CODEWITHSUNDEEP
pythonprofilingtimeitcprofile
bukzor
bukzor

Reputation: 38532

python: bytecode-oriented profiler

I'm writing a web application (http://www.checkio.org/) which allows users to write python code. As one feedback metric among many, I'd like to enable profiling while running checks on this code. This is to allow users to get a very rough idea of the relative efficiency of various solutions.

I need the profile to be (reasonably) deterministic. I don't want other load on the web server to give a bad efficiency reading. Also, I'm worried that some profilers won't give a good measurement because these short scripts run so quickly. The timeit module shows a function being run thousands of time, but I'd like to not waste server reasources on this small features if possible.

It's not clear which (if any) of the standard profilers meet this need. Ideally the profiler would give units of "interpreter bytecode ticks" which would increment one per bytecode instruction. This would be a very rough measure, but meets the requirements of determinism and high-precision.

Which profiling system should I use?

Upvotes: 4

Views: 589

Answers (2)

Sumer Cip
Sumer Cip

Reputation: 169

I also suggest giving a try to yappi. (http://code.google.com/p/yappi/) In v0.62, it supports CPU time profiling and you can stop the profiler at any time you want...

Upvotes: 0

vartec
vartec

Reputation: 134721

Python's standard profiler module provides deterministic profiling.

Upvotes: 1

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