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Profimp

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. Use when this capability is needed.

tomevault-io Updated
Web & Frontend

File contents

Steps

  1. Ask what to profile. Suggest common patterns for this repo:

    • import spatialdata
    • from spatialdata import SpatialData
    • from spatialdata_io import xenium

  2. Run:

profimp --html "<import_stmt>" > /tmp/profimp.html
  1. Open the report:
    • macOS: open /tmp/profimp.html
    • Linux: xdg-open /tmp/profimp.html
    • Either: python -m webbrowser /tmp/profimp.html

Notes

  • The report is a waterfall chart showing every sub-import and its timing.
  • To compare before/after: cp /tmp/profimp.html /tmp/profimp-before.html before re-running.
  • pixi run python -m profimp also works if profimp is not on PATH.

Source: scverse/spatialdata — distributed by TomeVault.

tomevault-io/skills-registry/tree/main/scverse--spatialdata--spatialdata commit 4242f9ddff

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Frequently asked questions

npx skillmds@latest add tomevault-io/profimp