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An airflow provider for anomaly detection.

Project description

Anomaly Detection with Apache Airflow

Painless anomaly detection (using PyOD) with Apache Airflow.

  1. Create and express your metrics via SQL queries.
  2. Some YAML configuration fun.
  3. Receive useful alerts when metrics look anomalous.

Getting Started

Check out the example dag to get started.

Installation

Install from PyPI as usual.

pip install airflow-provider-anomaly-detection

Configuration

See the example configuration files in the example dag folder. You can use a defaults.yaml or specific <metric-batch>.yaml for each metric batch if needed.

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airflow_provider_anomaly_detection-0.0.5.tar.gz (14.7 kB view hashes)

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