Hugging Face
Umami
| Feature | Hugging Face | Umami |
|---|---|---|
| Pricing | Free / from $9/mo | Free / from $9/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.7 / 5 | 4.5 / 5 |
| Best For | ml-engineers, researchers, data-scientists, ai-startups | indie-developers, privacy-focused-sites, bloggers, small-businesses |
| Founded | 2016 | 2020 |
| Model Hub | ✓ | ✗ |
| Datasets | ✓ | ✗ |
| Spaces | ✓ | ✗ |
| Inference Api | ✓ | ✗ |
| Transformers Library | ✓ | ✗ |
| Autotrain | ✓ | ✗ |
| Page Views | ✗ | ✓ |
| Custom Events | ✗ | ✓ |
| Realtime Dashboard | ✗ | ✓ |
| Utm Tracking | ✗ | ✓ |
| Multi Site | ✗ | ✓ |
| Api | ✗ | ✓ |
| Teams | ✗ | ✓ |
✓ Hugging Face Pros
- Largest model repository
- Active open-source community
- Easy model deployment
- Spaces for demos
✗ Hugging Face Cons
- Inference API can be slow on free tier
- Enterprise features expensive
- Not all models are production-ready
✓ Umami Pros
- Completely open-source and self-hostable for free
- Beautiful, clean dashboard interface
- No cookies required (GDPR/CCPA compliant by default)
- Lightweight script (under 2KB) does not slow sites
✗ Umami Cons
- Limited advanced analytics features
- No conversion funnel or cohort analysis
- Self-hosting requires database management
The Verdict
Hugging Face is built for ml engineers and researchers, with a focus on model-hub and datasets. Umami targets indie developers and privacy focused sites and leads with page-views and custom-events.
Both tools come in at similar price points ($9/mo for Hugging Face, $9/mo for Umami), so pricing won't make the decision for you.
Both offer free plans, so you can test each with your real workflow before committing to a subscription.
Feature-wise, Umami offers broader built-in capabilities (7 features vs 6), while Hugging Face takes a more focused approach — which can mean a simpler, faster onboarding experience.
This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.