csurfer / Pyheat
Licence: mit
pprofile + matplotlib = Python program profiled as an awesome heatmap!
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pyheat
Profilers are extremely helpful tools. They help us dig deep into code, find and understand performance bottlenecks. But sometimes we just want to lay back, relax and still get a gist of the hot zones in our code.
A picture is worth a thousand words.
So, instead of presenting the data in tabular form, if presented as a heatmap visualization, it makes comprehending the time distribution in the given program much easier and quicker. That is exactly what is being done here !
Demo
Scroll Demo
Features
- Simple CLI interface.
- No complicated setup.
- Heatmap visualization to view hot zones in code.
- Ability to export the heatmap as an image file.
- Ability to scroll, to help view heatmap of large py files.
Setup
Using pip
pip install py-heat
Directly from the repository
git clone https://github.com/csurfer/pyheat.git
python pyheat/setup.py install
Usage
As a command
# To view the heatmap.
pyheat <path_to_python_file>
# To output the heatmap as a file.
pyheat <path_to_python_file> --out image_file.png
pyheat --help
As a module
from pyheat import PyHeat
ph = PyHeat(<file_path>)
ph.create_heatmap()
# To view the heatmap.
ph.show_heatmap()
# To output the heatmap as a file.
ph.show_heatmap('image_file.png')
Contributing
Bug Reports and Feature Requests
Please use issue tracker for reporting bugs or feature requests.
Development
Pull requests are most welcome.
Buy the developer a cup of coffee!
If you found the utility helpful you can buy me a cup of coffee using
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