<!everyone> 📦 Elementary dbt package + CLI — v0.26.0 dbt package ✨ New test

metric_stability

— flags when a metric changes after you measured it (late or corrected data). You set how old a time bucket must be to count as settled and how much change is okay. Works with dimensions, custom time buckets, and

where_expression

. → docs.elementary-data.com/data-tests/metric-stability 🔍 Five new

_with_context

tests — same tests, now returning the failing rows plus nearby columns so you skip the follow-up query. → docs.elementary-data.com/data-tests/with-context-tests 🧱 BigQuery anomaly tests now run on nested STRUCT fields — no flattening needed. → docs.elementary-data.com/data-tests/anomaly-detection-tests/column-anomalies ⚡ Faster, cheaper runs — append-only result tables (no full-history scans), faster Fusion artifact uploads, dimension-partitioned anomaly training (fewer misses and false positives), and time-bucket names in non-dimensional alerts. CLI 🚀 dbt 2.0 and Fusion support. 🔧 Fixes — large test-result samples truncated so alerts don't fail on oversized payloads, more accurate alert timestamps, report UI fixes, and dbt

REUSED

state support (State v1.11+). 🌱 First contributions from @tlangton3, @zerafachris and @hiromi-dev — thank you!