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Based on our record, OwnTracks should be more popular than Ahoy Ruby Gem. It has been mentiond 38 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.
A full-featured, mountable analytics dashboard for your Rails app, which is a blatant rip-off of heavily inspired by Plausible Analytics, powered by Ahoy. Open source, though lots of changing parts: https://github.com/joshmn/ahoy_captain. Source: 10 months ago
For logging which functions were used you can use ahoy. Source: about 1 year ago
I've slowly started ripping Google Analytics out of my Rails projects and replacing it with https://github.com/ankane/ahoy. It's so much better! I can just use SQL to see what's going in and not get overwhelmed with 100's of visualizations and complicated dashboards. - Source: Hacker News / almost 2 years ago
I'm using the ahoy gem for analytics on my website (https://github.com/ankane/ahoy). Source: about 2 years ago
I did server-side tracking test in a rails app, where I implemented a tracking gem called ahoy and blazer for visualization. It is very easy to set up, but a bit hard to use. Blazer can do a very basic visualization of the data if you know your SQL queries. - Source: dev.to / over 2 years ago
The only private alternatives are going to be self hosted and will require some technical skill. See owntracks for details. Source: about 1 year ago
On your side, you need some way to be tracked. Easy solution is an app on your phone, I like OwnTracks as a privacy-respecting option. Source: over 1 year ago
Sounds like owntracks with a android headunit https://owntracks.org/. Source: over 1 year ago
OwnTracks is app people can install on their phones that you can setup to send live gps coordinates back to your web server. Source: over 1 year ago
One container where this would have been an issue for me is OwnTracks recorder. Probably could have got it working on ARM if I wanted to compile the program then create a container around it, but didn't want to spend the time and instead just used the free tier x86_64 VM. Source: over 1 year ago
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