Skip to content
Ivan Zhang edited this page Oct 12, 2023 · 14 revisions

Welcome to the Panda Patrol Wiki!

Do you have data tests within your data pipelines? Do you have data tests in many different pipelines? Do you want to be able to monitor the health of your data tests and pipelines? Do you want all these tests and monitors in one place? If you answered yes to any of these questions, then Panda Patrol is for you!

Panda Patorl creates dashboards, alerting, and silencing around your existing data tests. The best part? You only need to add less than 5 lines of code for each data test to get it up and running. To get started, check out the Patrols page to see how to add Panda Patrol to your data tests.

Note that Panda Patrol is not a data testing library. It provides additional tooling and functionality around your existing data tests. For your data tests, you can write any Python code or use one of the many existing data testing libraries out there.

Note that Panda Patrol does not currently orchestrate your data tests. At the moment it is meant to be dropped into your existing data tests within your orchestrated data pipelines. It is then executed as part of your data pipeline. Orchestration may be added in the future depending on demand but there are many great orchestration tools out there already.

panda-patrol