// Profile Python import time using profimp and open a waterfall HTML report. Use when investigating slow startup or wanting to identify which imports are most expensive.
Profile the memory usage of a Python script using memray and visualize a temporal flamegraph in the browser. Use when the user wants to investigate memory consumption, find leaks, or understand allocation patterns.
Profile the execution time of a Python script using py-spy and visualize the result with speedscope. Use when the user wants to benchmark performance, find slow code paths, or profile CPU time.
| name | profimp |
| description | Profile Python import time using profimp and open a waterfall HTML report. Use when investigating slow startup or wanting to identify which imports are most expensive. |
| compatibility | Requires profimp (available as a pixi dependency). macOS or Linux. |
| allowed-tools | Bash(profimp:*) Bash(open:*) Bash(xdg-open:*) Bash(python -m webbrowser:*) |
Ask what to profile. Suggest common patterns for this repo:
import spatialdatafrom spatialdata import SpatialDatafrom spatialdata_io import xeniumRun:
profimp --html "<import_stmt>" > /tmp/profimp.html
open /tmp/profimp.htmlxdg-open /tmp/profimp.htmlpython -m webbrowser /tmp/profimp.htmlcp /tmp/profimp.html /tmp/profimp-before.html before re-running.pixi run python -m profimp also works if profimp is not on PATH.