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.

Note: If you rather like Grafana than writing to a Google spreadsheet, checkout my new project docker-speedtest.

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

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 with default settings (make sure you have a spreadsheet document called "Speedtest"):

   speedtest-to-google
   

   Alternatively you can use the -w switch to set a custom spreadsheet name:

   speedtest-to-google -w Speedtest-document
   

   Here are some other arguments that are available:

   usage: speedtest-charts.py [-h] [-w, --workbookname WORKBOOKNAME] [-b, --bymonth]
   
   Simple Python script to push speedtest results (using speedtest-cli) to a Google Docs spreadsheet
   
   optional arguments:
     -h, --help            show this help message and exit
     -w, --workbookname WORKBOOKNAME
                       Sets the woorkbook name, default is "Speedtest"
     -b, --bymonth         Creats a new sheet for each month named MMM YYYY (ex: Jun 2018)
   

MIT

1.7.0