coldpass

Browse / Agent tools

ShivSupane/fliprate

Measure and reduce how often your NLP model changes its answer on messy romanized Hindi, Marathi, Tamil, Telugu & other Indian-language text — with a live web console, CLI, and 428K+ spelling variant rules from real data.

  • CLI

Works.Tested on 2026-10-27. From the README alone, on Linux with Haiku and Linux with Luna.

A generic image is available for sharing.Download

What we checked

Does it run from the README?Yes. Running in 1:00 on a clean Linux box.The run
Does it do what the README says?1 of 1 claims held up.Evidence

“Normalize noisy Romanized text into a cleaned form”

Expected mala product avadla nahi. Got mala product avadla nahi.

Which setups did we try?Works with Haiku, Luna.Setups

Linux / Haiku: works, Oct 27, rev ae17e4f. Linux / Luna: works, Oct 27, rev ae17e4f.

Needs keys, a login or a browser?No.Details

None seen

Is it safe to run?No unexpected network or file activity found in these checksWhat we saw

No problems traced to this repository code in these checks; a short run cannot prove safety.

Reviewed as expected for a test run: attempted writes that failed, so nothing was written.

Full event, path and process lists for each observed setup:

A quiet run is not a safety guarantee.

Is it maintained?Maintained · 48 commits in 90 days · 6 merged PRs in 90 days · 0 open issues · 0 open PRsActivity

actively maintained: last commit 0 days ago; 48 commits and 6 merged PRs in 90 days; 0 open issues, 0 open PRs; latest release 2026-10-27

Recent commits on GitHub

Can I show this on my README?Copy the badge.Badge
![coldpass](https://coldpass.dev/badge/ShivSupane--fliprate.svg)

The run

Oct 27 · rev ae17e4f
0:000:301:00

Independent test, not endorsed by the project.