Fathom Analytics VS Parse.ly Analytics

A few apps that are a joy to use: https://ia.net/writer for writing. https://usecontrast.com/ for checking contrast. https://sipapp.io/ for picking colors. https://nova.app/ for editing code. https://cleanshot.com/ for screenshots. https://getpixelsnap.com/ for measuring elements on screen. https://netnewswire.com/ for reading things via RSS. https://panic.com/transmit/ for file transfers. https://usefathom.com/... - Source: Hacker News / 4 months ago

There are many good, lightweight, and open-source alternatives to Google Analytics, such as Plausible, Matomo, Fathom, Simple Analytics, and so on. Many of these options are open-source, and can be self-hosted. - Source: dev.to / 6 months ago

Have you looked at Fathom[0] or GoatCounter? [0] https://usefathom.com/ [1] https://www.goatcounter.com/. - Source: Hacker News / 8 months ago

Yes, you should absolutely not be using Google Analytics. They don't need more data, your users don't want to see cookie banners and most of you really don't need 99% of the data that you can filter through... I can't recommend Fathom (https://usefathom.com) enough. They have a huge focus on privacy-first tracking. You don't need to show a cookie banner and you can still track events etc. If you want $10 credit... - Source: Hacker News / 10 months ago

Example: https://usefathom.com/ and june.so. Source: 10 months ago

I've also seen parse.ly pop up a bit, I might try it to see if it's any decent. Source: over 1 year ago

Parse.ly | Python Data Engineers (NA) & Machine Learning Engineers (EU) | Remote | Full-Time | https://parse.ly Are you a Python programmer based in North or South America, interested in large-scale data processing (terabytes per month, petabytes in our archive), and making use of massively-parallel computing architectures, such as those behind Spark and Dask? Or, are you a Machine Learning Engineer in Western or... - Source: Hacker News / almost 3 years ago

Would be really useful (not to mention polite) if sources were cited when you do this. For example, I think the early points are from the parse.ly report. People might want to click through for context if you let them. Source: about 3 years ago