pyota

by msicilia Python Version: Current License: MIT

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

kandi X-RAY | pyota Summary

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

pyota

Support

Quality

Security

License

Reuse

Support

pyota has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

pyota has no issues reported. There are 18 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pyota is current.

Quality

pyota has no bugs reported.

Security

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

License

pyota 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

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

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

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pyota Key Features

No Key Features are available at this moment for pyota.

pyota Examples and Code Snippets

No Code Snippets are available at this moment for pyota.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install pyota

You can download it from GitHub.
You can use pyota 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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