Deepchecks

Deepchecks offers an end‑to‑end solution for ML teams to ensure their models remain reliable and performant in production. The open‑source library provides built‑in checks and suites for tabular, NLP and computer vision data, enabling users to catch issues such as data leakage, feature drift, model overfitting or segmentation errors. :contentReference[oaicite:0]{index=0} The platform offering builds on this with real‑time monitoring, alerting, and root‑cause analysis: users can deploy on‑premises, single‑tenant or SaaS, integrate with existing workflows (Slack, PagerDuty, data stores) and scale to many models in parallel. :contentReference[oaicite:1]{index=1} Additionally, Deepchecks supports evaluation of large‑language‑model (LLM) applications and RAG pipelines, offering auto‑scoring, version comparison, business‑metric tracking and enterprise‑grade compliance features. :contentReference[oaicite:2]{index=2}