SSRSpeedN | Proxy performance test & export tool

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

kandi X-RAY | SSRSpeedN Summary

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
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            kandi-support Support

              SSRSpeedN has a low active ecosystem.
              It has 57 star(s) with 29 fork(s). There are 1 watchers for this library.
              OutlinedDot
              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

            kandi-Quality Quality

              SSRSpeedN has no bugs reported.

            kandi-Security Security

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

            kandi-License 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.

            kandi-Reuse 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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            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of SSRSpeedN
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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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