# Streaming drift detection

Learn how to detect concept and data drift in data streams as they evolve over time.

* [Drift Detection in CapyMOA](drift_detection.md)
* [Simulating concept drifts with the DriftStream API](drift_streams.md)
* [Optimizing Drift Detectors via Leave-One-Dataset-Out Cross-Validation](optimizing_detectors.md)
* [Data Drift Detection in CapyMOA](data_drift_detection.md)

# See also

- [`capymoa.drift`](../../api/modules/capymoa.drift.md#module-capymoa.drift)

Data streams change over time: the relationship between features and targets can
shift, or the distribution of the data itself can move. These tutorials cover how to
detect such concept and data drift, and how to respond to it in a streaming pipeline.