So I built Simple Analytics. To ensure that it's fast, secure, and stable, I built it entirely using languages that I'm very familiar with. The backend is plain Node.js without any framework, the database is PostgreSQL, and the frontend is written in plain JavaScript.
I learned a lot while coding, like sending requests as JSON requires an extra (pre-flight) request, so in my script I use the "text/plain" content type, which does not require an extra request. The script is publicly available (https://github.com/simpleanalytics/cdn.simpleanalytics.io/bl...). It works out of the box with modern frontend frameworks by overwriting the "history.pushState"-function.
I am transparent about what I collect (https://simpleanalytics.io/what-we-collect) so please let me know if you have any questions. My analytics tool is just the start for what I want to achieve in the non-tracking movement.
We can be more valuable without exploiting user data.
I would however a little more skeptical with tools claiming to be privacy-first than I would be with GA (who I presume are not privacy-first). On that note, some quick questions:
- Any plans to open source? I've used Piwik/Matomo in the past, and while I'm not a massive fan of the code-quality of that project, it's at least auditable (and editable).
- You say you're transparent about what you collect—IPs aren't mentioned on that page[0]. Are IPs stored in full or how are they handled? I assume you log IPs?
- How do you discern unique page-views? You seem to be dogfooding and I see no cookies or localStorage keys set.
Apart from the unfortunate non-open-source answer, this sounds great!
I get others' concerns about wanting unique pageviews, but that metric is always a bit of a sketchy either-or for extremely privacy-conscious people. It's both an incredibly valuable metric, and also one that's difficult to square with complete privacy (basically it's always going to be pseudonymous at best).