Is there a visual profiler for Python? [closed]

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I use cProfile now but I find it tedious to write pstats code just to query the statistics data.

I'm looking for 开发者_Python百科a visual tool that shows me what my Python code is doing in terms of CPU time and memory allocation.

Some examples from the Java world are visualvm and JProfiler.

• Does something like this exist?
• Is there an IDE that does this?
• Would dtrace help?

I know about KCachegrind for Linux, but I would prefer something that I can run on Windows/Mac without installing KDE.

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A friend and I have written a Python profile viewer called SnakeViz that runs in a web browser. If you are already successfully using RunSnakeRun SnakeViz may not add that much value, but SnakeViz is much easier to install.

Edit: SnakeViz supports Python 2 and 3 and works on all major systems.

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I'm only aware of RunSnakeRun.

There was also some talk some time ago about an integrated profiler in PyDev (Eclipse), but I don't know if that will ever see the light of day.

Update: Unfortunately it seems that RunSnakeRun is no longer maintained, and it does not support Python 3.

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I use gprof2dot.py. The result looks like this. I use those commands:

  python -m cProfile -o profile.dat my_program.py
  gprof2dot.py -f pstats profile.dat | dot -Tpng -o profile.png

You need graphviz and gprof2dot.py installed. You might like a convenience shell script.

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Spyder also provides a pretty nice gui for cProfile:

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This person created a graphical profile, described here. Maybe you could use that as a starting point for your own work.

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Python Tools for Visual Studio contains a very well done graphical profiler: http://www.youtube.com/watch?v=VCx7rlPyEzE&hd=1

http://pytools.codeplex.com/

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KCacheGrind includes a version called QCacheGrind which does run on Mac OS X and on Windows.

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Try out Snakeviz. Very easy to install (via pip) and it's browser based.

https://jiffyclub.github.io/snakeviz/

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Python Call Graph generates pics very similar to those in maxy's answer. It also shows total time for each function, for some reason it's not reflected in the example graphs.

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I've written a browser-based visualization tool, profile_eye, which operates on the output of gprof2dot.

gprof2dot is great at grokking many profiling-tool outputs, and does a great job at graph-element placement. The final rendering is a static graphic, which is often very cluttered.

Using d3.js it's possible to remove much of that clutter, through relative fading of unfocused elements, tooltips, and a fisheye distortion.

For comparison, see profile_eye's visualization of the canonical example used by gprof2dot. For Python in particular, see a cProfile output example.

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Consider pyflame + flamegraph

Pyflame: A Ptracing Profiler For Python + flamegraph

https://github.com/uber/pyflame

You can trace towards a running python process using pyflame.

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I have used plop and found it to be very light-weight. Gives a quick insight into the perf.