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Hi,
I develop a new implementation of timeit which should be more reliable:
http://perf.readthedocs.io/en/latest/
* Run 25 processes instead of just 1
* Compute average and standard deviation rather than the minimum
* Don't disable the garbage collector
* Skip the first timing to "warmup" the benchmark
Using the minimum and disable the garbage collector is a bad practice, it is not reliable:
* multiple processes are need to test different random hash functions, since Python hash function is now randomized by default in Python 3
* Linux also randomizes the address space by default (ASLR) and so the exact timing of memory accesses is different in each process
My following blog post "My journey to stable benchmark, part 3 (average)" explains in depth the multiple issues of using the minimum:
https://haypo.github.io/journey-to-stable-benchmark-average.html
My perf module is very yound, it's still a work-in-progress. It should be better than timeit right now. It works on Python 2.7 and 3 (I tested 3.4).
We may pick the best ideas into the timeit module.
See also my article explaining how to tune Linux to reduce the "noise" of the operating system on microbenchmarks:
https://haypo.github.io/journey-to-stable-benchmark-system.html