I find analytics that is not actionable in any way a waste of time. For example, checking the Insights Traffic pane on GitHub on your own repos to see how many people viewed your repo or cloned it. Or seeing how many people visited your own personal site with Google analytics. It serves 0 purpose and is only addicting due to its ego boosting nature. I block these pages with Focus app or not use analytics all together on sites that don't need it.
It is however sometimes helpful to see analytics in aggregate, for example Medium stats where you can see which articles you wrote resonated more with people.
That said, I am a firm follower of quantified self movement and I track and aggregate a lot of valuable data about myself and what I do. Specifically I heavily use Timing and WakaTime to track how I use my time. And I always try to be mindful of the time I spend.
For user facing products, well implemented analytics will let you see how to optimize your system to serve some end goals better and for that you need data.
Matamo - Open source alternative to Google Analytics.
Fathom - Simple, trustworthy website analytics. Built with Golang & Preact.
LocustDB - Massively parallel, high performance analytics database that will rapidly devour all of your data.
Grafana - Tool for beautiful monitoring and metric analytics & dashboards for Graphite, InfluxDB & Prometheus & More.
Cube.js - Open source modular framework to build analytical web applications.
Analytics.js - Hassle-free way to integrate analytics into any web application.
Kedro - Python library for building robust production-ready data and analytics pipelines.
Plausible Insights - Simple, lightweight analytics for your website.
OmniSci - Interactively query, visualize, and power data science workflows over billions of records.
Freshlytics - Open source privacy-friendly analytics software. It aims to be reliable, friendly to use and easy to deploy.