Description
DVC is a ML model monitoring and observability tool designed for teams working on model monitoring & performance. It helps you go from raw data to actionable insights by streamlining common workflows like setup, analysis, and sharing.
Typical workflows include connecting data sources, defining key metrics, and building views (dashboards, reports, or monitors) that stakeholders can rely on.
Best for: ML and data teams shipping models who need drift detection, monitoring, and governance. Pricing: Open source (Open-source (self-hosted / community)).
Details
- Pricing model: open_source
- License: open_source
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