speedchart | Chart your network speed | Command Line Interface library

 by   ruralocity Python Version: Current License: MIT

kandi X-RAY | speedchart Summary

kandi X-RAY | speedchart Summary

speedchart is a Python library typically used in Utilities, Command Line Interface applications. speedchart has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However speedchart build file is not available. You can download it from GitHub.

Chart your network speed, as reported by speedtest-cli. Inspired by speedtest-cron. Written in Python to play as nicely as possible with Raspberry Pi, and also for me to get more practice with the language and its ecosystem (I normally write Ruby).
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            kandi-support Support

              speedchart has a low active ecosystem.
              It has 6 star(s) with 0 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              speedchart has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of speedchart is current.

            kandi-Quality Quality

              speedchart has 0 bugs and 0 code smells.

            kandi-Security Security

              speedchart has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              speedchart code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              speedchart is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              speedchart releases are not available. You will need to build from source code and install.
              speedchart has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed speedchart and discovered the below as its top functions. This is intended to give you an instant insight into speedchart implemented functionality, and help decide if they suit your requirements.
            • Show an index
            • Return the data for download
            • Parse the speed test results
            • Parse all speed test files
            • Create a Flask app
            Get all kandi verified functions for this library.

            speedchart Key Features

            No Key Features are available at this moment for speedchart.

            speedchart Examples and Code Snippets

            No Code Snippets are available at this moment for speedchart.

            Community Discussions

            QUESTION

            Is it possible with Chart js or which chart Library can provide this type of chart?
            Asked 2020-Oct-28 at 09:19

            I need to create this type of chart, I tried this with chart js but not able to create the exactly same output,

            What I am able to create is this codepen with these settings,

            ...

            ANSWER

            Answered 2020-Oct-28 at 06:15

            Here is a reproduction of your image in the Highcharts. Feel free to customize it more for your needs.

            Demo: https://jsfiddle.net/BlackLabel/76frnqc1/

            Source https://stackoverflow.com/questions/64559344

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

            Vulnerabilities

            No vulnerabilities reported

            Install speedchart

            You can download it from GitHub.
            You can use speedchart 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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            CLONE
          • HTTPS

            https://github.com/ruralocity/speedchart.git

          • CLI

            gh repo clone ruralocity/speedchart

          • sshUrl

            git@github.com:ruralocity/speedchart.git

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