Performance analyzer

Question

It was around 8-9 years ago I saw a tool for Visual Studio (I don't really remember the name) which can visualize the function calls and their performance. I really liked it so I was wondering if there is anything similar to that in Python. Let's say you have three functions:

def first_func():
    ...

def second_func():
    ...
    for i in xrange(10):
        first_function()
    ...

def third_func():
    ...
    for i in xrange(5):
        second_function()
    ...

So, the final report of that tool was something like this (including connection diagrams):

first_func[avg 2ms] <--50 times--< second_func[avg 25ms] <--5 times--< third_func[avg 140ms]

A tool like this would make it easier to find the bottlenecks into a system. Especially for the large systems.

Answer 1

You could use the profiler bundled with the python installation. Python Profiler Link

Answer 2

Line-by-line timing and execution frequency with a profiler:

First, install line_profiler

Second, modify your source code by decorating the function you want to measure with the @profile decorator.

Third, kernprof -l -v yourscript.py

The -l option tells kernprof to inject the @profile decorator into your script’s builtins, and -v tells kernprof to display timing information once you’re script finishes.

output: