pyperfcheck 0.1.1

A high-performance benchmarking library for Python

PyPerfCheck – Easy Benchmarking for Python Code

PyPerfCheck is a high-performance benchmarking library for Python. It allows you to measure and compare the execution time, CPU usage, and memory usage of Python functions. It supports synchronous, asynchronous, multi-threaded, and multi-processed functions, making it a versatile tool for performance analysis.

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Features

• Benchmark Synchronous Functions: Measure execution time, CPU usage, and memory usage.
• Benchmark Asynchronous Functions: Supports async functions for I/O-bound tasks.
• Multi-Threading Benchmarking: Test functions using multiple threads.
• Multi-Processing Benchmarking: Test functions using multiple processes.
• Visual Reports: Generate bar charts for execution time, CPU usage, and memory usage.
• Easy-to-Use: Simple API with decorators and helper methods.

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Installation

Install PyPerfCheck using pip:

pip install pyperfcheck

Quick Start

1. Import the library:

   from pyperfcheck import PyPerfCheck
   

2. Benchmark a function:
   Use the benchmark decorator to measure execution time, CPU, and memory usage for any function.

   @PyPerfCheck.benchmark
   def example_function():
       # Your code here
       time.sleep(1)
   

3. Compare multiple functions:
   You can benchmark and compare the performance of multiple functions using compare.

   def function1():
       time.sleep(1)
   
   def function2():
       time.sleep(2)
   
   PyPerfCheck.compare([function1, function2])
   

4. Generate Visual Reports:
   PyPerfCheck can also generate bar charts to visualize the benchmark results.

   # After calling PyPerfCheck.compare(), the visual report will be shown
   

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License

MIT License. See LICENSE for details.