SSRSpeedN | Proxy performance test & export tool

by OreosLab Python Version: v1.5.2 License: GPL-3.0

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

kandi X-RAY | SSRSpeedN Summary

SSRSpeedN is a Python library. SSRSpeedN has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install SSRSpeedN' or download it from GitHub, PyPI.

Batch speed measuring tool based on Shadowsocks(R) and V2Ray

Support

Quality

Security

License

Reuse

Support

SSRSpeedN has a low active ecosystem.

It has 57 star(s) with 29 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

There are 4 open issues and 5 have been closed. On average issues are closed in 1 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of SSRSpeedN is v1.5.2

Quality

SSRSpeedN has no bugs reported.

Security

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

License

SSRSpeedN is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

SSRSpeedN releases are available to install and integrate.

Deployable package is available in PyPI.

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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SSRSpeedN Key Features

No Key Features are available at this moment for SSRSpeedN.

SSRSpeedN Examples and Code Snippets

No Code Snippets are available at this moment for SSRSpeedN.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install SSRSpeedN

You can install using 'pip install SSRSpeedN' or download it from GitHub, PyPI.
You can use SSRSpeedN 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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