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141 lines
5.8 KiB
ReStructuredText
141 lines
5.8 KiB
ReStructuredText
django-analytical |latest-version|
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==================================
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|build-status| |coverage| |python-support| |license| |jazzband|
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The django-analytical application integrates analytics services into a
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Django_ project.
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.. start docs include
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Using an analytics service with a Django project means adding JavaScript
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tracking code to the project templates. Of course, every service has
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its own specific installation instructions. Furthermore, you need to
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include your unique identifiers, which then end up in the templates.
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Not very nice.
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This application hides the details of the different analytics services
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behind a generic interface, and keeps personal information and
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configuration out of the templates. Its goal is to make the basic
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set-up very simple, while allowing advanced users to customize tracking.
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Each service is set up as recommended by the services themselves, using
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an asynchronous version of the JavaScript code if possible.
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.. end docs include
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.. |latest-version| image:: https://img.shields.io/pypi/v/django-analytical.svg
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:alt: Latest version on PyPI
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:target: https://pypi.org/project/django-analytical/
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.. |build-status| image:: https://github.com/jazzband/django-analytical/workflows/Test/badge.svg
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:target: https://github.com/jazzband/django-analytical/actions
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:alt: GitHub Actions
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.. |coverage| image:: https://codecov.io/gh/jazzband/django-analytical/branch/main/graph/badge.svg
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:alt: Test coverage
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:target: https://codecov.io/gh/jazzband/django-analytical
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.. |python-support| image:: https://img.shields.io/pypi/pyversions/django-analytical.svg
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:target: https://pypi.org/project/django-analytical/
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:alt: Python versions
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.. |license| image:: https://img.shields.io/pypi/l/django-analytical.svg
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:alt: Software license
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:target: https://github.com/jazzband/django-analytical/blob/main/LICENSE.txt
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.. |jazzband| image:: https://jazzband.co/static/img/badge.svg
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:alt: Jazzband
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:target: https://jazzband.co/projects/django-analytical
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.. _`Django`: http://www.djangoproject.com/
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Currently Supported Services
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----------------------------
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* `Chartbeat`_ traffic analysis
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* `Clickmap`_ visual click tracking
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* `Clicky`_ traffic analysis
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* `Crazy Egg`_ visual click tracking
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* `Facebook Pixel`_ advertising analytics
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* `Gaug.es`_ real time web analytics
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* `Google Analytics`_ traffic analysis
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* `GoSquared`_ traffic monitoring
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* `Heap`_ analytics and events tracking
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* `Hotjar`_ analytics and user feedback
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* `HubSpot`_ inbound marketing
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* `Intercom`_ live chat and support
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* `KISSinsights`_ feedback surveys
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* `KISSmetrics`_ funnel analysis
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* `Lucky Orange`_ analytics and user feedback
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* `Mixpanel`_ event tracking
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* `Olark`_ visitor chat
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* `Optimizely`_ A/B testing
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* `Performable`_ web analytics and landing pages
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* `Matomo (formerly Piwik)`_ open source web analytics
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* `Rating\@Mail.ru`_ web analytics
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* `SnapEngage`_ live chat
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* `Spring Metrics`_ conversion tracking
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* `UserVoice`_ user feedback and helpdesk
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* `Woopra`_ web analytics
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* `Yandex.Metrica`_ web analytics
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.. _`Chartbeat`: http://www.chartbeat.com/
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.. _`Clickmap`: http://clickmap.ch/
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.. _`Clicky`: http://getclicky.com/
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.. _`Crazy Egg`: http://www.crazyegg.com/
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.. _`Facebook Pixel`: https://developers.facebook.com/docs/facebook-pixel/
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.. _`Gaug.es`: http://get.gaug.es/
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.. _`Google Analytics`: http://www.google.com/analytics/
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.. _`GoSquared`: http://www.gosquared.com/
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.. _`Heap`: https://heapanalytics.com/
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.. _`Hotjar`: https://www.hotjar.com/
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.. _`HubSpot`: http://www.hubspot.com/
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.. _`Intercom`: http://www.intercom.io/
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.. _`KISSinsights`: http://www.kissinsights.com/
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.. _`KISSmetrics`: http://www.kissmetrics.com/
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.. _`Lucky Orange`: http://www.luckyorange.com/
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.. _`Mixpanel`: http://www.mixpanel.com/
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.. _`Olark`: http://www.olark.com/
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.. _`Optimizely`: http://www.optimizely.com/
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.. _`Performable`: http://www.performable.com/
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.. _`Matomo (formerly Piwik)`: https://matomo.org
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.. _`Rating\@Mail.ru`: http://top.mail.ru/
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.. _`SnapEngage`: http://www.snapengage.com/
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.. _`Spring Metrics`: http://www.springmetrics.com/
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.. _`UserVoice`: http://www.uservoice.com/
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.. _`Woopra`: http://www.woopra.com/
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.. _`Yandex.Metrica`: http://metrica.yandex.com
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Documentation and Support
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-------------------------
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The documentation can be found in the ``docs`` directory or `read
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online`_. The source code and issue tracker are generously `hosted by
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GitHub`_.
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.. _`read online`: https://django-analytical.readthedocs.io/
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.. _`hosted by GitHub`: https://github.com/jazzband/django-analytical
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.. _`Gitter chat room`: https://gitter.im/jazzband/django-analytical
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How To Contribute
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-----------------
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.. start contribute include
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If you want to help out with the development of django-analytical, by
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posting detailed bug reports, proposing new features or other analytics
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services to support, or suggesting documentation improvements, use the
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`issue tracker`_. If you want to get your hands dirty, great! Clone
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the repository, make changes and place a `pull request`_. Creating an
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issue to discuss your plans is useful.
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At the end, don't forget to add yourself to the `list of authors`_ and
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update the `changelog`_ with a short description of your contribution.
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We want you to stand out from the crowd as an open source superstar! ✦
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This is a `Jazzband`_ project. By contributing you agree to abide by the
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`Contributor Code of Conduct`_ and follow the `guidelines`_.
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.. _`issue tracker`: https://github.com/jazzband/django-analytical/issues
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.. _`pull request`: https://github.com/jazzband/django-analytical/pulls
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.. _`list of authors`: https://github.com/jazzband/django-analytical/blob/main/pyproject.toml
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.. _`changelog`: https://github.com/jazzband/django-analytical/blob/main/CHANGELOG.rst
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.. _`Jazzband`: https://jazzband.co
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.. _`Contributor Code of Conduct`: https://jazzband.co/about/conduct
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.. _`guidelines`: https://jazzband.co/about/guidelines
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.. end contribute include
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