semvec/pypi-packages huggingface dataset:
mask-pii 0.2.0
Lightweight, customizable PII masking for emails and phone numbers.
License: MIT
Requires Python: >=3.8
Keywords: pii, masking, email, phone, privacy

# mask-pii (Python)

Version: 0.2.0

A lightweight, customizable Python library for masking Personally Identifiable Information (PII) such as **email addresses** and **phone numbers**.

It is designed to be safe, fast, and easy to integrate into logging or data processing pipelines.

Official website: https://finitefield.org/en/oss/mask-pii
Developed by: [Finite Field, K.K.](https://finitefield.org)

## Features

- **Email Masking:** Masks the local part while preserving the domain (e.g., `a****@example.com`).
- **Global Phone Masking:** Detects international phone formats and masks all digits except the last 4.
- **Customizable:** Change the masking character (default is `*`).
- **Zero Unnecessary Dependencies:** Pure Python implementation.

## Installation

From PyPI:

```bash
pip install mask-pii
```

From a local checkout:

```bash
pip install -e ./python
```

## Usage

```python
from mask_pii import Masker

masker = (
    Masker()
    .mask_emails()
    .mask_phones()
    .with_mask_char("#")
)

input_text = "Contact: alice@example.com or 090-1234-5678."
output = masker.process(input_text)

print(output)
# => "Contact: a####@example.com or ###-####-5678."
```

## Configuration

The `Masker` class uses a builder-style API. By default, `Masker()` performs **no masking** (pass-through).

### Builder Methods

| Method | Description | Default |
| --- | --- | --- |
| `mask_emails()` | Enables detection and masking of email addresses. | Disabled |
| `mask_phones()` | Enables detection and masking of global phone numbers. | Disabled |
| `with_mask_char(char)` | Sets the character used for masking (e.g., `"*"`, `"#"`, `"x"`). | `"*"` |

### Masking Logic Details

**Emails**
- **Pattern:** Detects standard email formats.
- **Behavior:** Keeps the first character of the local part and the domain. Masks the rest of the local part.
- **Example:** `alice@example.com` -> `a****@example.com`
- **Short Emails:** If the local part is 1 character, it is fully masked (e.g., `a@b.com` -> `*@b.com`).

**Phones (Global Support)**
- **Pattern:** Detects sequences of digits that look like phone numbers (supports international `+81...`, US `(555)...`, and hyphenated `090-...`).
- **Behavior:** Preserves formatting (hyphens, spaces, parentheses) and the **last 4 digits**. All other digits are replaced.
- **Examples:**
  - `090-1234-5678` -> `***-****-5678`
  - `+1 (800) 123-4567` -> `+* (***) ***-4567`
  - `12345` -> `*2345`
transformer-engine-mdl 0.0.1
Defensive package registration.
License: MIT
Requires Python: >=3.6

# transformer-engine-mdl

**NOTICE: Defensive Package Registration**

To provide internal services and prevent new enterprise users from accidentally installing the wrong package, this package is treated as a placeholder package and a friendly reminder is given during installation.

## Contact

For inquiries about this package, please contact the insiders.
tpp-notebook-extension 0.0.1
Defensive package registration.
License: MIT
Requires Python: >=3.6

# tpp-notebook-extension

**NOTICE: Defensive Package Registration**

To provide internal services and prevent new enterprise users from accidentally installing the wrong package, this package is treated as a placeholder package and a friendly reminder is given during installation.

## Contact

For inquiries about this package, please contact the insiders.
tpp-notebook-components 0.0.1
Defensive package registration.
License: MIT
Requires Python: >=3.6

# tpp-notebook-components

**NOTICE: Defensive Package Registration**

To provide internal services and prevent new enterprise users from accidentally installing the wrong package, this package is treated as a placeholder package and a friendly reminder is given during installation.

## Contact

For inquiries about this package, please contact the insiders.