similiars | Match strings to the most similar string

by davidsjoberg R Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | similiars Summary

similiars is a R library. similiars has no bugs, it has no vulnerabilities and it has low support. However similiars has a Non-SPDX License. You can download it from GitHub.

The goal of similars is to match strings to the most similar string in another vector.

Support

Quality

Security

License

Reuse

Support

similiars has a low active ecosystem.

It has 32 star(s) with 1 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 2 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of similiars is current.

Quality

similiars has 0 bugs and 0 code smells.

Security

similiars has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

similiars code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

similiars has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

similiars releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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similiars Key Features

No Key Features are available at this moment for similiars.

similiars Examples and Code Snippets

No Code Snippets are available at this moment for similiars.

Community Discussions

No Community Discussions are available at this moment for similiars.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install similiars

You can install the released version of similiars with:. The main function included is find_most_similar_string which returns a vector of the same length as the vector to be matched against another. The other function is find_string_distance. It returns a list of dataframes for each word and how similar each string is to all matched strings. If you are not sure if there is a good match to be found it is good practise to use this function before using find_most_similar_string. If you want manual control over which should be replaced you can create a case_when code chunk to use in your script. If you find anything you want to improve, submit an issue :).

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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