What does google/diff-match-patch do?

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.

What are the main features of google/diff-match-patch?

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.

What are some open-source alternatives to google/diff-match-patch?

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…

Diff Match Patch | Awesome Repos

Features

Text Diffing and Patching Libraries - A comprehensive library for computing differences between text blocks and applying patches to synchronize document versions.
Text Patching - Provides a comprehensive system for synchronizing document versions through the application of serialized patches.
Multi-File Patch Synchronization - Synchronizes documents by applying a series of changes while accounting for shifts in the source text.
Text File Comparison - Identifies specific additions and deletions required to transform one block of plain text into another.
Text Difference Computation - Determines exactly which characters or words were added, removed, or modified between two versions of text.
Semantic Boundary Alignment - Post-processes raw character differences to group changes into logical word and phrase boundaries for humans.
Human-Readable Diffing - Refines raw text differences to align with word boundaries and phrase blocks for better human readability.
Edit Distance Calculators - Calculates the Levenshtein distance between two strings based on insertions, deletions, and substitutions.
Diff Algorithms - Implements the Myers diff algorithm to compute the shortest edit script between two text blocks.
Patch Generators - Encodes structural text differences into a standardized string format for storage and transmission.
Patch Application - Provides utilities to apply patches to text blocks using a best-effort strategy to handle shifts in the source content.
Patch Parsing - Converts textual diff formats back into machine-readable patches to apply changes to documents.
Semantic Diff Optimizers - Routines that refine raw text differences to align with human-readable word and phrase boundaries.
Fuzzy Matching - Provides a search utility that balances accuracy and location to find the best fuzzy match for a string.
Location-Weighted Matching - Locates text patterns by balancing character accuracy with proximity to a target index for more precise matching.
Text Pattern Matching - Locates exact or fuzzy matches of specific text strings within larger bodies of plain text.
Bit-Parallel Implementations - Implements a bit-vector approach to significantly accelerate Levenshtein distance calculations across text strings.
Difference Set Optimization - Optimizes difference sets by removing coincidental matches to improve human readability and machine efficiency.
Semantic Grouping - Groups fragmented text changes into human-readable blocks to make raw differences more intuitive.
Semantic Refinement - Refines raw text differences to ensure they align with natural human-readable word and phrase boundaries.
Miscellaneous Utilities - Algorithms for synchronizing and merging plain text.

Diff Match Patch के ओपन-सोर्स विकल्प

समान ओपन-सोर्स प्रोजेक्ट्स, जो Diff Match Patch के साथ साझा की गई सुविधाओं के आधार पर रैंक किए गए हैं।

maxbachmann/rapidfuzz
maxbachmann/rapidfuzz
3,958GitHub पर देखें
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
Python
GitHub पर देखें3,958
rapidfuzz/rapidfuzz
rapidfuzz/RapidFuzz
3,731GitHub पर देखें
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
Pythoncpplevenshteinlevenshtein-distance
GitHub पर देखें3,731
sebastianbergmann/diff
sebastianbergmann/diff
7,663GitHub पर देखें
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
PHP
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winmerge/winmerge
WinMerge/winmerge
8,510GitHub पर देखें
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
C++c-plus-pluscompare-filescsv
GitHub पर देखें8,510

Diff Match Patch के सभी 30 विकल्प देखें

Diff Match Patch | Awesome Repos

googlediff-match-patchArchived

Diff Match Patch

Features

Diff Match Patch के ओपन-सोर्स विकल्प

maxbachmann/rapidfuzz

rapidfuzz/RapidFuzz

sebastianbergmann/diff

WinMerge/winmerge

Frequently asked questions

स्टार हिस्ट्री

Frequently asked questions

Diff Match Patch के ओपन-सोर्स विकल्प

maxbachmann/rapidfuzz

rapidfuzz/RapidFuzz

sebastianbergmann/diff

WinMerge/winmerge