islandkit 0.1.0

Your TQDM on dynamic island - Remote progress tracking for Python long-running tasks

IslandKit

Your TQDM on dynamic island - Remote progress tracking for Python long-running tasks.

Overview

IslandKit is a small Python library that extends the tqdm progress bar so that updates can be broadcast in real time via Supabase Realtime. This allows you to monitor the progress of long-running jobs such as data processing or model training remotely on an iOS device.

Key Features

• Fully compatible drop-in replacement for tqdm
• Progress updates are sent to a private Supabase channel
• Works in both synchronous and asynchronous code
• Configuration via environment variables, JSON config file or directly in code
• Optional Python key authentication

Installation

Install the package from PyPI:

pip install islandkit

For development install from the repository:

pip install -e .

Usage

Basic Example

import asyncio
from islandkit import tqdm

async def main():
    # Optionally configure Supabase credentials here
    for i in tqdm(range(100), desc="Processing"):
        await asyncio.sleep(0.1)

asyncio.run(main())

Model Training Example

Check examples/ for a more complete training demo using tqdm with additional metrics.

Configuration

The library reads configuration from environment variables or ~/.islandkit/config.json if it exists. At minimum you need the Supabase URL, an anon key and optionally a Python key for authentication.

Environment variables:

ISLANDKIT_PYTHON_KEY=your-python-key

Development

Run pytest to execute any tests and black to format the code. The project targets Python 3.8 and later.

License

This project is released under the MIT License.

Contributions are welcome!