litemon 0.1.1

LiteMon — A lightweight Python function monitoring tool with live metrics.

LiteMon 📊

A lightweight Python function monitoring client decorator & standalone metrics server.

Overview 🚀

LiteMon is a zero‑config, lightweight monitoring tool that tracks your Python function calls, execution times, and performance metrics in real time. It comes with a metrics server live dashboard where you can visualize and analyze metrics instantly.

Features ✨

• 📈 Live Dashboard – view real-time metrics at /metrics
• ⚡ Lightweight – no heavy dependencies, minimal config
• 🧩 Zero Intrusion – just decorate your functions and monitor them
• 🧹 Reset Support — clear metrics instantly via /reset
• 🧑‍💻 Developer Friendly – perfect for debugging, profiling, and demos

Installation 🔧

Install LiteMon directly from GitHub:

pip install git+https://github.com/HabebNawatha/LiteMon.git

Or, if you’re contributing locally:

git clone https://github.com/HabebNawatha/LiteMon.git
cd LiteMon
make install

Quick Start 🏁

1. Start the LiteMon server

litemon --port 8000

2. Use LiteMon in your App

from flask import Flask
from litemon import configure_client, monitor

app = Flask(__name__)

# Configure LiteMon client to push metrics to the server
configure_client(server_url="http://127.0.0.1:8000", push_interval=2)

@monitor
def greet():
    return "Hello! Welcome to the server."

@monitor
def bye():
    return "Goodbye! See you soon."

@app.route('/greet', methods=['GET'])
def greet_route():
    return greet()

@app.route('/bye', methods=['GET'])
def bye_route():
    return bye()

if __name__ == '__main__':
    app.run(port=5050, debug=True)

3. Monitor Metrics Fetch current metrics:

curl http://127.0.0.1:8000/metrics

• Your Flask app → http://127.0.0.1:5050
• LiteMon metrics dashboard → http://127.0.0.1:8000/metrics

4. Reset Metrics Clear all collected metrics:

curl -X POST http://127.0.0.1:8000/reset

Metrics Dashboard 📊

LiteMon’s metrics displays:

• Function call counts
• Average execution times
• Error counts
• Real-time performance tracking Example output:

{
    "greet": {
        "calls": 12,
        "success":12,
        "failures":0,
        "avg_time": 3.21
    },
    "bye": {
        "calls": 12,
        "success":12,
        "failures":0,
        "avg_time": 1.84
    }
}

Why LiteMon? 🤔

• ⚡ Lightweight – minimal dependencies.
• 🧩 Easy to Use – add a simple decorator and run the litemon server.
• 📊 Live Metrics – instantly see function calls and timings.
• 🔌 Decoupled — reuse the same server for multiple apps.
• 🛠 Developer Friendly – flexible, perfect for debugging and profiling.

Contributing 🤝

We welcome contributions!

• Fork the repo
• Commit your changes
• Open a Pull Request 🎉

Author ✍️

Habeb Nawatha
🌐 GitHub • 💼 LinkedIn