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Add Bruin to Tools & Projects #11

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Expand Up @@ -59,6 +59,7 @@ This section covers data quality for traditional structured and unstructured dat
- [Provero](https://github.com/provero-org/provero) - A vendor-neutral, declarative data quality engine. Define checks in YAML and run anywhere. (2026)
- [DataScreenIQ](https://datascreeniq.com) - A hosted real-time data quality screening API that returns PASS / WARN / BLOCK verdicts at the ingest boundary before data enters pipelines or warehouses. Detects schema drift, null spikes, and type mismatches in milliseconds. (2026)
- [statguard](https://github.com/Mullassery/statguard) - Rust-native data quality and validation library with a Python API. Declarative contract DSL compiled to a columnar execution plan (Polars + Arrow + Rayon). Schema checks, drift detection (PSI + KS), anomaly detection, Delta Lake/Iceberg/Parquet/Avro/ORC support. 13–25× faster than pandera and Great Expectations. (2025)
- [Bruin](https://github.com/bruin-data/bruin) - A data pipeline framework with column-level and custom SQL quality checks that run as part of each pipeline, across BigQuery, Snowflake, Postgres, Redshift, DuckDB and others. (2023)

### Data Readiness Assessment

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