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Source: python-django-analytical
Section: python
Priority: optional
Maintainer: Debian Python Team <team+python@tracker.debian.org>
Uploaders:
Michael Fladischer <fladi@debian.org>,
Build-Depends:
debhelper-compat (= 13),
dh-sequence-python3,
dh-sequence-sphinxdoc,
pybuild-plugin-pyproject,
python3-all,
python3-django,
python3-pytest,
python3-pytest-django,
python3-setuptools,
python3-sphinx,
Standards-Version: 4.7.2
Homepage: https://github.com/jazzband/django-analytical/
Vcs-Git: https://salsa.debian.org/python-team/packages/python-django-analytical.git
Vcs-Browser: https://salsa.debian.org/python-team/packages/python-django-analytical
Rules-Requires-Root: no
Testsuite: autopkgtest-pkg-pybuild
Package: python-django-analytical-doc
Section: doc
Architecture: all
Multi-Arch: foreign
Depends:
${misc:Depends},
${sphinxdoc:Depends},
Description: Integrate analytics services into a Django (Documentation)
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.
.
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.
.
This package contains the documentation.
Package: python3-django-analytical
Architecture: all
Depends:
${misc:Depends},
${python3:Depends},
python3-django,
Suggests:
python-django-analytical-doc,
Description: Integrate analytics services into a Django (Python3 version)
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.
.
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.
.
This package contains the Python 3 version of the library.
|
