nameko_test

by sunjianzhou Python Version: Current License: No License

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

kandi X-RAY | nameko_test Summary

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

nameko_test

Support

Quality

Security

License

Reuse

Support

nameko_test has a low active ecosystem.

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

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of nameko_test is current.

Quality

nameko_test has no bugs reported.

Security

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

License

nameko_test 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

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

nameko_test 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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nameko_test Key Features

No Key Features are available at this moment for nameko_test.

nameko_test Examples and Code Snippets

No Code Snippets are available at this moment for nameko_test.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install nameko_test

You can download it from GitHub.
You can use nameko_test 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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