This library is interesting because it give a nice output in the form of dynamic html graphs.

One example is better than a thousand words, in Jupyter Notebook:

# call this typically on your first cell
%load_ext snakeviz

%snakeviz single_line_method_profiling()

# or you may want to profile a whole block of code
dope_list = [1,2,3,4,5,6]
for i in list:

This will open the result embedded directly in the notebook. If you want to see it in your favorite navigator, use %snakeviz --new-tab or even efficient %snakeviz -t.

That’s it, this way you’ll receive the output shown in the two following pictures. First one is the graphical view (which is totally interactive when in html mode) and a result table, which is dynamic according to the graphical view.


Source: SnakeViz documentation#

Result table

Source: SnakeViz documentation#


Don’t take the time displayed as real elapsed time but more as a relative reference.

profiling snakeviz Python