Real ChatGPT answer · index seednh6Drye0cgocompleteB2B software · data and analytics platformsinformational
What are some real world open source tools for automating data quality tests and sending Slack alerts when a table row count drops by more than fifty percent
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are some real world open source tools for automating data quality tests and sending Slack alerts when a table row count drops by more than fifty percent
1 real search · 1 real-search pass
open source data quality tools row count anomaly Slack alerts Soda Core Elementary Great Expectations documentationGoogle ↗
OBSERVEDReason
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
open source data quality tools row count anomaly Slack alerts Soda Core Elementary Great Expectations documentation Google ↗
- GitHub - elementary-data/elementary: The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features. · github.com
- GitHub - elementary-data/dbt-data-reliability: This dbt package captures metadata, artifacts, and test results so you can detect anomalies, monitor data quality, and build metadata tables. It powers Elementary OSS and feeds the wider context layer used by Elementary Cloud’s full Data & AI Control Plane. · github.com
- Manage data volume with GX · docs.greatexpectations.io
- GX Core overview · docs.greatexpectations.io
- Create a Checkpoint with Actions · docs.greatexpectations.io
- Great Expectations · github.com
- GitHub - sodadata/soda-core: Data Contracts engine for the modern data stack. https://www.soda.io · github.com
- What is Soda? · docs.soda.io
- Activate anomaly dashboards | Soda v3 · docs.soda.io
- Best open-source data quality and observability tools 2026 · datakitchen.io
- GitHub - awslabs/deequ: Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets. · github.com