Netron vs Umami
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?
Netron
Visualizer for neural network and machine learning models
VS
Umami
Simple, fast, privacy-focused web analytics
| Feature | Netron | Umami |
|---|---|---|
| Category | Web Analytics | Web Analytics |
| License | MIT | MIT |
| Language | JavaScript | TypeScript |
| Setup difficulty | Medium | Easy |
| Min. RAM | 512 MB | 512 MB |
| Deployment | bare-metal | docker |
| GitHub stars | ★ 33,323 | ★ 38,103 |
| First released | 2026 | 2020 |
| Replaces | — | Google Analytics |
Why pick each one
Choose Netron if…
- Released under the MIT license
- Mature project with 33.3k GitHub stars
- Written in JavaScript
- Lightweight — runs in 512 MB RAM
Frequently asked questions
Is Netron or Umami better?
Umami is the stronger all-round pick: it has both the larger community and the simpler easy setup. Consider Netron if its specific feature set fits your needs better.
Are Netron and Umami free and open-source?
Yes. Netron is licensed under MIT and Umami under MIT. Both can be self-hosted at no software cost.
Can I run Netron and Umami with Docker?
Netron: check the project docs for container support. Umami: yes.