EDA vs PostHog
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?
EDA
Web application for data analysis and visualization
VS
PostHog
Open-source product analytics platform
| Feature | EDA | PostHog |
|---|---|---|
| Category | Web Analytics | Web Analytics |
| License | AGPL-3.0 | MIT |
| Language | TypeScript | Python |
| Setup difficulty | Medium | Hard |
| Min. RAM | 512 MB | 4,096 MB |
| Deployment | docker | docker, kubernetes |
| GitHub stars | ★ 202 | ★ 37,548 |
| First released | 2026 | 2020 |
| Replaces | — | Google Analytics, Mixpanel, Amplitude |
Why pick each one
Choose EDA if…
- Released under the AGPL-3.0 license
- First-class Docker support for quick deployment
- Written in TypeScript
- Lightweight — runs in 512 MB RAM
Frequently asked questions
Is EDA or PostHog better?
Neither is universally better. PostHog has the larger community, while EDA is simpler to set up (medium difficulty). Choose based on the comparison table above and your own setup.
Are EDA and PostHog free and open-source?
Yes. EDA is licensed under AGPL-3.0 and PostHog under MIT. Both can be self-hosted at no software cost.
Can I run EDA and PostHog with Docker?
EDA: yes. PostHog: yes.