Head-to-head · ML Experiment Tracking Software
Weights & Biases vs Valohai
Weights & Biases leads on 1 check, Valohai on 0, and 1 is even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreWeights & Biases · 8.9/10
- Free planonly Weights & Biases
- Free trialboth
Weights & Biases scores higher on our rubric for ml experiment tracking software: 8.9 against 8.3 out of 10; our editors rank them #1 and #6.
Weights & Biases offers free plan; Valohai doesn't.
Weights & Biases is the better fit for organizations needing a mature full ML platform. Valohai is the better fit for governed multi-cloud enterprise ML teams.
- Weights & Biases fits best
Organizations needing a mature full ML platform
- Valohai fits best
Governed multi-cloud enterprise ML teams
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Side by side
| Feature | Weights & Biases 8.9/10 Visit ↗ | Valohai 8.3/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.9 | 8.3 |
| Ranking | #1 in ML Experiment Tracking Software | #6 in ML Experiment Tracking Software |
| Best for | Organizations needing a mature full ML platform | Governed multi-cloud enterprise ML teams |
| Pricing model | Free plan + paid | Paid |
| Starting price | $60/mo | Pricing on request · 14-day trial |
| Free plan | ✓ (best) | — |
| Free trial | 30 days | 14 days |
| Free trial length | 30 days | 14 days |
| Deployment | Cloud, Self-hosted, Browser extension | Cloud, Self-hosted |
| Platforms | Web, iOS | Web |
| Support | Email, Live chat, Community · 24/7 | Email, Docs |
| Compliance | SOC 2, ISO 27001, GDPR, HIPAA, SSO/SAML | SOC 2, GDPR, SSO/SAML, 2FA |
| Integrations | 9 integrations | 20 integrations |
| Built for | Solo, Small business, Mid-market, Enterprise | Mid-market, Enterprise |
| Features Weights & Biases 1/5 · Valohai 1/5 | ||
| Run comparison | Not checked yet | Not checked yet |
| Artifact tracking | Not checked yet | Not checked yet |
| Dataset versioning | Not checked yet | Not checked yet |
| Model registry | ✓ | ✓ |
| API and SDK access | Not checked yet | Not checked yet |
| Specs | ||
| Deployment options | Not checked yet | Not checked yet |
| Our review | ||
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| Cons |
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| Our verdict | Weights & Biases is an AI developer platform for machine-learning and AI teams working across development, training, evaluation, and production operations. Its core capabilities include experiment tracking and visualization, hyperparameter… Read the review → |
Valohai is an MLOps platform for data scientists, ML engineers, and enterprise ML teams. Its experiment tracking covers metrics, logs, parameters, and reproducibility information, while the wider platform manages code, data, models,… Read the review → |
Strengths and trade-offs
Weights & Biases — where it wins
- Covers tracking, sweeps, versioning, registry, serving, and monitoring
- Supports managed, dedicated, and self-hosted deployment options
- Integrates with PyTorch, TensorFlow, Hugging Face, and scikit-learn
Where it doesn't
- Pro starts at $60 per month when billed monthly
- The Free plan includes community support rather than priority support
- Its broad scope may exceed the needs of teams seeking tracking alone
Valohai — where it wins
- Tracks metrics, logs, parameters, code, data, and reproducibility information
- Connects registries, pipelines, serving, and data versioning in one platform
- Supports multi-cloud, Kubernetes, Slurm, on-premises, and distributed training
Where it doesn't
- Pricing requires contacting sales
- There is no free plan
- Its wider MLOps scope may exceed tracking-only requirements
- Weights & Biases8.9/10 · Free plan · 30-day trial
A broad ML platform that extends experiment tracking into production workflows.
Try Weights & BiasesFull verdict → - Valohai8.3/10 · Pricing on request · 14-day trial
A broad MLOps platform for teams that need tracking plus production governance.
Visit ValohaiFull verdict →
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- Weights & Biases vs DVCLive
- ClearML vs Valohai
- Comet vs Valohai
All ML experiment tracking software comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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