98tang_daysign | 98堂每日签到

by xjasonlyu Python Version: Current License: MIT

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

kandi X-RAY | 98tang_daysign Summary

98tang_daysign is a Python library. 98tang_daysign has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However 98tang_daysign build file is not available. You can download it from GitHub.

98堂每日签到

Support

Quality

Security

License

Reuse

Support

98tang_daysign has a low active ecosystem.

It has 11 star(s) with 16 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 2 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 98tang_daysign is current.

Quality

98tang_daysign has no bugs reported.

Security

98tang_daysign has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

98tang_daysign 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

98tang_daysign releases are not available. You will need to build from source code and install.

98tang_daysign has no build file. You will be need to create the build yourself to build the component from source.

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98tang_daysign Key Features

No Key Features are available at this moment for 98tang_daysign.

98tang_daysign Examples and Code Snippets

No Code Snippets are available at this moment for 98tang_daysign.

Community Discussions

No Community Discussions are available at this moment for 98tang_daysign.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install 98tang_daysign

You can download it from GitHub.
You can use 98tang_daysign 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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