kadir

kadir / cloakrs

Public

A blazingly fast PII detection, masking, and anonymization engine written in Rust. Library + CLI.

13
1
100% credibility
Found May 13, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

cloakrs detects and masks personal information such as emails, phone numbers, credit cards, and IDs in text files, logs, JSON, CSV, and SQL dumps.

How It Works

1
📰 Discover privacy protector

You hear about a helpful tool that finds and hides personal details like emails and phones in your files and logs.

2
📥 Get it ready

You download and set it up on your computer in moments, no hassle.

3
🔍 Scan your files

You choose a text file, spreadsheet, or log and check it for sensitive info.

4
✨ See the magic

It instantly spots emails, cards, addresses, and more, then hides them safely with tags or masks.

5
🗂️ Clean folders too

You review entire folders or streams to protect all your data at once.

✅ Privacy secured

Your files are now safe to share, with personal info protected and ready for use.

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Star Growth

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AI-Generated Review

What is cloakrs?

cloakrs is a blazingly fast Rust library and CLI for PII detection, masking, and anonymization across text, logs, JSON, CSV, and SQL dumps. It spots emails, phones, credit cards, IBANs, IPs, URLs, API keys, crypto addresses, and locale-specific IDs like US SSNs or Brazilian CPFs, then applies strategies like redaction or hashing. Developers get a single binary for quick scans via `cloakrs scan file.txt` or library integration for custom pipelines.

Why is it gaining traction?

Its blazingly fast Rust core crushes Python alternatives like Presidio in benchmarks for large inputs, with built-in support for streaming logs and structured formats without heavy deps. Locale bundles and masking options like partial reveal or encrypt make it practical for real-world anonymization, while SARIF output fits CI/CD tools. The CLI's `audit` command recursively scans repos, respecting .gitignore.

Who should use this?

Data engineers anonymizing CSV exports or SQL dumps before sharing. DevOps teams scrubbing logs for PII before storage. Compliance officers auditing repos for leaked credentials or national IDs in pull requests.

Verdict

Promising early project (13 stars, 1.0% credibility score) with strong docs, benchmarks, and tests, but still maturing—watch for more locales and edge cases. Grab it if you need blazingly fast local PII handling over cloud services.

(198 words)

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