A simple Jupyter Notebook extension to inject Google Analytics tracking code into notebooks and JupyterHub web pages. This extension is based on yuvipanda/nbgoogleanyltics but is extended for larger JupyterHub deployments.
Install the extension as follows:
$ pip install jupyteranalytics
This should both install and enable the jupyteranalytics
extension. Verify with:
$ jupyter nbextension list
$ jupyter serverextension list
There are a couple of reasons why this might not have been installed and enabled automagically. If not, you can manually install and enable as follows:
$ jupyter nbextension install --py --sys-prefix jupyteranalytics
$ jupyter nbextension enable --py --sys-prefix jupyteranalytics
$ jupyter serverextension enable --py --sys-prefix jupyteranalytics
Note that both the automatic and manual methods install jupyteranalytics
to your virtualenv using the --sys-prefix
flag by default. Alternatively you can omit this flag or specify --user
to install the configuration to your user configuration or you can use --system
to install the extension systemwide.
Warning: For Google Analytics tracking to appear on every page (including the directory listing), the configuration must be in nbconfig/common.json
, the pip installer will copy a new configuration to the virtualenv location; ensure that you make a backup of any existing nbconfig.common.json
file. Note that this will not affect user or system installs, which require manual enabling of the extension.
The configuration property required by this extension is a Google Analytics Tracking ID, which can be obtained after you set up a Google Analytics property. This ID looks something like UA-#########-#
.
To quickly get started you can pass this id as a command line parameter:
$ jupyter notebook --GoogleAnalytics.tracking_id="UA-#########-#"
To permenantly enable tracking on all notebook pages, check the path to your configuration using jupyter nbextension list
. Then, in <config_path>/common.json
add the following:
{
"GoogleAnalytics": {
"tracking_id": "UA-#########-#"
}
}
Alternatively you can set the Trackig ID by storing it in the GOOGLE_ANALYTICS_TRACKING_ID
environment variable, this is particularly useful if you're deploying JupyterHub with Docker or Kubernetes.
Note that the notebook logger will indicate if tracking is enabled if it can find the Tracking ID from the configuration, the environment, or the command line (resolved in that order). It will also indicate if the analytics are disabled because no tracking id could be found. Ensure that you have system logging enabled to check that your deployment is correct.