spsim | Python module that implements a spelling similarity measure

by luismsgomes Python Version: 0.1.2 License: MIT

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

kandi X-RAY | spsim Summary

spsim is a Python library. spsim has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install spsim' or download it from GitHub, PyPI.

SpSim is a Python module that implements a spelling similarity measure for identifying cognates across languages, taking into account spelling differences that are characteristic of each language pair.

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Quality

Security

License

Reuse

Support

spsim has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

spsim has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of spsim is 0.1.2

Quality

spsim has no bugs reported.

Security

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

License

spsim is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

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spsim Key Features

No Key Features are available at this moment for spsim.

spsim Examples and Code Snippets

No Code Snippets are available at this moment for spsim.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install spsim

You can install using 'pip install spsim' or download it from GitHub, PyPI.
You can use spsim 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

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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