tuna is a Python profile viewer inspired by the amazing SnakeViz.
Create a runtime profile with
python -mcProfile -o program.prof yourfile.py
or an import profile with
python -X importprofile yourfile.py 2> import.log
and show it with
But tuna doesn't show the whole call tree!
Right, and that's because the whole timed call tree cannot be retrieved from profile data. Python developers made the decision to only store parent data in profiles because it can be computed with little overhead. To illustrate, consider the following program.
import time def a(t0, t1): c(t0) d(t1) return def b(): return a(1, 4) def c(t): time.sleep(t) return def d(t): time.sleep(t) return if __name__ == "__main__": a(4, 1) b()
The root process (
a() which spends 4 seconds in
c() and 1 second
__main__ also calls
b() which calls
a(), this time spending 1 second in
c() and 4 seconds in
d(). The profile, however, will only store that
c() spent a
total of 5 seconds when called from
a(), and likewise
d(). The information that the
program spent more time in
c() when called in
root -> a() -> c() than when called in
root -> b() -> a() -> c() is not present in the profile.
tuna is available from the Python Package Index, so simply type
pip install -U tuna
to install or upgrade.
To run the tuna unit tests, check out this repository and type
To create a new release
tag and upload to PyPi:
tuna is published under the MIT license.