# PyValidata - Python Data Validation Package
PyValidata is a Python package for data validation, created to ensure the integrity and quality of data in Python projects. With PyValidata, you can easily validate data types, numeric ranges, string lengths, null values, and apply custom validation rules.
# Release notes Version 0.1.4
New functions released, which are more advanced and useful to developers:
Validation functions:
- Added credit card
- Added phone number
- Added url path
- Added hex color
- Added jwt validation
- Mac address
- XML
- Postal code
- Username
- IP Address
# Features
Data type validation: Check if data elements belong to the expected data types.
Numeric range validation: Validate whether numeric data falls within specified ranges.
String length validation: Ensure that string data meets specified length criteria.
Null and missing value detection: Check for null or missing values in data.
Pattern matching: Validate data based on specific patterns or regular expressions.
Custom validation rules: Define and apply your custom validation rules to the data.
Note that this is just Pyvalidata's current functionality, and more will be added as more feedback is given.
# Installation
You can install PyValidata using pip:
`pip install pyvalidata`
# Documentation
Please simply call the help function via `pyvalidata.help()` for full documentation on how to use this package. The documentation goes in detail and provides examples of each function, all while being easy to follow.
# Contributing
We welcome contributions! If you find a bug, have a suggestion, or want to contribute in any other way, please open an issue or submit a pull request.
# License
PyValidata is open-source software licensed under the MIT License.
Thank you for considering PyValidata! We hope it simplifies and enhances your data validation process in your Python projects. Happy validating!
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"description": "# PyValidata - Python Data Validation Package\n\n\nPyValidata is a Python package for data validation, created to ensure the integrity and quality of data in Python projects. With PyValidata, you can easily validate data types, numeric ranges, string lengths, null values, and apply custom validation rules.\n\n\n# Release notes Version 0.1.4\n\nNew functions released, which are more advanced and useful to developers:\n\nValidation functions:\n\n- Added credit card \n- Added phone number\n- Added url path \n- Added hex color\n- Added jwt validation\n- Mac address\n- XML\n- Postal code\n- Username\n- IP Address\n\n# Features\nData type validation: Check if data elements belong to the expected data types.\n\nNumeric range validation: Validate whether numeric data falls within specified ranges.\n\nString length validation: Ensure that string data meets specified length criteria.\n\nNull and missing value detection: Check for null or missing values in data.\n\nPattern matching: Validate data based on specific patterns or regular expressions.\n\nCustom validation rules: Define and apply your custom validation rules to the data.\n\nNote that this is just Pyvalidata's current functionality, and more will be added as more feedback is given.\n\n\n# Installation\nYou can install PyValidata using pip:\n `pip install pyvalidata`\n# Documentation\nPlease simply call the help function via `pyvalidata.help()` for full documentation on how to use this package. The documentation goes in detail and provides examples of each function, all while being easy to follow.\n\n\n\n# Contributing\nWe welcome contributions! If you find a bug, have a suggestion, or want to contribute in any other way, please open an issue or submit a pull request.\n\n# License\nPyValidata is open-source software licensed under the MIT License.\n\n\nThank you for considering PyValidata! We hope it simplifies and enhances your data validation process in your Python projects. Happy validating! \n\n\n",
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