Analytics service integration for Django projects
The django-analytical application integrates analytics services into a Django project.
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
Heap analytics and events tracking
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
Rating@Mail.ru 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.
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