Profiling: Interactive Python profiler

https://github.com/what-studio/profiling

by shinvee • 12 years ago

73 4 12 years ago

Monkeyget• 12 years ago

Great project!

I've done some python code optimization recently and I was fairly disappointed in the profiling options; more precisely the profiling visualization options. Standard python provides pstats, which is basic and has an awkward command based GUI. I've tried runsnakerun and snakevis which do provide a nice graphical view but little else.

Easy to use, hierarchical list, clear output. I like this. I never used live profiling before and I can already see where it could be super handy.

Remarks:

-how do I pass arguments to my program. profiling seems to absorb all parameters

-Is it possible to access standard input/output when live profiling?

-Is it possible to reset the profiling statistics when live profiling? Eg.: I profile a webserver, profile a request, reset stats, profile another request,...

-I'd love to see an integration with IPython. Interactive optimization could be great: I profile some code, tweak it, profile again,...

fijal• 12 years ago

There is lsprofcalltree which will use normal cProfile and give you output suitable for kcachegrind (which is awesome)

perimo• 12 years ago

For IPython-based profiling, I find the %timeit and %memit magic commands invaluable. This post has a good overview: http://pynash.org/2013/03/06/timing-and-profiling.html

georgem12• 12 years ago

Looks cool, but I don't understand the remote profiling server. Does that mean profiling server code on requests or is it a server that can let you view profiling results?

Profiling: Interactive Python profiler

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