semvec/pypi-packages huggingface dataset:
JukeAudio 0.0.11
Python client for the JukeAudio API
Requires Python: >=3.7

# JukeAudio - Python client for Juke Audio API

## Summary
JukeAudio is a Python implemention for the API exposed by the Juke Audio multi-room amplifiers. 

Supported API version are v2.0 (released with the 4.1.2 firmware) and v3.x

## Features
- Read diagnostics information from the amplifier
- Read device information, zones, and inputs
- Set volume and select input for zones
- Enable/disable and set volume for inputs

## Limitations
- Only a single amplifier set-up is supported
- Currently API methods for managing the amplifier, such as changing zone setup or performing diagnostics are not supported

## Contributing

Just fork the repo and open a PR!

## License information

Released under the [MIT License](https://github.com/pkarimov/jukeaudio/blob/main/LICENSE)
browser-history-analytics 0.1.5
A package to visualize your browser history :D
Requires Python: >=3.7

# Browser History Analytics

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

## Features

- 📈 **Interactive Visualizations**: Beautiful charts showing your browsing patterns  
- 🔍 **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

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

### Option 2: Install directly

```bash
pip install browser-history-analytics
```

## Usage
Command prompt: 
```
pip install browser-history-analytics && bha
```
Powershell: 
```
pip install browser-history-analytics ; 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 analysis

### 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`
* `numpy`
* `seaborn`
* `matplotlib`
* `urllib3`

## 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](LICENSE)

## Author

Arpit Sengar ([@arpy8](https://github.com/arpy8))