quexpl/google-speedtest-chart

:chart_with_upwards_trend: Python script to create a beautiful Google Chart out of your speedtest results

google-speedtest-chart

Simple Python script to push speedtest results (using speedtest-cli) to a Google Docs spreadsheet. I use this to measure and track my upload and download bandwith:

You can find an interactive demo (actually productive) version of the chart by clicking the image above.

Requirements

• Google account
• Python 3.X
• speedtest-cli
• pygsheets

Installation and usage

1. Clone and open repository:

   git clone https://github.com/frdmn/google-speedtest-chart.git
   cd google-speedtest-chart
   

2. Install dependencies:

   pip install -r requirements.txt
   

3. Symlink it into your $PATH:

   ln -s speedtest-charts.py /usr/local/bin/speedtest-to-google
   

4. Authorization

   1. 📖 Authorize pygsheets
   2. 📖 Create an OAuth token, download the credential file and and store it as credentials.json

5. Create a spreadsheet dedicated to collect your speedtest results:

   📖 docs/Create-a-spreadsheet-to-collect-data.md

6. Run the script, you can pass a custom spreadsheet name by setting SPREADSHEET environment variable:

   SPREADSHEET="Speedtest-document" speedtest-to-google
   

License

MIT

Version

1.5.0