DataKitchen/dataops-observability
DataOps Observability is part of DataKitchen's Open Source Data Observability. DataOps Observability monitors every data journey from data source to customer value, from any team development environment into production, across every tool, team, environment, and customer so that problems are detected, localized, and understood immediately.
This project helps data professionals ensure the reliability of their data pipelines. It monitors data as it moves from its source to its final use, allowing data teams to quickly detect, pinpoint, and understand problems across different tools and environments. Data engineers, data architects, and operations engineers can use this to maintain robust data delivery.
Use this if you need to continuously track the health and flow of your data, from initial ingestion to customer-facing applications, to preemptively identify and resolve issues.
Not ideal if you are looking for a simple data quality check for static datasets rather than comprehensive, end-to-end data pipeline monitoring.
Stars
50
Forks
3
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 22, 2026
Commits (30d)
0
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