Strengths
- Open-source with no license costs and full control over self-hosted infrastructure.
- Integrates with major cloud platforms and over 40 frameworks.
- Supports reproducible model packaging for deployment as APIs or batch inference.
- Provides experiment tracking and model registry for team collaboration.
- Offers managed free hosting options without setup hassle.
Limitations
- Self-hosting requires managing server, database, and storage costs (~$200/month for small teams).
- Core open-source version lacks advanced features like interactive dashboards, bias detection, dynamic autoscaling, or detailed latency metrics.
- Basic model evaluation limited to static artifacts without built-in fairness metrics.