{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/21"},{"label":"WWW/HTTP","url":"https://skillfed.io/packages/category/internet-www-http/7"},{"label":"Dynamic Content","url":"https://skillfed.io/packages/category/internet-www-http-dynamic-content/3"}],"enrichment":{"capability":"Integrates multiple third-party analytics services into Django projects through a unified template interface, eliminating the need to manually embed service-specific tracking code.","skillfed_tags":["analytics-integration","django-middleware","template-tags"],"use_cases":["Add Google Analytics tracking to a Django site without manually embedding the tracking snippet in every template.","Switch between multiple analytics providers (e.g., from Google Analytics to Matomo) by changing settings rather than rewriting templates.","Centralize analytics configuration so credentials and service IDs are managed in one place, not scattered across template files.","Integrate user feedback tools like Hotjar or UserVoice alongside traffic analytics in a single, unified setup.","Enable or disable analytics services per environment (development, staging, production) via Django settings."],"what_it_does":"django-analytical is a Django application that centralizes the integration of third-party analytics services\u2014such as Google Analytics, Mixpanel, Hotjar, and many others\u2014into your project. Instead of manually adding service-specific JavaScript tracking code to templates and scattering configuration across your codebase, you configure each service once in Django settings and use simple template tags to inject the tracking code. The package abstracts away the differences between services, using asynchronous JavaScript where possible and keeping sensitive identifiers out of templates.\n\nThe package supports a large roster of analytics and monitoring services, from traffic analysis tools like Google Analytics and Clicky to user feedback platforms like Hotjar and UserVoice, as well as A/B testing and conversion tracking services. It's designed for developers who want a clean, maintainable way to manage analytics across a Django project without duplicating boilerplate or hardcoding credentials in templates.","worth_installing":"Yes. The package is actively maintained, has no known vulnerabilities, supports current Python and Django versions, and solves a real problem\u2014keeping analytics configuration clean and maintainable in Django projects. The single dependency on django and low install friction make it a low-risk addition. Use it if you need to integrate multiple analytics services or want to keep tracking code out of your templates."},"id":"django-analytical","links":{"html":"https://skillfed.io/packages/django-analytical","md":"https://skillfed.io/packages/django-analytical.md","pypi":"https://pypi.org/project/django-analytical/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2025-07-10","license_spdx":"MIT","license_treatment":"permissive","name":"django-analytical","python_support":"supports_current","summary":"Analytics service integration for Django projects"},"popularity":{"monthly_downloads":93008,"position":13408,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"3.2.0"}