PostHog vs Statistics for Strava
A side-by-side comparison of two self-hosted web analytics options — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
PostHog
Open-source product analytics platform
VS
Statistics for Strava
Statistics dashboard generated from Strava data
| Feature | PostHog | Statistics for Strava |
|---|---|---|
| Category | Web Analytics | Web Analytics |
| License | MIT | AGPL-3.0 |
| Language | Python | HTML |
| Setup difficulty | Hard | Medium |
| Min. RAM | 4,096 MB | 512 MB |
| Deployment | docker, kubernetes | docker |
| GitHub stars | ★ 37,548 | ★ 4 |
| First released | 2020 | 2026 |
| Replaces | Google Analytics, Mixpanel, Amplitude | — |
Why pick each one
Choose Statistics for Strava if…
- Released under the AGPL-3.0 license
- First-class Docker support for quick deployment
- Written in HTML
- Lightweight — runs in 512 MB RAM
Frequently asked questions
Is PostHog or Statistics for Strava better?
Neither is universally better. PostHog has the larger community, while Statistics for Strava is simpler to set up (medium difficulty). Choose based on the comparison table above and your own setup.
Are PostHog and Statistics for Strava free and open-source?
Yes. PostHog is licensed under MIT and Statistics for Strava under AGPL-3.0. Both can be self-hosted at no software cost.
Can I run PostHog and Statistics for Strava with Docker?
PostHog: yes. Statistics for Strava: yes.