text_comparison_score_codespark 1.0.0

String similarity for Dart & Flutter. Calculate match percentages using Levenshtein, Damerau-Levenshtein, and Jaro-Winkler. Supports fuzzy matching and case-insensitive comparison.

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

1.0.0 - 2026-06-09

Added

• Damerau-Levenshtein Distance algorithm (ComparisonAlgorithm.damerauLevenshtein).
  • Extends standard Levenshtein distance by treating adjacent character transpositions (e.g. "teh" → "the") as a single edit rather than two, producing noticeably more accurate scores for real-world keyboard typos.
  • Implemented using the Optimal String Alignment (OSA) approach — same O(m×n) time and space complexity as the existing Levenshtein algorithm.
• Added unit tests covering transposition detection, identity, empty-string, and case-insensitive edge cases for the new algorithm.

Documentation

• Updated README.md: added Damerau-Levenshtein to Features, Usage examples with side-by-side output vs standard Levenshtein, and removed it from Future Updates.
• Bumped installation snippet version to ^0.1.0.

0.0.9 - 2026-06-05

Fixed

• Trimmed description in pubspec.yaml from 228 chars to 167 chars to satisfy the pub.dev 180-character limit and avoid a pub points deduction.

0.0.8 - 2026-06-05

Documentation

• Rewrote description in pubspec.yaml to a keyword-rich, SEO-optimised sentence covering fuzzy matching, string similarity, match percentages, Levenshtein, and Jaro-Winkler.
• Added topics to pubspec.yaml (string-similarity, fuzzy-matching, string-comparison, text-similarity, levenshtein-distance) for improved pub.dev search ranking.
• Replaced the one-line README description with a full SEO-focused sentence targeting common search terms (similarity score, fuzzy matching, string distance, Dart, Flutter).
• Moved author / maintainer credit to directly under the package title in README.md.
• Added Use Cases section to README.md listing real-world scenarios: fuzzy search, typo detection, duplicate matching, name matching, data validation, and more.

0.0.7 - 2026-06-03

Documentation

• Added pub.dev version, pub points, pub likes, license, platform, and category badges to README.md.
• Added screenshots gallery to README.md (3 iPhone 15 Plus simulator captures).
• Registered all three demo screenshots in pubspec.yaml so pub.dev displays them on the package page.

Example

• Rewrote example/main.dart as a full Flutter UI demo app showcasing all 8 comparison scenarios with score bars, algorithm badges, and explanatory captions.

0.0.6 - 2024-08-25

Documentation

• Added maintainer credit to README.md.

0.0.5 - 2024-08-25

Added

• Added the Jaro-Winkler Distance algorithm to the TextComparisonScore class.
  • This algorithm provides a string similarity score with more favorable ratings for strings that share a common prefix.
  • Added support for comparing strings using Jaro-Winkler Distance and calculating match percentage.
• Updated README.md with usage examples and details on when to use the Jaro-Winkler algorithm.

0.0.4 - 2024-08-13

Added

• Added caseSensitive parameter to matchPercentage method for optional case sensitivity in string comparison.
• Updated _levenshteinDistance method to handle case sensitivity based on the caseSensitive parameter.

0.0.3 - 2024-08-13

Fixed

• Fixed Dart Formatter Issues.
• Fixed Homepage Issue.

0.0.2 - 2024-08-13

Added

• Added screenshots showcasing example code and output to the documentation for better understanding.
• Improved documentation with additional examples and explanations for various use cases of the TextComparisonScore class.
• Updated README.md with a more detailed usage guide and visual aids.
• Enhanced package performance and code quality with minor optimizations.

0.0.1 - 2024-08-09

Added

• Initial release of the text_comparison_score_codespark package.
• Implemented the TextComparisonScore class with the following features:
  • matchPercentage(String s1, String s2): Returns the match percentage between two strings based on the Levenshtein distance algorithm.
• Provided comprehensive unit tests for various cases including identical strings, completely different strings, and comparisons involving empty strings.
• Detailed documentation and usage examples in the README.md.
• License: MIT.