GoatCounter vs Postiz
| Tagline | Easy, privacy-friendly web analytics with no tracking of personal data | Self-hosted social media scheduling and analytics platform for all major networks |
| Category | Product & Web Analytics | Product & Web Analytics |
| Replaces | Google Analytics | Google Analytics, Mixpanel, Amplitude |
| GitHub stars | 5.8k | 34k |
| Language | Go | Docker |
| License | EUPL-1.2 | AGPL-3.0 |
| Self-host difficulty | 2/5 Easy | 3/5 Moderate |
| Deploy options | Docker Manual | Docker Docker Compose Manual |
| Managed hosting | ||
| Last updated | 9 days ago | 2 days ago |
| View repo | View repo |
Where each falls short
The honest trade-offs — what you give up with each, versus the proprietary tools they replace.
GoatCounter
- Minimal by design: no funnels, cohorts, heatmaps, or session replay.
- Event/custom-property tracking is limited compared to product-analytics tools.
- Single-maintainer project, so release cadence can be slow.
Postiz
- Inbox/engagement management (replying to comments and DMs) is limited compared to Hootsuite or Sprout Social
- Social listening and brand mention monitoring are not included
- Detailed competitor analysis and benchmarking features are absent
- Some platform integrations require individual developer app approvals
Bottom line
Choose GoatCounter if you want the lower-effort setup; choose Postiz for the larger community and ecosystem. Postiz has seen more recent development. Open each guide below for deploy steps and the full feature gap.
GoatCounter
Easy, privacy-friendly web analytics with no tracking of personal data
Postiz
Self-hosted social media scheduling and analytics platform for all major networks