boot_p_c | 阿里第四届天池中间件挑战赛按照官方测评要求启动provider和consumer的脚本

by DQinYuan Python Version: Current License: No License

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

kandi X-RAY | boot_p_c Summary

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

阿里第四届天池中间件挑战赛按照官方测评要求启动provider和consumer的脚本

Support

Quality

Security

License

Reuse

Support

boot_p_c has a low active ecosystem.

It has 4 star(s) with 3 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

boot_p_c has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of boot_p_c is current.

Quality

boot_p_c has no bugs reported.

Security

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

License

boot_p_c does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

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

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

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boot_p_c Key Features

No Key Features are available at this moment for boot_p_c.

boot_p_c Examples and Code Snippets

No Code Snippets are available at this moment for boot_p_c.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install boot_p_c

You can download it from GitHub.
You can use boot_p_c 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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