StringDistances.jl
go-edlib
| StringDistances.jl | go-edlib | |
|---|---|---|
| 2 | 1 | |
| 135 | 444 | |
| - | - | |
| 2.3 | 1.8 | |
| 26 days ago | almost 2 years ago | |
| Julia | Go | |
| GNU General Public License v3.0 or later | MIT License |
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StringDistances.jl
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How to do a fuzzy join of two datafrmaes in Julia ?
You'll need: * StringDistances.jl to calculate the distance between the strings. * FlexiJoins.jl to join the dataframes based on a predicate. * A custom function that you write that takes two strings as arguments and returns a boolean for if the strings are "close enough" based on their distance.
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Getting the difference of two strings
If you need to know exactly what the diff is, you might want to use something like github.com/google/diff-match-patch. Otherwise, a simple Levenshtein distance would suffice. This library seems to have a whole bunch of string distances implemented. Hope this helps!
go-edlib
What are some alternatives?
diff-match-patch - Diff Match Patch is a high-performance library in multiple languages that manipulates plain text.
RapidFuzz - Rapid fuzzy string matching in Python using various string metrics
Cadmium - Natural Language Processing (NLP) library for Crystal
null - Nullable Go types that can be marshalled/unmarshalled to/from JSON.
Quickenshtein - Making the quickest and most memory efficient implementation of Levenshtein Distance with SIMD and Threading support
PolyFuzz - Fuzzy string matching, grouping, and evaluation.
Java String Similarity - Implementation of various string similarity and distance algorithms: Levenshtein, Jaro-winkler, n-Gram, Q-Gram, Jaccard index, Longest Common Subsequence edit distance, cosine similarity ...
micro-editor - A modern and intuitive terminal-based text editor
mudderjs - Lexicographically-subdivide the “space” between strings, by defining an alternate non-base-ten number system using a pre-defined dictionary of symbol↔︎number mappings. Handy for ordering NoSQL keys.
gota - Gota: DataFrames and data wrangling in Go (Golang)
NLP-Model-for-Corpus-Similarity - A NLP algorithm I developed to determine the similarity or relation between two documents/Wikipedia articles. Inspired by the cosine similarity algorithm and built from WordNet.
GoQuery - A little like that j-thing, only in Go.