For privacy prevention, maybe you can help me understand something better then. I was under the impression that for the most part, each fingerprinting technique itself was not enough to identify someone, but it is the collection of them. So in that setting, would not showing the distribution of the individual metrics likely preserve privacy? I can certainly see some subtle naive trap existing here that I'm not aware of but do you know of one? I at least would think things such as agent, dark mode, and some other things shouldn't risk deanonymization. Though clearly things like coordinates, unique fingerprints, and probably even the canvas fingerprinting shouldn't be shared. As long as each data point isn't associated with others and you have a decent sample size. But also I'd love to learn if I'm missing something important.
And creating that comparison is far harder than people think. To answer "How unique am I?" I need a large, representative dataset of fingerprints collected over time and ideally weighted by how often real websites use each feature. That would require running an backend and database.
It’s something I’d like to build eventually, but only in a privacy-preserving, opt-in way that aligns with the spirit of the project.