# #data-drift — MDRSS hashtag feed

> Public MDRSS cards tagged #data-drift.
> Canonical feed: https://mdrss.com/feeds/data-drift

## Cards (2)

### [barchart: What is Evidently?](https://mdrss.com/llm-engineering/models-and-training/2171/2171.md)

Evidently An open-source framework to evaluate, test and monitor ML and LLM-powered systems. Documentation Evidently is an open-source Python library to evaluate, test, and monitor ML and LLM systems—from experiments to production.

Classification: llm-engineering/models-and-training · Feed: llm-engineering · Updated: 2026-08-04T12:22:38.168Z · Version: 1

### [What is NannyML?](https://mdrss.com/llm-engineering/models-and-training/1663/1663.md)

Website • Docs • Community Slack NannyML is an open-source python library that allows you to estimate post-deployment model performance (without access to targets), detect data drift, and intelligently link data drift alerts back to changes in model performance. Built for data scientists, NannyML has an easy-to-use interface, interactive visualizations, is completely model-agnostic and currently supports all tabular use cases, classification and regression.

Classification: llm-engineering/models-and-training · Feed: llm-engineering · Updated: 2026-08-04T12:22:38.168Z · Version: 1