arp242/goatcounter

★ 5,690GoAudience · generalComplexity · 2/5LicenseSetup · easy

Mindmap

mindmap
  root((GoatCounter))
    Tracking Methods
      JS snippet
      Server API
      Log file import
      No-JS image pixel
    Data Collected
      Page views
      Browser types
      Geographic locations
      Referral sources
    Self-Hosting
      Single binary
      SQLite storage
      PostgreSQL storage
      Docker support
    Privacy
      No user profiles
      No cookies needed
      Data stays local
    Hosted Option
      goatcounter.com
      One line of code
      Instant setup

mindmap root((GoatCounter)) Tracking Methods JS snippet Server API Log file import No-JS image pixel Data Collected Page views Browser types Geographic locations Referral sources Self-Hosting Single binary SQLite storage PostgreSQL storage Docker support Privacy No user profiles No cookies needed Data stays local Hosted Option goatcounter.com One line of code Instant setup

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Things people build with this

USE CASE 1

Add simple, privacy-safe analytics to your website without a cookie consent popup or GDPR headache.

USE CASE 2

Self-host your own analytics server so visitor data never leaves your infrastructure.

USE CASE 3

Track page views on a site built without JavaScript by using the image-based tracking option.

USE CASE 4

Replace Google Analytics on a small business or personal site and export your data anytime you want.

Tech stack

GoSQLitePostgreSQLDockerJavaScriptnginx

Getting it running

Difficulty · easy Time to first run · 30min

Hosted version needs just one line of JS. Self-hosted requires downloading a binary and running one command, SQLite works out of the box with no database setup.

Open source and free to use. You can run it yourself, modify it, and the source code is publicly available.

In plain English

GoatCounter is a web analytics tool that tracks visits to your website without collecting personal data about your visitors. It is positioned as a privacy-respecting alternative to Google Analytics: you get page view counts, browser types, geographic locations, screen sizes, and referral sources, but no individual user profiles and no need for cookie consent banners. You can use it in one of two ways. The hosted version at goatcounter.com lets you sign up and add a single line of code to your website to start collecting statistics immediately. The self-hosted version lets you run the whole system on your own server, which means your data never leaves your infrastructure. The source code is fully open and free to use. For self-hosters, the setup is intentionally simple. You download a precompiled binary (no complex dependencies required), run one command to start the server, and use a web wizard or a command-line tool to create your first site. Storage uses either SQLite for smaller sites or PostgreSQL for larger ones. Docker is also supported for those who prefer container-based deployments. Automatic HTTPS certificate generation is built in. To get data into GoatCounter, there are three methods: add a small JavaScript snippet to your pages (about 3.5 kilobytes), call its API from your own server backend, or point it at your existing web server log files from nginx, Apache, or similar tools. A no-JavaScript image-based tracking option also exists for sites that avoid JavaScript. The project emphasizes accessibility in its own interface, with screen reader support noted as a priority. You can export all your data at any time and stop using the service whenever you want.

Copy-paste prompts

Prompt 1

I'm adding GoatCounter analytics to my website. Show me the JavaScript snippet I need to paste in and explain where exactly it should go in my HTML.

Prompt 2

I want to self-host GoatCounter on a Linux server. Walk me through downloading the binary, starting the server, creating my first site, and enabling automatic HTTPS.

Prompt 3

My website doesn't use JavaScript. How do I use GoatCounter's image-based tracking instead, and what data will I still be able to collect?

Prompt 4

I have existing nginx access log files and want to import them into GoatCounter. What command do I run and what format does GoatCounter expect?

Prompt 5

Compare GoatCounter to Google Analytics for a non-technical founder: what data do I get, what do I give up, and why does it matter for privacy?

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