tuna is a modern, lightweight Python profile viewer inspired by the amazing SnakeViz. It handles runtime and import profiles, has zero dependencies, uses d3 and bootstrap, and avoids certain errors present in SnakeViz.
Create a runtime profile with
python -mcProfile -o program.prof yourfile.py
or an import
python -X importtime yourfile.py 2> import.log
and show it with
Why tuna doesn't show the whole call tree
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 only displays the part of the timed call tree that can be deduced from the profile:
tuna is available from the Python Package Index, so
pip3 install tuna --user --upgrade
to install or upgrade.
To run the tuna unit tests, check out this repository and type