Metadata-Version: 2.4
Name: speed-tester-pro
Version: 1.0.0
Summary: A lightweight and elegant decorator to profile Python function execution time.
Home-page: https://github.com/MuhammadMohsin/speed-tester-pro
Author: Muhammad Mohsin
Author-email: muhammad.mohsin.developer@gmail.com
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Software Development :: Testing
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license-file
Dynamic: requires-python
Dynamic: summary

# ⚡ Speed Tester Pro

[![PyPI version](https://img.shields.io/pypi/v/speed-tester-pro.svg?color=blue)](https://pypi.org/project/speed-tester-pro/)
[![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](https://opensource.org/licenses/MIT)
[![Python versions](https://img.shields.io/pypi/pyversions/speed-tester-pro.svg)](https://pypi.org/project/speed-tester-pro/)

A highly lightweight, zero-dependency Python decorator to monitor and profile the execution time of your functions instantly. Developed for engineers who need quick performance insights without heavy setups.

## 🚀 Installation

Install the package directly via pip:

```bash
pip install speed-tester-pro
💻 Quick Start
Simply import the decorator and place it above any function you want to profile.

Python
from speed_tester_pro import check_speed
import time

@check_speed
def fetch_database_records():
    # Simulating a heavy database query
    print("Fetching records...")
    time.sleep(1.2)
    return "Records loaded!"

# Call your function as usual
fetch_database_records()
Console Output:

Plaintext
Fetching records...
⏱️ [Speed Test] 'fetch_database_records' executed in 1.2001 seconds.
✨ Features
Zero Dependencies: Built entirely with Python's standard library.

Plug & Play: Requires only a single line of code (@check_speed).

Non-Intrusive: Returns your function's original output without modifying its behavior.

📄 License
This project is MIT licensed. Copyright (c) 2026 Muhammad Mohsin.
