import_profile

Want to know how much time and memory each of your Python imports costs?

Find out with import_profile!

Just do:

python3 -m import_profile flask sqlalchemy flask_sqlalchemy pandas numpy

And you will get:

flask sqlalchemy flask_sqlalchemy numpy pandas

                   time cpu.user cpu.system memory.uss memory.rss
flask              0.15     0.12       0.02       9.92      13.08
sqlalchemy         0.10     0.09       0.01       5.09       5.22
flask_sqlalchemy   0.07     0.07       0.00       3.45       3.43
numpy              0.12     0.12       0.09       7.52      12.31
pandas             0.35     0.28       0.06      17.78      25.10
*base*             0.00     0.05       0.02       5.96      11.61

time       = seconds of real time since the import trial began
cpu.user   = seconds of CPU time spent in this process
cpu.system = seconds of CPU time spent waiting for the OS kernel, such
             as waiting for file I/O to complete
memory.uss = unique set size - memory taken up by process, minus
             shared objects/DLLs (megabytes)
memory.rss = resident set size (megabytes)