Profiling: Interactive Python profiler
github.com
Profiling: Interactive Python profiler
1–5 of 5 posts
Re: Profiling: Interactive Python profiler
#2Great 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,...
Re: Profiling: Interactive Python profiler
#3Great 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 use…
There is lsprofcalltree which will use normal cProfile and give you output suitable for kcachegrind (which is awesome)
Re: Profiling: Interactive Python profiler
#4Looks 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?
Re: Profiling: Interactive Python profiler
#5Great 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 use…
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