django-analytical

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
• Facebook Pixel advertising analytics
• Gaug.es real time web analytics
• Google Analytics traffic analysis
• GoSquared traffic monitoring
• Hotjar analytics and user feedback
• HubSpot inbound marketing
• Intercom live chat and support
• KISSinsights feedback surveys
• KISSmetrics funnel analysis
• Lucky Orange analytics and user feedback
• Mixpanel event tracking
• Olark visitor chat
• Optimizely A/B testing
• Performable web analytics and landing pages
• Matomo (formerly Piwik) open source web analytics
• [email protected] web analytics
• SnapEngage live chat
• Spring Metrics conversion tracking
• UserVoice user feedback and helpdesk
• Woopra web analytics
• Yandex.Metrica web analytics

Documentation and Support

The documentation can be found in the docs directory or read online. The source code and issue tracker are generously hosted by GitHub. Bugs should be reported there, whereas for lengthy chats and coding support when implementing new service integrations you're welcome to use our Gitter chat room.

How To Contribute

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 place a pull request. Creating an issue to discuss your plans is useful.

This is a Jazzband project. By contributing you agree to abide by the Contributor Code of Conduct and follow the guidelines.