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Minimal Google Analytics Snippet
Python ExamplesBased on our record, Minimal Google Analytics Snippet seems to be more popular. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Https://davidkunnen.com my personal site https://stockevents.app my main project https://minimalanalytics.com something I made some time ago that people liked. - Source: Hacker News / over 4 years ago
Because of that, people have been using Minimal Google Analytics Snippet as a solution. According to minimalanalycs.com website, the Google Tag Manager + Analytics can weigh 73kB (mine weights 93kB!) where the snippet weights only 1.5kB. It looks small but this is a big difference if it's going about web performance. - Source: dev.to / over 4 years ago
To solve this problem, but maintain basic use of your analytics, you can replace Google's tracking method with a snippet, a portion of it, that will do exactly what you need. This snipped is called Minimal Google Analytics and was prepared by DavidKuennen and published in unminified form on GitHub Gist. - Source: dev.to / over 4 years ago
Why not use Minimal Google Analytics which is only 1.5KB in size but it doesn't support full-blown GA or use Analytics JS which is 17KB which support everything except Autotrack (my knowledge) but is prone to Bots. Source: almost 5 years ago
I created https://minimalanalytics.com some years ago. - Source: Hacker News / over 5 years ago
Simple Analytics - The privacy-first Google Analytics alternative located in Europe.
PythonAnywhere - Host, run, and code Python in the cloud: PythonAnywhere
Fathom Analytics - Simple, trustworthy website analytics (finally)
Learn Python The Hard Way - One of the best guides to learn Python & coding in general
Cube.js - An open source framework to add customer-facing analytics to any application.
Microsoft Clarity - Website analytics powered by machine learning ๐