poky/scripts/pybootchartgui
Richard Purdie 020911ab59 scripts/pybootchart: Port to python3
This updates the pybootchart code (used for viewing build timing profiles)
to use python3. The bulk of the changes are to use gi instead of pygtk, i.e.
port from gtk+2 to gtk+3.

The main change is to make the bootchart widget inherit gtk.Scrollable
and change the way the scrollbars are implemented to match the new method
upstream. The drawing code used cairo already so can remain unchanged,

(From OE-Core rev: 949144681ad7f536732169351cab6d0612e9c566)

Signed-off-by: Richard Purdie <richard.purdie@linuxfoundation.org>
2019-05-08 22:56:45 +01:00
..
pybootchartgui scripts/pybootchart: Port to python3 2019-05-08 22:56:45 +01:00
AUTHORS pybootchartgui: Import pybootchartgui 0.14.5 2013-11-18 12:44:06 +00:00
COPYING pybootchartgui: Import pybootchartgui 0.14.5 2013-11-18 12:44:06 +00:00
MAINTAINERS pybootchartgui: Import pybootchartgui 0.14.5 2013-11-18 12:44:06 +00:00
NEWS pybootchartgui: Import pybootchartgui 0.14.5 2013-11-18 12:44:06 +00:00
pybootchartgui.py scripts/pybootchart: Port to python3 2019-05-08 22:56:45 +01:00
README.pybootchart pybootchartgui: Import pybootchartgui 0.14.5 2013-11-18 12:44:06 +00:00

			    PYBOOTCHARTGUI
			   ----------------

pybootchartgui is a tool (now included as part of bootchart2) for
visualization and analysis of the GNU/Linux boot process. It renders
the output of the boot-logger tool bootchart (see
http://www.bootchart.org/) to either the screen or files of various
formats. Bootchart collects information about the processes, their
dependencies, and resource consumption during boot of a GNU/Linux
system. The pybootchartgui tools visualizes the process tree and
overall resource utilization.

pybootchartgui is a port of the visualization part of bootchart from
Java to Python and Cairo.

Adapted from the bootchart-documentation:

  The CPU and disk statistics are used to render stacked area and line
  charts. The process information is used to create a Gantt chart
  showing process dependency, states and CPU usage.

  A typical boot sequence consists of several hundred processes. Since
  it is difficult to visualize such amount of data in a comprehensible
  way, tree pruning is utilized. Idle background processes and
  short-lived processes are removed. Similar processes running in
  parallel are also merged together.

  Finally, the performance and dependency charts are rendered as a
  single image to either the screen or in PNG, PDF or SVG format.


To get help for pybootchartgui, run

$ pybootchartgui --help

This code was originally hosted at:
	http://code.google.com/p/pybootchartgui/