Browser History Analytics 2

A Python package that analyzes and visualizes your browser history data with interactive charts and insights.

Features Overview

Preview

Category Analysis: Automatically categorizes websites (Social Media, Development, Entertainment, etc.) Time-based Insights: Hourly and daily browsing patterns with heatmaps Summary Statistics: Key metrics about your browsing habits Interactive Filters: Filter by date range and categories Raw Data View: Search and export your browsing data Multi-browser Support: Works with Chrome, Firefox, Safari, and more

Installation

Option 1: Install from source

git clone https://github.com/arpy8/browser-history-analytics-2.git
cd browser-history-analytics-2
pip install -e .

Option 2: Install directly

pip install browser-history-analytics-2

Usage

Type the following command in your terminal:

pip install browser-history-analytics-2 && bha

This will launch the web application in your default browser.

What You'll See

Dashboard Tabs

1. Home: Main dashboard with visualizations and summary statistics
2. Raw Data: Searchable table with export functionality
3. Additional Info: Detailed insights and browsing habits analytics

Visualizations

• Top Domains: Bar chart of most visited websites
• Activity Timeline: Daily visits over time
• Activity Heatmap: Browsing patterns by hour and day of week
• Category Distribution: Pie chart of website categories
• Hourly Patterns: Bar chart showing peak browsing hours

Requirements

• Python 3.7+
• Browser history data (automatically detected)

Dependencies

• streamlit
• plotly
• pandas
• browser-history

Privacy Note

This tool only reads your local browser history files. No data is sent to external servers – everything runs locally on your machine.

Supported Browsers

• Google Chrome
• Mozilla Firefox
• Safari
• Microsoft Edge
• Opera

Contributing

Feel free to open issues and submit pull requests!

License

MIT License

Author

Arpit Sengar (@arpy8)