autospeedtest | 10Gbps인터넷을100Mbps로만든통신3사의노력에의해만들어진레포지토리

by jwkim101201 Python Version: Current License: MIT

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

kandi X-RAY | autospeedtest Summary

autospeedtest is a Python library. autospeedtest 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.

SK, KT, LGU+ 등의 이통사 병폐로 인해 만들어진 5분에 한번씩 자동으로 SpeedTest하는 스크립트입니다. ~~???: 속도가 느려질때마다 전화해주세요~~.

Support

Quality

Security

License

Reuse

Support

autospeedtest has a low active ecosystem.

It has 6 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of autospeedtest is current.

Quality

autospeedtest has no bugs reported.

Security

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

License

autospeedtest 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

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

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

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autospeedtest Key Features

No Key Features are available at this moment for autospeedtest.

autospeedtest Examples and Code Snippets

No Code Snippets are available at this moment for autospeedtest.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install autospeedtest

You can download it from GitHub.
You can use autospeedtest 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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