# Rizzo-AI-Academy/rizzo-pii

> Local-first tool that anonymizes personal data in Italian legal documents before sending them to cloud LLMs, with reversible local restoration of the real values.

- Magnitude: 2.3 out of 10 — Steady
- Stars: 1,089 total · +8 stars today, ≈ 17 by evening
- Star trust: star growth looks organic
- Category: Security · Language: Python · License: MIT · Created: 2026-06-28 · Last push: 2026-09-25
- GitHub: https://github.com/Rizzo-AI-Academy/rizzo-pii · Homepage: https://rizzo-ai-academy.github.io/rizzo-pii/ · Page: https://gitnova.dev/en/r/Rizzo-AI-Academy/rizzo-pii

## Useful for

- Anonymize a contract before sending it to ChatGPT while keeping the ability to restore names and codes in the reply
- Validate codice fiscale, partita IVA and IBAN in a document using built-in checksum verification
- Deploy a local privacy layer on a CPU-only laptop for handling sensitive documents under GDPR

## Why it’s here

- 8 stars so far today, about 17 expected by the end of the day. The usual pace is 7 per day, so that's 2.4× as much.
- Over the last two days the pace is 3.4× that of the previous week and a half.
- GitHub Trending Python today: #11, +26 stars.
- Recent forks include notable developers: @fabriziosalmi (232 followers).

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 80
- Issues and pull requests: 133
- Watchers: 12
- Average over the last week: 11 per day
- Usual pace: 7 per day
- Stars in the last hour (measured): 0
- Latest release: v2.0.0 (2026-08-08)

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-08-30 … 2026-09-28: 2, 6, 3, 5, 2, 3, 3, 0, 50, 31, 17, 9, 11, 5, 6, 4, 5, 4, 3, 5, 3, 3, 16, 10, 2, 7, 8, 7, 24, 8

## Spotted in now

- GitHub Trending Python today: #11, +26 stars

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-09-28 13:02 UTC, updated every 30 minutes.