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 !

Features

⭐ Simple CLI interface.

⭐ No complicated setup.

⭐ Heatmap visualization to view hot zones in code.

Setup

With pip installed on your system, execute

Using pip

pip install py-heat

Directly from the repository

git clone https://github.com/csurfer/pyheat.git
python pyheat/setup.py install

Usage

To view heatmap of a python file use:

pyheat --pyfile <path_to_python_file>

To view help use:

pyheat --help

Contributing

Bug Reports and Feature Requests

Please use issue tracker for reporting bugs or feature requests.

Development

Pull requests are most welcome.