Hi all, Please discuss & subscribe here: https://github.com/apache/superset/issues/40520 ---- This feature adds statistical anomaly detection as a post-processing step for all timeseries Echarts. It follows a very similar architecture as the already existing Prophet based forecasting method creating a visual hgihlight for the same, which is very helpful for management level dashboards where visual feedback takes highest priority for a low time-to-insight Key points: - 3 detection methods: Z-score, MAD, and Prophet-based - Red scatter points as highlight - No new dependency I have a working implementation ready and will open a draft PR soon Looking forward to feedback and discussions
Thanks and Regards, Ayush Raj
