Cadmium VS StringDistances.jl

Compare Cadmium vs StringDistances.jl and see what are their differences.

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Cadmium StringDistances.jl
- 2
201 134
-0.5% -
0.0 2.3
over 2 years ago 19 days ago
Crystal Julia
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Cadmium

Posts with mentions or reviews of Cadmium. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Cadmium yet.
Tracking mentions began in Dec 2020.

StringDistances.jl

Posts with mentions or reviews of StringDistances.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-30.
  • How to do a fuzzy join of two datafrmaes in Julia ?
    3 projects | /r/Julia | 30 Jan 2023
    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.
  • Getting the difference of two strings
    2 projects | /r/Julia | 9 Apr 2021
    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!

What are some alternatives?

When comparing Cadmium and StringDistances.jl you can also consider the following projects:

ai4cr - Artificial Intelligence for Crystal (based on https://github.com/SergioFierens/ai4r)

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

shainet - SHAInet - a pure Crystal machine learning library

Quickenshtein - Making the quickest and most memory efficient implementation of Levenshtein Distance with SIMD and Threading support

crystal-fann - FANN (Fast Artifical Neural Network) binding in Crystal

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 ...

grey_matter - Grey Matter is a basic artificial neural network library for Crystal.

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.

mxnet.cr - MXNet (AI/ML) bindings for the Crystal language.

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.

marionette - Selenium alternative for Crystal. Browser manipulation without the Java overhead.

go-edlib - 📚 String comparison and edit distance algorithms library, featuring : Levenshtein, LCS, Hamming, Damerau levenshtein (OSA and Adjacent transpositions algorithms), Jaro-Winkler, Cosine, etc...