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:
When used from within the Python interpreter embedded in the Agent, it provides all the base classes and utilities needed by any Check.
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.
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
Need help? Contact Datadog support.
FAQs
The Datadog Check Toolkit
We found that datadog-checks-base demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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