Umami
Weights & Biases
| Feature | Weights & Biases | |
|---|---|---|
| Pricing | Free / from $9/mo | Free / from $50/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.5 / 5 | 4.7 / 5 |
| Best For | indie-developers, privacy-focused-sites, bloggers, small-businesses | ml-engineers, research-teams, ai-companies, data-scientists |
| Founded | 2020 | 2017 |
| Page Views | ✓ | ✗ |
| Custom Events | ✓ | ✗ |
| Realtime Dashboard | ✓ | ✗ |
| Utm Tracking | ✓ | ✗ |
| Multi Site | ✓ | ✗ |
| Api | ✓ | ✗ |
| Teams | ✓ | ✗ |
| Experiment Tracking | ✗ | ✓ |
| Model Registry | ✗ | ✓ |
| Sweeps | ✗ | ✓ |
| Artifacts | ✗ | ✓ |
| Reports | ✗ | ✓ |
| Launch | ✗ | ✓ |
✓ 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
✓ Weights & Biases Pros
- Best-in-class experiment tracking
- Beautiful visualizations
- Great collaboration features
- Generous free tier
✗ Weights & Biases Cons
- Learning curve for full platform
- Can be expensive for large teams
- Requires integration work
The Verdict
Umami is built for indie developers and privacy focused sites, with a focus on page-views and custom-events. Weights & Biases targets ml engineers and research teams and leads with experiment-tracking and model-registry.
On pricing, Umami is the clear winner for budget-conscious users — starting at $9/mo compared to $50/mo for Weights & Biases. That $41/mo difference adds up quickly for growing teams.
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 Weights & Biases 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.