FastBench
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.
✨ 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 FastBench via pip:
pip install fastbench
Usage
Here'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)
Contributing
Contributions are welcome! Check out the Contribution Guidelines.
License
This project is licensed under the MIT License - see the LICENSE file for details.
1 maintainer
Metadata
1 maintainer
Release files for fastbench 0.1.5
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| fastbench-0.1.5-py3-none-any.whl | Python 3 | none | any | Details for fastbench-0.1.5-py3-none-any.whl |
Total release size: 6.4 kB
Release files / fastbench-0.1.5.tar.gz
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| Tags | Source |
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Release files / fastbench-0.1.5-py3-none-any.whl
| Download URL | fastbench-0.1.5-py3-none-any.whl |
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| Size | 3.2 kB |
| Tags | Python 3 |
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