Features

This section will go over all the features of this library. The current features are:

• AI Generated Data Tests: Automatically generate data tests based off of your table headers, sample of your data, and optional context.
• Anomaly Detection: Automatically detect anomalies in your data.
• Patrol Groups and Patrols: Patrol groups provide a way to organize related patrols. Patrols are decorators around data tests functions and allow the user to specify additional information related to the data test.
• Parameters: Parameters are within data tests to surface parameters onto the frontend. Users can also modify these parameters on the frontend. These updated parameter values are then used in their respective data tests.
• Monitor Data Pipeline Step: Monitor a specific step in your data pipeline so that you know each step is running as expected. Panda Patrol will store the start time, end time, and status of each step in a database. This gives you a high-level overview of your pipeline.
• Store Data Profiles: Store and track data profiles that are generated on the data in your pipelines. This provides greater context into your data pipelines.
• dbt core integration: This library integrates with dbt core and stores your dbt tests within the Panda Patrol UI.