A powerful regex utility library for validation, extraction, conversion, and formatting
Project description
rexa
rexa is a lightweight and modular Python library for regular expression (regex) utilities, offering easy-to-use tools for validation, extraction, conversion, and formatting. Designed for developers who need powerful yet readable regex functionalities, rexa keeps your code clean and your logic centralized.
✨ Features
- Validate common patterns: email, phone number, IP address, date, etc.
- Extract specific data from unstructured text.
- Convert between different formats (dates, numbers, text).
- Format and normalize messy strings.
- Fully modular and extensible design.
- Written in modern Python with object-oriented architecture.
- Fully tested with
pytest.
🚀 Quick Start
Installation
pip install rexa
Alternatively, if you're cloning manually:
git clone https://github.com/your-username/rexa.git
cd rexa
pip install .
📚 Usage
from rexa import Rex
rex = Rex()
# Validation
rex.Is_Email("user@example.com") # True
rex.Is_Date("2025-08-02") # True
# Extraction
rex.Extract_Emails("Contact: a@b.com, c@d.com")
# ['a@b.com', 'c@d.com']
# Conversion
rex.Convert_DateFormat("02.08.2025", from_sep=".", to_sep="/")
# '02/08/2025'
# Formatting
rex.Slugify("Hello, World!")
# 'hello-world'
🗂️ Modules
validation.py: Input pattern validation functionsextraction.py: Email, phone, and pattern extractionconversion.py: Format transformations for text and numbersformatting.py: Text normalization and cleanup
✅ Tests
All functions are fully tested with pytest. To run tests:
pytest -q
🌐 Compatibility
- Python 3.7+
- No external dependencies (only standard library and
remodule)
🛍️ Feedback & Contributions
Issues, suggestions, and pull requests are welcome!
Start using rexa today to supercharge your regex workflows with elegant and maintainable Python code.
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