In my team we use a tool we developed called TRAPpy [1] to parse the output of ftrace (and systrace) into Pandas DataFrames, which can then be plotted and used

In my team we use a tool we developed called TRAPpy [1] to parse the output of ftrace (and systrace) into Pandas DataFrames, which can then be plotted and used for rich analysis of kernel behaviour. We also integrate it into a rather large wider toolkit called LISA [2] which can do things like describe synthetic workloads, run them on remote targets, collect traces and then parse them with TRAPpy to analyse and visualise the kernel behavior. We mainly use it for scheduler, cpufreq and thermal governor development. It also does some automated testing. [1] https://github.com/ARM-software/trappy https://github.com/ARM-software/trappy [2] https://github.com/ARM-software/lisa https://github.com/ARM-software/lisa