Hello Superset Community, I would like to start the discussion for SIP-213, which proposes the addition of visual anomaly detection for timeseries charts
Please discuss and subscribe on Github: https://github.com/apache/superset/issues/40520 A prototype implementation for the above is available for reference at the following PR: https://github.com/apache/superset/pull/40954 The proposal is for the addition of statistical anomaly detection (Z-score, MAD, and Prophet-based) as a post-processing step for timeseries ECharts, visually highlighting anomalies as red scatter points. This feature mirrors the architecture of the existing Prophet forecasting feature to provide management-level dashboards with fast, low-effort visual feedback. I have kept the pull request in draft status and will update the implementation based on the feedback during the SIP discussion. Thank you for your time and feedback. Best Regards, Ayush Raj (DeepFriedYeti)
