re-data/re-data

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

1569 stars · 123 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

re_data is an open-source data reliability framework built as a dbt package for the modern data stack. It computes data quality metrics, detects anomalies and schema changes, runs data asserts via dbt tests, and sends alerts to Slack, Email, or its own UI with lineage and test history.

Use cases

• monitor data quality metrics for my dbt project
• get Slack alerts when data anomalies occur
• detect schema changes in my data warehouse
• write custom data quality asserts as dbt tests
• track test history and failed rows for dbt tests
• view data lineage with alerts and metrics per node
• clean and normalize data with ready-made dbt macros

When to choose

• you already use dbt with Postgres, BigQuery, Snowflake, or Redshift and want open-source data observability
• you need anomaly detection, data quality metrics, and alerting integrated into your dbt workflow
• you want metrics stored in your own warehouse rather than a third-party SaaS

When to avoid

• your pipeline does not use dbt
• you need a fully managed observability platform with hosted dashboards out of the box
• your warehouse is not one of the supported engines (Postgres, BigQuery, Snowflake, Redshift)

Facets

library · maturity maintenance

monitoring alerting testing analytics etl analytics databases big-data python cli cloud data-observability data-quality dbt data-reliability anomaly-detection data-warehouse modern-data-stack data-engineering devops web-server

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