iops-profiler 0.1.0

Jupyter magic for measuring I/O operations per second

iops-profiler

A Jupyter IPython magic extension for measuring I/O operations per second (IOPS) in your code.

Installation

You can install iops-profiler directly from PyPI (once published):

pip install iops-profiler

Or install from source:

git clone https://github.com/lincc-frameworks/iops-profiler.git
cd iops-profiler
pip install -e .

Usage

Load the extension in your Jupyter notebook:

%load_ext iops_profiler

Then use the %%iops magic to profile I/O operations in a cell:

%%iops
# Your code here
with open('test.txt', 'w') as f:
    f.write('Hello World' * 1000)

The extension will display a table showing:

• Execution time
• Read/write operation counts
• Bytes read/written
• IOPS (operations per second)
• Throughput (bytes per second)

Platform Support

• Linux/Windows: Uses psutil for per-process I/O tracking
• macOS: Uses fs_usage with privilege elevation (requires password prompt)

Requirements

• Python 3.8+
• IPython/Jupyter
• psutil