https://github.com/ajitagupta/streamlit-cybersecurity-dashboard
https://github.com/ajitagupta/streamlit-cybersecurity-dashboard
cybersecurity dashboard data-visualization python streamlit
Last synced: 12 months ago
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- Host: GitHub
- URL: https://github.com/ajitagupta/streamlit-cybersecurity-dashboard
- Owner: ajitagupta
- License: mit
- Created: 2024-09-12T06:41:43.000Z (almost 2 years ago)
- Default Branch: master
- Last Pushed: 2025-04-20T12:33:40.000Z (about 1 year ago)
- Last Synced: 2025-06-06T04:07:33.627Z (about 1 year ago)
- Topics: cybersecurity, dashboard, data-visualization, python, streamlit
- Language: Python
- Homepage: https://app-cybersecurity-dashboard.streamlit.app/
- Size: 30.3 KB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Cybersecurity Dashboard
A collection of interactive cybersecurity dashboards built with Streamlit, ranging from beginner-friendly to advanced professional use.
## 🚀 Features
This repository contains multiple cybersecurity dashboards:
- Plain-language explanations of common security threats
- Visual displays of incident types and risk levels
- Educational components explaining cybersecurity basics
- Practical security tips for different devices
- Simple filtering options
## 📋 Requirements
- Python 3.8+
- Streamlit 1.10+
- Pandas
- NumPy
- Matplotlib
- Plotly
## ⚙️ Installation
1. Clone this repository:
```bash
git clone https://github.com/ajitagupta/streamlit-cybersecurity-dashboard.git
cd streamlit-cybersecurity-dashboard
```
2. Install the required packages:
```bash
pip install -r requirements.txt
```
## 🚀 Usage
### Running the Beginner Dashboard
```bash
streamlit run cybersecurity_dashboard.py
```
## 📊 Demo Data
The dashboards use synthetic data for demonstration purposes. In a real-world scenario, you would connect these dashboards to:
- SIEM systems
- Vulnerability scanners
- Security logs
- Network monitoring tools
- Threat intelligence feeds
See the data_connectors folder for examples of how to integrate with real data sources.
## 🔧 Modifying the Theme
Update the custom CSS in the styles section of each dashboard file.
## 🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
## 📜 License
This project is licensed under the MIT License - see the LICENSE file for details.
## 🙏 Acknowledgements
Streamlit for the amazing dashboard framework
Plotly for interactive visualizations
OWASP for security best practices
## 📧 Contact
If you have any questions, feel free to reach out:
Author: Ajita Gupta