perftracker 1.0.3

A Python performance tracking package

PerfTracker

PerfTracker is a Python performance tracking package. It allows you to measure and record the execution time of your functions. The package provides a decorator you can add to any function to track its performance.

Features

• Easy to use: Simply add a decorator to your functions.
• Flexible: Set a maximum number of entries to keep for each function.
• Detailed statistics: Get the execution times and calculate the average calls per minute over a certain period.

Installation

Install PerfTracker with pip:

pip install perftracker

Usage

Here is a quick example:

from perftracker import perf, get_stats

@perf(max_entries=100)
def my_function():
    # Your code here...

# Get performance statistics
stats = get_stats()

Methods

• perf(max_entries=None): A decorator to measure and record the execution time of a function. If max_entries is set, it will limit the number of records kept for the function to this value.
• get_stats(): Returns the current Performance instance, which contains all recorded performance data.
• Performance.add(function, exe_time, max_entries=None): Adds an execution time record for a function.
• Performance.get(function): Returns the execution time records for a function.
• Performance.cpm(function, time_delta): Calculates the average calls per minute (CPM) of a function over a certain period.
• Performance.avg_tme(function, time_delta): Calculate the average time a function takes to execute over a certain period.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the terms of the MIT license.