This is a text diffing and patching library used for computing differences between text blocks, calculating edit distances, and applying patches to synchronize document versions. It includes a fuzzy text matching engine to locate strings by balancing accuracy with location, and a Levenshtein distance calculator to measure the number of character insertions, deletions, and substitutions between two strings.
The main features of google/diff-match-patch are: Text Diffing and Patching Libraries, Text Patching, Multi-File Patch Synchronization, Text File Comparison, Text Difference Computation, Semantic Boundary Alignment, Human-Readable Diffing, Edit Distance Calculators.
Open-source alternatives to google/diff-match-patch include: maxbachmann/rapidfuzz — This is a Python fuzzy string matching library used for calculating string similarity and edit distances. It serves as… rapidfuzz/rapidfuzz — RapidFuzz is a C++ accelerated Python library providing high-performance string comparison and similarity… sebastianbergmann/diff — This is a sequence comparison library and text difference engine that implements the Myers diff algorithm to identify… winmerge/winmerge — WinMerge is a visual file comparison and merge tool used to identify and synchronize differences between text files,… seatgeek/fuzzywuzzy — Fuzzywuzzy is a Python library and text processing utility designed to calculate similarity scores between strings. It… kpdecker/jsdiff — jsdiff is a JavaScript text diffing library and comparison engine used to compute differences between strings or…
This is a Python fuzzy string matching library used for calculating string similarity and edit distances. It serves as a collection of string distance algorithms, a sequence alignment tool, and an approximate string search engine to measure text similarity. The library provides a wide array of metrics to quantify string closeness, including Levenshtein, Jaro-Winkler, Hamming, and Damerau-Levenshtein distances. It supports similarity analysis through longest common subsequence calculations, token-based comparisons, and weighted scoring to account for differences in content and word order. Bey
RapidFuzz is a C++ accelerated Python library providing high-performance string comparison and similarity calculations. It functions as a fuzzy string matching toolkit used to quantify the difference between text sequences through Levenshtein distance and other edit distance metrics. The library focuses on scalable approximate text matching, enabling the identification and ranking of similar strings within large datasets. It provides specialized utilities for finding the best matches in a collection and generating pairwise similarity matrices. The project covers a broad surface of text proce
This is a sequence comparison library and text difference engine that implements the Myers diff algorithm to identify additions and deletions between two sequences of text or arrays. It functions as a tool for calculating the shortest edit script to determine exactly which elements were modified between two versions of a file. The project provides a unified diff generator to produce standard textual representations of changes for human review, as well as a unified diff parser that converts these strings into structured objects for programmatic analysis. The engine treats text inputs as array
WinMerge is a visual file comparison and merge tool used to identify and synchronize differences between text files, folders, and images. It functions as a diff and patch generator, a visual folder synchronizer, and a hex binary comparator for non-text data. The tool provides specialized comparison modes for diverse content types, including side-by-side webpage rendering for HTML and resource trees, tabular data analysis for delimited files in a grid view, and visual image comparison using overlays and animations. It also supports comparing the contents of compressed archives without manual e