FastBench 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.
- ⏱️ 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
You can install FastBench via pip:
pip install fastbenchHere's an example of how to use FastBench to benchmark Python code:
from fastbench 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)Contributions are welcome! Check out the Contribution Guidelines.
This project is licensed under the MIT License - see the LICENSE file for details.