421 packages found
Description
Fastest Levenshtein distance implementation in JS.
Keywords
- levenshtein
- distance
- fast
- fastest
- edit
- string
- similarity
- algorithm
- match
- comparison
- fuzzy
- search
- matching
- similar
- View more
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Description
Javascript utility for calculating deep difference, capturing changes, and applying changes across objects; for nodejs and the browser.
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Description
Get the diff type of two semver versions: 0.0.1 0.0.2 → patch
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Description
Measure the difference between two strings using the fastest JS implementation of the Levenshtein distance algorithm
Keywords
- leven
- levenshtein
- distance
- algorithm
- algo
- string
- difference
- diff
- fast
- fuzzy
- similar
- similarity
- compare
- comparison
- View more
Publisher
Description
Finds degree of similarity between strings, based on Dice's Coefficient, which is mostly better than Levenshtein distance.
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Description
Returns an array with only the unique values from the first array, by excluding all values from additional arrays using strict equality for comparisons.
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Description
Visual diff between javascript variables
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Description
a library for matching human-quality input to a list of potential matches using the Levenshtein distance algorithm
Keywords
- closest
- compare
- comparison
- didyoumean
- diff
- difference
- distance
- edit
- find
- fuzzy
- leven
- levenshtein
- match
- matching
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Description
Create an array with values that are present in the first input array but not additional ones
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Description
The lodash method `_.difference` exported as a module.
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Description
Deep diffs two objects, including nested structures of arrays and objects, and return the difference.
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Description
All mismatch between two strings
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Description
Get a pretty output of the original, minified, gzipped size of a string or buffer: 130 B → 91 B → 53 B (gzip)
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Description
A light weight package for object and array manipulation. As well as some utilities for matching text.
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Description
Find the differences between two arrays and their positions
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Description
Compute the mean error (ME) incrementally.
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Description
Compute the mean percentage error (MPE) incrementally.
Keywords
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- average
- avg
- mean
- arithmetic mean
- error
- err
- percentage
- percent
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Description
Compute the mean squared error (MSE) incrementally.
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Compute the absolute difference of two real numbers.
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Description
Subtract two complex numbers.