Heap
Weights & Biases
| Feature | Heap | Weights & Biases |
|---|---|---|
| Pricing | Free only | Free / from $50/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.3 / 5 | 4.7 / 5 |
| Best For | product-teams, growth-teams, ux-researchers, data-analysts | ml-engineers, research-teams, ai-companies, data-scientists |
| Founded | 2013 | 2017 |
| Auto Capture | ✓ | ✗ |
| Retroactive Analytics | ✓ | ✗ |
| Session Replay | ✓ | ✗ |
| Journey Mapping | ✓ | ✗ |
| Funnels | ✓ | ✗ |
| Retention | ✓ | ✗ |
| Experiment Tracking | ✗ | ✓ |
| Model Registry | ✗ | ✓ |
| Sweeps | ✗ | ✓ |
| Artifacts | ✗ | ✓ |
| Reports | ✗ | ✓ |
| Launch | ✗ | ✓ |
✓ Heap Pros
- Auto-capture all events
- No code required for tracking
- Retroactive analysis possible
- Session replay included
✗ Heap Cons
- Expensive at scale
- Can be data-overwhelming
- Slower than event-based tools
✓ 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
Heap is built for product teams and growth teams, with a focus on auto-capture and retroactive-analytics. Weights & Biases targets ml engineers and research teams and leads with experiment-tracking and model-registry.
Heap uses custom enterprise pricing, while Weights & Biases starts at $50/mo — a tangible advantage for teams with a fixed budget.
Both offer free plans, so you can test each with your real workflow before committing to a subscription.
Weights & Biases edges out on user ratings (4.7 vs 4.3). While both are well-regarded, that gap reflects real differences in user satisfaction worth considering.
Bottom line: Weights & Biases has a slight overall edge — but if auto-capture all events matters most to you, Heap may still be the right call.