The django-analytical application integrates analytics services into a Django project.
Using an analytics service with a Django project means adding Javascript tracking code to the project templates. Of course, every service has its own specific installation instructions. Furthermore, you need to include your unique identifiers, which then end up in the templates. Not very nice.
This application hides the details of the different analytics services behind a generic interface, and keeps personal information and configuration out of the templates. Its goal is to make the basic set-up very simple, while allowing advanced users to customize tracking. Each service is set up as recommended by the services themselves, using an asynchronous version of the Javascript code if possible.
Currently supported services:
- Chartbeat traffic analysis
- Clickmap visual click tracking
- Clicky traffic analysis
- Crazy Egg visual click tracking
- Gaug.es realtime traffic tracking
- Google Analytics traffic analysis
- GoSquared traffic monitoring
- HubSpot inbound marketing
- KISSinsights feedback surveys
- KISSmetrics funnel analysis
- Mixpanel event tracking
- Olark visitor chat
- Optimizely A/B testing
- Performable web analytics and landing pages
- Reinvigorate visitor tracking
- SnapEngage live chat
- Spring Metrics conversion tracking
- UserVoice user feedback and helpdesk
- Woopra web analytics
The documentation can be found in the docs directory or read
online. The source code and issue tracker are generously hosted by
GitHub.
If you want to help out with the development of django-analytical, by posting detailed bug reports, proposing new features or other analytics services to support, or suggesting documentation improvements, use the issue tracker. If you want to get your hands dirty, great! Clone the repository, make changes and send a pull request. Please do create an issue to discuss your plans.