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stringzy

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A versatile string manipulation library providing a range of text utilities for JavaScript and Node.js applications.

github.com/Samarth2190/stringzy

Samarth2190/stringzy

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CHANGELOG All notable changes to the `stringzy` package will be documented in this file. ============================================================================= Version 2.2.1 - 2025-06-04 ----------------------------------------------------------------------------- ADDED: - Added npmignore file to exclude unnecessary files from the package ============================================================================= Version 2.2.0 - 2025-06-04 ----------------------------------------------------------------------------- ADDED: - Added new utility functions: - `removeDuplicates`: Removes duplicate words from a string - Added the stringzy banner to the README ============================================================================= Version 2.1.0 - 2025-05-31 ----------------------------------------------------------------------------- ADDED: - Added new utility functions: - `removeWords`: - `isDate`: Validates if a string is a valid date - Added contributors section in README - Added new badges for open source and PRs ============================================================================= Version 2.0.1 - 2025-05-23 ----------------------------------------------------------------------------- FIXED: - Fixed README.MD table of contents for transformations. ============================================================================= Version 2.0.0 - 2025-05-22 ----------------------------------------------------------------------------- ADDED: - Added a dynamic list of APIs in README - Divided the package into 4 modules-transformations, validations, formatting and analysis - Added many new APIs - `camelCase`: Converts a string to camel case - `kebabCase`: Converts a string to kebab case - `snakeCase`: Converts a string to snake case - `titleCase`: Converts a string to title case - `constantCase`: Converts a string to constant case - `pascalCase`: Converts a string to pascal case - `isURL`: Validates if a string is a valid URL - `isEmail`: Validates if a string is a valid email address - `isEmpty`: Checks if a string is empty or contains only whitespace - `wordCount`: Counts the number of words in a string - `characterCount`: Counts the number of characters in a string - `characterFrequency`: Calculates the frequency of each character in a string - `capitalize`: Capitalizes the entire string - `formatNumber`: Formats a number with commas as thousands separators - `formatPhone`: Formats a phone number to a standard format ============================================================================= Version 1.1.2 - 2025-05-15 ----------------------------------------------------------------------------- ADDED: - Improved documentation with comprehensive README - Enhanced examples for all utility functions FIXED: - Resolved documentation rendering issues on npm website ============================================================================= Version 1.1.1 - 2025-05-15 ----------------------------------------------------------------------------- CHANGED: - Updated package metadata FIXED: - Minor bug fixes in string handling edge cases ============================================================================= Version 1.1.0 - 2025-05-15 ----------------------------------------------------------------------------- ADDED: - Added extensive API documentation CHANGED: - Improved performance for `toSlug` function - Enhanced error handling across all utility functions ============================================================================= Version 1.0.0 - 2025-05-14 ----------------------------------------------------------------------------- ADDED: - Initial release with four core utility functions: - `truncateText`: Truncates text to a specified length with optional suffix - `toSlug`: Converts text to URL-friendly slug format - `capitalizeWords`: Capitalizes the first letter of each word - `removeSpecialChars`: Removes special characters from text with optional replacement