.. DESCtitle

pytimechart
===========
.. DESCshortdesc

Fast graphical exploration and visualisation for linux kernel traces

.. image:: images/pytimechart-overview.png

.. toctree::
   :maxdepth: 4


   userguide
   devguide

.. DESClongdesc

pyTimechart is aimed at helping kernel developer to browse into large scale traces.

Based on very powerful and efficient plotting library *Chaco*, pytimechart UI feels very smooth.

Based on the python language, its plugin based architecture allow developer to very quickly implement
parsing and representation of new trace-event function-trace or trace_printk

Kernel traces are parsed as trace-events, and organised into processes, each process
is displayed in its own line. The x-axis representing the time, process is represented 
as intervals when it is scheduled in the system.

pyTimechart processes are not only *process* in the common unix sense, it can be any group 
of activities in the system. Thus pytimechart display activities of:

* cpuidle states
* cpufreq states
* runtime_pm
* irqs
* tasklets
* works
* timers
* kernel threads
* user process
* whatever there is a plugin for

pyTimechart also represent graphically the wakeup events between two process.