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What is re_data?

re_data is an open-source data quality & observability framework for modern data stack. ๐Ÿ˜Š

Currently, re_data focuses on observing the dbt project (together with underlaying data warehouse - Postgres, BigQuery, Snowflake, Redshift).

Live demo

Check out our live demo of what re_data can do for you! ๐Ÿ˜Š




Get information about suspicious data patterns & schema changes automatically without writing tests. re_data detects trends in your data and creates alerts if something seems suspicious.


Monitor predefined and custom metrics about your data. All metrics are stored in your database and accessible for you. re_data custom metrics can be standard dbt macros which make it very easy to add them to your project.


re_data shows data lineage for you data warehouse. (This is imported from dbt graph). You can navigate your data & investigate alerts & metrics related to each node in the graph.


re_data ships with a set of macros to save you time and some pain of writing code for cleaning / normalizing / validating your data. Use them to make your project cleaner ๐Ÿ˜Š. You can also use them as a base for your own metrics or data tests.


re_data ships with a set of generic dbt tests which can be used to assert that metrics computed are meeting your assumptions.

Getting started

re_data is very easy to add to existing dbt projects. Check out installation instructions and follow toy shop tutorial to see how you can generate re_data observability data & UI for your data warehouse.

If you are not using dbt, re_data can still be a great option to start monitoring your existing tables. Check out installation for new users: new to dbt in this case.

Have more questions? Check out the rest of re_data docs, or ask as on Slack! ๐Ÿ˜Š (we are very responsive there)