oralhistory | Dutch Speech Recognition webservice

by opensource-spraakherkenning-nl Python Version: v0.4.0 License: AGPL-3.0

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

kandi X-RAY | oralhistory Summary

oralhistory is a Python library. oralhistory has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Dutch Speech Recognition webservice

Support

Quality

Security

License

Reuse

Support

oralhistory has a low active ecosystem.

It has 0 star(s) with 1 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 3 have been closed. On average issues are closed in 166 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of oralhistory is v0.4.0

Quality

oralhistory has no bugs reported.

Security

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

License

oralhistory is licensed under the AGPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

oralhistory releases are available to install and integrate.

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

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oralhistory Key Features

No Key Features are available at this moment for oralhistory.

oralhistory Examples and Code Snippets

No Code Snippets are available at this moment for oralhistory.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install oralhistory

You can download it from GitHub.
You can use oralhistory 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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