ustc-cas-mock | 模仿 USTC CAS 的程序，用于开发校内网站应用的本地调试。

by taoky Python Version: v0.1 License: MIT

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

kandi X-RAY | ustc-cas-mock Summary

ustc-cas-mock is a Python library. ustc-cas-mock has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

模仿 USTC CAS 的程序，用于开发校内网站应用的本地调试。

Support

Quality

Security

License

Reuse

Support

ustc-cas-mock has a low active ecosystem.

It has 4 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

There are 0 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 ustc-cas-mock is v0.1

Quality

ustc-cas-mock has no bugs reported.

Security

ustc-cas-mock has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

ustc-cas-mock 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

ustc-cas-mock releases are available to install and integrate.

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

Installation instructions are not available. Examples and code snippets are available.

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ustc-cas-mock Key Features

No Key Features are available at this moment for ustc-cas-mock.

ustc-cas-mock Examples and Code Snippets

No Code Snippets are available at this moment for ustc-cas-mock.

Community Discussions

No Community Discussions are available at this moment for ustc-cas-mock.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install ustc-cas-mock

You can download it from GitHub.
You can use ustc-cas-mock 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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