SpokenNLP

by alibaba-damo-academy Python Version: Current License: Apache-2.0

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

kandi X-RAY | SpokenNLP Summary

SpokenNLP is a Python library. SpokenNLP has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However SpokenNLP build file is not available. You can download it from GitHub.

SpokenNLP

Support

Quality

Security

License

Reuse

Support

SpokenNLP has a low active ecosystem.

It has 29 star(s) with 3 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of SpokenNLP is current.

Quality

SpokenNLP has no bugs reported.

Security

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

License

SpokenNLP is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

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

SpokenNLP has no build file. You will be need to create the build yourself to build the component from source.

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SpokenNLP Key Features

No Key Features are available at this moment for SpokenNLP.

SpokenNLP Examples and Code Snippets

No Code Snippets are available at this moment for SpokenNLP.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install SpokenNLP

You can download it from GitHub.
You can use SpokenNLP 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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