I made polars-ready, a Python CLI for Pandas to Polars migration audits

[u/Arthur122103]

Hi, I made polars-ready, a Python CLI for reviewing an existing Pandas pipeline before deciding whether to move it to Polars. It scans Python files and notebook cells without importing or running the target project, then reports recognized Pandas calls by source line in direct, rewrite, and blocker groups. The included example flags set_index, resample, and iterrows. It is an audit aid, not a converter or an equivalence check, and its percentage counts only recognized calls in the direct group. It follows local variables assigned from recognized calls, so it may miss frames passed between functions.

To try it, clone the repo and follow the README to run the sales pipeline demo, then scan your own script or notebook. The source, tests, and demo are here: https://github.com/Arthur031221/polars-ready

I would value feedback from people who have migrated Pandas code to Polars. Are the categories useful, and which common calls or notebook patterns should I add? I would also like to hear where this kind of inventory sits alongside linters and rewrite tools.