fuzzy-matcher | A super simple MIT licensed fuzzy matching library | Search Engine library

 by   botfront Python Version: Current License: MIT

kandi X-RAY | fuzzy-matcher Summary

kandi X-RAY | fuzzy-matcher Summary

fuzzy-matcher is a Python library typically used in Database, Search Engine applications. fuzzy-matcher has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

A super simple MIT licensed fuzzy matching library to be used as an MIT alternative to Fuzzy Wuzzy which is GPL licensed. It is much less featured as Fuzzy Wuzzy, so if GPL is not blocking you, you should probably use Fuzzy Wuzzy instead.
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            kandi-support Support

              fuzzy-matcher has a low active ecosystem.
              It has 6 star(s) with 4 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              fuzzy-matcher has no issues reported. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of fuzzy-matcher is current.

            kandi-Quality Quality

              fuzzy-matcher has 0 bugs and 0 code smells.

            kandi-Security Security

              fuzzy-matcher has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              fuzzy-matcher code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              fuzzy-matcher is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              fuzzy-matcher releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed fuzzy-matcher and discovered the below as its top functions. This is intended to give you an instant insight into fuzzy-matcher implemented functionality, and help decide if they suit your requirements.
            • Extract a value from a list of choices
            • Return the appropriate scorer class
            • Return the distance between two values
            • Compute the distance between two values
            • Compute the partial similarity between two values
            • Compute the partial distance between two values
            Get all kandi verified functions for this library.

            fuzzy-matcher Key Features

            No Key Features are available at this moment for fuzzy-matcher.

            fuzzy-matcher Examples and Code Snippets

            No Code Snippets are available at this moment for fuzzy-matcher.

            Community Discussions

            QUESTION

            Fuzzy Matching a list of names in Java
            Asked 2020-Aug-03 at 19:39

            I am trying to use fuzzy-matcher library to match a list of names from our data base. The data is serialized into a java object, wanted to find out how we can map the data into the Document object defined in fuzzy-matcher library

            https://github.com/intuit/fuzzy-matcher

            Our User.java class has these attributes

            • userId
            • firstName
            • lastName
            • address
            • etc ....

            We have over 1000 users in our db, and would like to run these through fuzzy-matcher to help detect duplicates.

            Any code snippet that can help us better understand the library would be helpful

            ...

            ANSWER

            Answered 2020-Aug-03 at 19:39

            Here the User object maps to Document whereas each attributes will need to map to an Element object in fuzzy-matcher

            If you have a Collection of the User object in java, you can convert it to Document/Element objects like this

            Source https://stackoverflow.com/questions/63235916

            QUESTION

            Fuzzy String search but for objects?
            Asked 2020-Mar-22 at 00:55

            There are lots of libraries out there that provide a fuzzy string search functionality, where you can give an input string, and search for "close enough" strings.

            e.g., if you enter the word cat, you may get:

            • cat (100%)
            • hat
            • rat
            • catt
            • etc.

            Is there any sort of functionality, but for objects? An algorithm which takes two objects and compares not whether they are similar or not (this is simple and already done), but rather how similar they are. How similar can be a percent from 0 to 100%, where 100% is an exact match and 0% is not similar at all, or it can be a number, like the https://en.wikipedia.org/wiki/Levenshtein_distance where 0 would be an exact match, and the number would be the "closeness", with no upper bound.

            For example, if I have an object (javascript):

            ...

            ANSWER

            Answered 2020-Mar-22 at 00:55

            If the objects are ultimately composed of serializable values (no class instances or functions), one option would be to stringify them and then use the same sort of "fuzzy search" algorithm on those strings:

            Source https://stackoverflow.com/questions/60786813

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install fuzzy-matcher

            You can download it from GitHub.
            You can use fuzzy-matcher like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            Only ratio and partial_ratio are supported at this time. Note that scores will not be the same as FuzzyWuzzy's.
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            CLONE
          • HTTPS

            https://github.com/botfront/fuzzy-matcher.git

          • CLI

            gh repo clone botfront/fuzzy-matcher

          • sshUrl

            git@github.com:botfront/fuzzy-matcher.git

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