fastbench 0.1.2

A pure-python based benchmarking package for Python 🤪

TrueBench

TrueBench is a high-performance Python package for benchmarking code execution time, CPU usage, and memory usage. It's implemented in Python for simplicity and provides a simple API for measuring the performance of your Python code.

✨ Features

• 🕰️ Measure the execution time of a function or code block
• 🖥️ Track CPU usage during code execution
• 💾 Monitor memory usage during code execution
• ⚡ Lightweight and fast
• 🤏 Simple and easy-to-use API

📦 Installation

You can install TrueBench via pip:

pip install truebench

🔧 Usage

Here's an example of how to use TrueBench to benchmark Python code:

from truebench import mt, mc, mm

# Define a sample function for testing
def sample_function(n):
    return sum(range(n))

# Test the mt function (measure execution time)
time_taken = mt(sample_function, n=1000000)
print("Time taken:", time_taken)

# Test the mc function (measure CPU usage)
cpu_usage = mc(sample_function, n=1000000)
print("CPU usage:", cpu_usage)

# Test the mm function (measure memory usage)
memory_usage = mm(sample_function, n=1000000)
print("Memory usage:", memory_usage)

🤝 Contributing

Contributions are welcome! Check out the Contribution Guidelines.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.