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The Datadog Check Toolkit

Project description

Datadog Checks Base

Latest PyPI version Supported Python versions

Overview

This package provides the Python bits needed by the Datadog Agent to run Agent-based Integrations (also known as Checks).

This package is used in two scenarios:

  1. When used from within the Python interpreter embedded in the Agent, it provides all the base classes and utilities needed by any Check.

  2. When installed in a local environment with a regular Python interpreter, it mocks the presence of a running Agent so checks can work in standalone mode, mostly useful for testing and development.

Please refer to the docs for details.

Installation

Checks from integrations-core already use the toolkit in a transparent way when you run the tests but you can install the toolkit locally and play with it:

pip install datadog-checks-base

Troubleshooting

Need help? Contact Datadog support.

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