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Diff Match Patch is a high-performance library in multiple languages that manipulates plain text.

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A javascript text differencing implementation.

Diff & patch JavaScript objects

Pretty diff to html javascript library (diff2html)

Quick Overview

Diff Match Patch is a library developed by Google that offers robust algorithms for comparing text, computing differences, and applying patches. It provides implementations in multiple programming languages, including JavaScript, Python, Java, C++, and Objective-C, making it versatile for various development environments.

Pros

  • Cross-platform compatibility with implementations in multiple languages
  • Robust algorithms for text comparison and patching
  • Well-documented and maintained by Google
  • Supports Unicode and handles special characters effectively

Cons

  • May be overkill for simple text comparison tasks
  • Performance can be slower for very large texts
  • Learning curve for advanced features and customization
  • Limited community contributions due to Google's ownership

Code Examples

  1. Creating a diff:
import diff_match_patch as dmp_module

dmp = dmp_module.diff_match_patch()
diff = dmp.diff_main("Hello World", "Goodbye World")
dmp.diff_cleanupSemantic(diff)
print(diff)

This code compares two strings and generates a list of differences.

  1. Applying a patch:
import diff_match_patch as dmp_module

dmp = dmp_module.diff_match_patch()
patches = dmp.patch_make("The quick brown fox jumps over the lazy dog.",
                         "The fast brown fox leaps over the lazy dog.")
result = dmp.patch_apply(patches, "The quick brown fox jumps over the lazy dog.")
print(result[0])

This example creates a patch from two strings and applies it to the original text.

  1. Fuzzy search:
import diff_match_patch as dmp_module

dmp = dmp_module.diff_match_patch()
pattern = "fox"
text = "The quick brown fox jumps over the lazy dog."
match = dmp.match_main(text, pattern, 0)
print(f"Match found at index: {match}")

This code performs a fuzzy search for a pattern within a text.

Getting Started

To use Diff Match Patch in your Python project:

  1. Install the library:

    pip install diff-match-patch
    
  2. Import the module in your Python script:

    import diff_match_patch as dmp_module
    
  3. Create an instance of the diff_match_patch class:

    dmp = dmp_module.diff_match_patch()
    
  4. Use the various methods provided by the library, such as diff_main(), patch_make(), or match_main(), as shown in the code examples above.

Competitor Comparisons

7,918

A javascript text differencing implementation.

Pros of jsdiff

  • More active development and maintenance
  • Broader range of diff algorithms and options
  • Better documentation and examples

Cons of jsdiff

  • Larger file size and potentially higher memory usage
  • Less cross-language support (primarily JavaScript-focused)
  • May be overkill for simple text comparison tasks

Code Comparison

diff-match-patch:

dmp = diff_match_patch()
diff = dmp.diff_main("Hello World", "Goodbye World")
dmp.diff_cleanupSemantic(diff)

jsdiff:

import { diffWords } from 'diff';

const diff = diffWords('Hello World', 'Goodbye World');
console.log(diff);

Key Differences

  • diff-match-patch offers a more comprehensive suite of tools for text manipulation, including patching and matching
  • jsdiff provides more granular control over diff algorithms and output formats
  • diff-match-patch has implementations in multiple languages, while jsdiff is primarily for JavaScript environments
  • jsdiff offers more specialized diff functions (e.g., diffWords, diffChars, diffCss)
  • diff-match-patch may be more suitable for complex text synchronization tasks, while jsdiff excels in web-based diff visualizations

Diff & patch JavaScript objects

Pros of jsondiffpatch

  • Specialized for JSON structures, offering more precise diffing and patching for nested objects
  • Provides visual diff rendering options for easy comparison
  • Supports custom object equality checks and property filters

Cons of jsondiffpatch

  • Limited to JSON data structures, less versatile for general text diffing
  • May have higher overhead for simple string comparisons
  • Less widely adopted compared to diff-match-patch

Code Comparison

diff-match-patch:

dmp = diff_match_patch()
patches = dmp.patch_make(text1, text2)
new_text = dmp.patch_apply(patches, text1)[0]

jsondiffpatch:

const delta = jsondiffpatch.diff(obj1, obj2);
jsondiffpatch.patch(obj1, delta);
const reverseDelta = jsondiffpatch.reverse(delta);

Key Differences

  • diff-match-patch is language-agnostic and focuses on text diffing
  • jsondiffpatch is JavaScript-specific and optimized for JSON structures
  • diff-match-patch offers more robust text patching algorithms
  • jsondiffpatch provides better visualization options for object differences

Use Cases

  • diff-match-patch: General text diffing, collaborative editing, version control
  • jsondiffpatch: API response comparison, JSON config management, object change tracking

Pretty diff to html javascript library (diff2html)

Pros of diff2html

  • Generates visually appealing HTML output for diff comparisons
  • Supports multiple programming languages with syntax highlighting
  • Offers a web-based interface for easy integration into web applications

Cons of diff2html

  • More focused on visualization rather than diff algorithm implementation
  • May have higher overhead for simple text comparisons
  • Less suitable for non-visual diff operations or backend processing

Code Comparison

diff-match-patch:

dmp = diff_match_patch()
diff = dmp.diff_main("Hello World", "Goodbye World")
dmp.diff_cleanupSemantic(diff)

diff2html:

const diff2html = require('diff2html');
const diffJson = diff2html.parse(diffInput);
const diffHtml = diff2html.html(diffJson, options);

Key Differences

diff-match-patch focuses on implementing efficient diff algorithms for text comparison, while diff2html specializes in rendering diff results as HTML. diff-match-patch is more suitable for core diff operations, while diff2html excels in presenting diff results visually.

diff-match-patch offers implementations in multiple programming languages, making it versatile for various environments. diff2html, on the other hand, is primarily JavaScript-based and tailored for web applications.

Choose diff-match-patch for robust diff algorithm implementation and cross-language support, or opt for diff2html when prioritizing visual presentation of diff results in web-based contexts.

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README

The Diff Match and Patch libraries offer robust algorithms to perform the operations required for synchronizing plain text.

  1. Diff:
    • Compare two blocks of plain text and efficiently return a list of differences.
    • Diff Demo
  2. Match:
    • Given a search string, find its best fuzzy match in a block of plain text. Weighted for both accuracy and location.
    • Match Demo
  3. Patch:
    • Apply a list of patches onto plain text. Use best-effort to apply patch even when the underlying text doesn't match.
    • Patch Demo

Originally built in 2006 to power Google Docs, this library is now available in C++, C#, Dart, Java, JavaScript, Lua, Objective C, and Python.

Reference

Languages

Although each language port of Diff Match Patch uses the same API, there are some language-specific notes.

A standardized speed test tracks the relative performance of diffs in each language.

Algorithms

This library implements Myer's diff algorithm which is generally considered to be the best general-purpose diff. A layer of pre-diff speedups and post-diff cleanups surround the diff algorithm, improving both performance and output quality.

This library also implements a Bitap matching algorithm at the heart of a flexible matching and patching strategy.

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