SnakeViz#
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
%%snakeviz
dope_list = [1,2,3,4,5,6]
for i in list:
perform_complex_operation(i)
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#
Source: SnakeViz documentation#
Note
Don’t take the time displayed as real elapsed time but more as a relative reference.