GoatCounter VS Open Web Analytics

GoatCounter — GoatCounter is an open-source web analytics platform available as a hosted service (free for non-commercial use) or self-hosted app. It aims to offer easy-to-use and meaningful privacy-friendly web analytics as an alternative to Google Analytics or Matomo. The free tier is for non-commercial use and includes unlimited sites, six months of data retention, and 100k pageviews/month.

> Not sure when GoatCounter started

"Hello, world" - arp242 committed on May 28, 2019 - 66a4d7f9b7af8dccacaf3ad8a9fb57a9f9008030 - https://github.com/arp242/goatcounter/commit/66a4d7f9b7af8dc...

Location: Ireland (Galway)

Remote: yes

Willing to relocate: yes

Technologies: Go ("Golang"), Python, Ruby, JavaScript, Linux, Unix, PostgreSQL

Résumé/CV: https://www.arp242.net/cv/cv-martintournoij

Email: [email protected]

I've been using Go as my primary language for the last seven years, although I don't overly care about the specific language and have experience with a wide variety of tools and languages such as Python, Ruby, PHP, C, JavaScript, Lua, and probably some more. While I've mainly focused on backend in the last few years, I also have written plenty of frontend code over the years, from the "pre-jQuery" days to VueJS.

In the last few years I mainly focused on GoatCounter (https://www.goatcounter.com) with the occasional contract job, but I'm keen to start working on something new for the longer term.

I've got quite a bit of code on my GitHub, so you can take a look at that if you want: https://github.com/arp242/

I suggest using analytics that you can self-host, like https://www.goatcounter.com/ and renting a cheap vm to run it on along with your blog. It is way better, you have more control and you can be sure that javascript tracking is working for 100% of people using the site since you have full control over it not getting blocked by adblockers.

I'm self-hosting GoatCounter and using it across all my websites.

Apart from controlling my data, I also have more accurate visitor statistics, as it doesn't get picked up by script blockers, unlike GA.

https://github.com/arp242/goatcounter

https://www.goatcounter.com

I first used basic google analytics but found it too invasive/heavy so I switched over to https://www.goatcounter.com/.

For comments, most solutions were also too heavy, paid or had ads, but I finally found https://giscus.app/.

So while I did add these 2 features, I'm happy with those variants that I managed to find.

Location: Ireland

Remote: yes

Willing to relocate: yes

Technologies: Go ("Golang"), Python, Ruby, JavaScript, Linux, Unix, PostgreSQL

Résumé/CV: https://www.arp242.net/cv/cv-martintournoij

Email: [email protected]

I've been using Go as my primary language for the last seven years, although I don't overly care about the specific language and have experience with a wide variety of tools and languages such as Python, Ruby, PHP, C, JavaScript, Lua, and probably some more. While I've mainly focused on backend in the last few years, I also have written plenty of frontend code over the years, from the "pre-jQuery" days to VueJS.

In the last few years I mainly focused on GoatCounter (https://www.goatcounter.com) with the occasional contract job, but I'm keen to start working on something new for the longer term.

I've got quite a bit of code on my GitHub, so you can take a look at that if you want: https://github.com/arp242/

Analytics services can also be self-hosted. While this is a more expensive solution from a management perspective, it is the solution that affords the greatest flexibility for implementing and enforcing privacy protections. There are many offerings in this space, including established projects like Matomo (formerly Piwik) and Open Web Analytics.

It depends on what metrics exactly the analytics want to aim. Maybe it's indeed better to dev something just for this use case. But as he said, “track it ourselves” I'll avoid Google solution and use something like Open Web Analytics (In general case, I don't use Google Analytics any more).

What it is: Open Web Analytics is an open-source web analytics platform that lets you analyze and track your site and app visitors. It offers flexibility to monitor your analytics with a simple and easy-to-use dashboard.

I was looking at Open Web Analytics the other day - seems it can be easily hosted on any hosting plan.

I thought the old self-hosted version was available on github. See how http://www.openwebanalytics.com/ does it.