TRAPpy (Trace Analysis and Plotting in Python) is a visualization tool to help analyze data generated on a device. It parses ftrace-like logs and creates in-memory data structures to be used for plotting and data analysis.

$ sudo apt install trace-cmd kernelshark

$ sudo apt install python-pip python-dev

$ sudo apt install libfreetype6-dev libpng12-dev python-nose
$ sudo pip install numpy matplotlib pandas ipython[all]

$ sudo pip install --upgrade trappy

The code of the TRAPpy toolkit with all the supported tests and Notebooks can be cloned from the official GitHub repository with this command:

$ git clone https://github.com/ARM-software/trappy.git

An easy way to test your installation is to use the nosetests command from TRAPpy's home directory:

$ nosetests

If the installation is correct all tests will succeed.

Now launch the ipython notebook server:

$ ipython notebook

This should pop up a browser. If it doesn't, open a web browser and go to http://localhost:8888/tree/

In the doc/ folder there's a 00 - Quick start which describes how to run TRAPpy. Other notebooks in that directory describe other functions of TRAPpy.