SwanLab
Open-source ML experiment tracking tool (Chinese W&B alternative) with hyperparameters, curves and remote dashboards.
Our Verdict
Credible open W&B alternative for budget-conscious ML teams, especially in APAC; trails W&B in polish.
Pros
- Open-source W&B alternative with core features
- Self-hostable for privacy-sensitive teams
- Free tier and permissive pricing
- Active Chinese ML community
Cons
- Smaller global community than W&B or MLflow
- Docs stronger in Chinese than English
- Integrations thinner than Weights & Biases
- Enterprise features still maturing
Best for: ML teams wanting self-hosted experiment tracking without W&B pricing.
Not for: Teams needing the richest integrations and mature MLOps ecosystem.
When to Use SwanLab
Good fit if you need
- ML experiment tracking with hyperparameter logging
- Training curve visualization for model comparison
- Open-source alternative to W&B for Chinese ML teams
- Remote dashboard sharing for distributed training runs
Lock-in Assessment
Low 5/5
Lock-in Score 5/5
Pricing
Price wrong?SwanLab Pricing
- Pricing Model
- free
- Free Tier
- Yes
- Entry Price
- —
- Enterprise Available
- No
- Transparency Score
- —
Beta — estimates may differ from actual pricing
1,000
1001K10K100K1M
Estimated Monthly Cost
$25
Estimated Annual Cost
$300
Estimates are approximate and may not reflect current pricing. Always check the official pricing page.
Community Discussion
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