Explore Integrations and Libraries

Discover and build community-driven integrations and libraries to extend Datadog across your stack. Filter by platform, data type, use case, and more.

Showing 2 of 2 Results

library

633

datadogpy

Python

The Datadog Python library (datadogpy) provides convenient interfaces for interacting with Datadog’s HTTP API and sending metrics, events, and service checks via DogStatsD. It supports both UDP and Unix Domain Socket (UDS) transports for DogStatsD. It also provides a CLI tool ('dog') for API operations.

  • Datadog

    https://github.com/DataDog/datadogpy

library

145

datadog-api-client-python

Python

Official Python client library for the Datadog API, providing both synchronous and asynchronous (asyncio) interfaces, and includes features like pagination, retry on rate limiting, proxy configuration, and support for unstable endpoints.

  • Datadog

    https://github.com/DataDog/datadog-api-client-python