the analysis** and get clear recommendations
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## Example CSV format
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```csv
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FROM,TO
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mysite.com/about,mysite.com/contact
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mysite.com/blog/post1,partner.com/resource
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partner.com/page,mysite.com/services
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```
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## Technology
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- **Frontend**: Streamlit
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- **Graph Analysis**: Grape (high-performance graph library)
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- **Visualization**: Plotly, Matplotlib, Seaborn
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- **Data Processing**: Pandas, NumPy
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## Performance
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Thanks to Grape's Rust-based backend, this tool can:
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- Handle large networks (10K+ pages)
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- Run complex simulations quickly
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- Provide faster PageRank calculations than traditional tools
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## Support
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If you encounter any issues or have questions, please check the built-in help sections in the app or refer to the documentation.
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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