PostHog vs Rybbit
| Tagline | All-in-one product analytics, session replay, feature flags, and A/B testing | Open-source, privacy-friendly Google Analytics alternative built for clarity |
| Category | Product & Web Analytics | Product & Web Analytics |
| Replaces | Mixpanel, Amplitude, Hotjar, Google Analytics | Google Analytics, Mixpanel, Hotjar |
| GitHub stars | 40k | 13k |
| Language | Python | TypeScript |
| License | MIT | AGPL-3.0 |
| Self-host difficulty | 5/5 Advanced | 3/5 Moderate |
| Deploy options | Docker Compose Kubernetes Manual | Docker Compose Manual |
| Managed hosting | ||
| Last updated | yesterday | yesterday |
| View repo | View repo |
Where each falls short
The honest trade-offs — what you give up with each, versus the proprietary tools they replace.
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.
Rybbit
- Young project; feature depth and stability still trail established tools.
- Product-analytics capabilities (cohorts, retention) are less mature than Mixpanel/Amplitude.
- Smaller ecosystem and fewer integrations than Google Analytics.
Bottom line
Choose Rybbit if you want the lower-effort setup; choose PostHog for the larger community and ecosystem. Open each guide below for deploy steps and the full feature gap.