Offen vs PostHog
| Tagline | Fair web analytics that lets users access and delete their own data | All-in-one product analytics, session replay, feature flags, and A/B testing |
| Category | Product & Web Analytics | Product & Web Analytics |
| Replaces | Google Analytics, Mixpanel | Mixpanel, Amplitude, Hotjar, Google Analytics |
| GitHub stars | 880 | 35k |
| Language | Go | Python |
| License | Apache-2.0 | MIT |
| Self-host difficulty | 1/5 Effortless | 5/5 Advanced |
| Deploy options | One-Click Docker Manual | Docker Compose Kubernetes Manual |
| Managed hosting | ||
| Last updated | 1 month ago | 5 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.
Offen
- Limited metrics scope: no heatmaps, funnels, or A/B testing
- No multi-site roll-up view in a single dashboard
- Visitor self-service portal adds UX complexity for non-technical audiences
PostHog
- Self-hosting the full ClickHouse + Kafka + Postgres + Redis stack is heavy; the project actively steers smaller users toward PostHog Cloud.
- Some enterprise features live under a separate proprietary
eelicense, not pure MIT. - The all-in-one breadth means it is more complex to operate than a focused tool like Mixpanel.
Bottom line
Choose Offen if you want the lower-effort setup; choose PostHog for the larger community and ecosystem. PostHog has seen more recent development. Open each guide below for deploy steps and the full feature gap.
PostHog
All-in-one product analytics, session replay, feature flags, and A/B testing